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  • New MIT initiative seeks to transform rare brain disorders research

    New MIT initiative seeks to transform rare brain disorders research

    More than 300 million people worldwide are living with rare disorders — many of which have a genetic cause and affect the brain and nervous system — yet the vast majority of these conditions lack an approved therapy. Because each rare disorder affects fewer than 65 out of every 100,000 people, studying these disorders and creating new treatments for them is especially challenging.

    Thanks to a generous philanthropic gift from Ana Méndez ’91 and Rajeev Jayavant ’86, EE ’88, SM ’88, MIT is now poised to fill gaps in this research landscape. By establishing the Rare Brain Disorders Nexus — or RareNet — at MIT’s McGovern Institute for Brain Research, the alumni aim to convene leaders in neuroscience research, clinical medicine, patient advocacy, and industry to streamline the lab-to-clinic pipeline for rare brain disorder treatments.

    “Ana and Rajeev’s commitment to MIT will form crucial partnerships to propel the translation of scientific discoveries into promising therapeutics and expand the Institute’s impact on the rare brain disorders community,” says MIT President Sally Kornbluth. “We are deeply grateful for their pivotal role in advancing such critical science and bringing attention to conditions that have long been overlooked.”

    Building new coalitions

    Several hurdles have slowed the lab-to-clinic pipeline for rare brain disorder research. It is difficult to secure a sufficient number of patients per study, and current research efforts are fragmented, since each study typically focuses on a single disorder (there are more than 7,000 known rare disorders, according to the World Health Organization). Pharmaceutical companies are often reluctant to invest in emerging treatments due to a limited market size and the high costs associated with preparing drugs for commercialization.

    Méndez and Jayavant envision that RareNet will finally break down these barriers. “Our hope is that RareNet will allow leaders in the field to come together under a shared framework and ignite scientific breakthroughs across multiple conditions. A discovery for one rare brain disorder could unlock new insights that are relevant to another,” says Jayavant. “By congregating the best minds in the field, we are confident that MIT will create the right scientific climate to produce drug candidates that may benefit a spectrum of uncommon conditions.”

    Guoping Feng, the James W. (1963) and Patricia T. Poitras Professor in Neuroscience and associate director of the McGovern Institute, will serve as RareNet’s inaugural faculty director. Feng holds a strong record of advancing studies on therapies for neurodevelopmental disorders, including autism spectrum disorders, Williams syndrome, and uncommon forms of epilepsy. His team’s gene therapy for Phelan-McDermid syndrome, a rare and profound autism spectrum disorder, has been licensed to Jaguar Gene Therapy and is currently undergoing clinical trials. “RareNet pioneers a unique model for biomedical research — one that is reimagining the role academia can play in developing therapeutics,” says Feng.

    RareNet plans to deploy two major initiatives: a global consortium and a therapeutic pipeline accelerator. The consortium will form an international network of researchers, clinicians, and patient groups from the outset. It seeks to connect siloed research efforts, secure more patient samples, promote data sharing, and drive a strong sense of trust and goal alignment across the RareNet community. Partnerships within the consortium will support the aim of the therapeutic pipeline accelerator: to de-risk early lab discoveries and expedite their translation to clinic. By fostering more targeted collaborations — especially between academia and industry — the accelerator will prepare potential treatments for clinical use as efficiently as possible.

    MIT labs are focusing on four uncommon conditions in the first wave of RareNet projects: Rett syndrome, prion disease, disorders linked to SYNGAP1 mutations, and Sturge-Weber syndrome. The teams are working to develop novel therapies that can slow, halt, or reverse dysfunctions in the brain and nervous system.

    These efforts will build new bridges to connect key stakeholders across the rare brain disorders community and disrupt conventional research approaches. “Rajeev and I are motivated to seed powerful collaborations between MIT researchers, clinicians, patients, and industry,” says Méndez. “Guoping Feng clearly understands our goal to create an environment where foundational studies can thrive and seamlessly move toward clinical impact.”

    “Patient and caregiver experiences, and our foreseeable impact on their lives, will guide us and remain at the forefront of our work,” Feng adds. “For far too long has the rare brain disorders community been deprived of life-changing treatments — and, importantly, hope. RareNet gives us the opportunity to transform how we study these conditions, and to do so at a moment when it’s needed more than ever.”

    🛸 Recommended Intelligence Resource

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    → Ecovacs

  • Strange 'puffy' alien world breaks every rule for how planets should behave

    Strange 'puffy' alien world breaks every rule for how planets should behave

    1. Astronomy
    2. Exoplanets

    Strange ‘puffy’ alien world breaks every rule for how planets should behave

    News

    By
    Paul Sutter

    published

    14 October 2025

    A low-density, puffy planet orbiting relatively far from a young star in a nearly perpendicular orbit. What’s going on?

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    Artist’s impression of a super-puff planet.
    (Image credit: Pablo Carlos Budassi/Stocktrek Images/Getty Images)

    If you think you’ve met the wildest exoplanet yet, you haven’t learned about TOI-4507 b.

    This strange world, which sits about 578 light-years from the solar system, breaks almost every known rule for how planets should behave. First off, it orbits a very young star that’s just 700 million years old, making it one of the youngest planetary systems ever discovered. The planet is 9x wider than Earth, but only 30 times its mass. That means it’s as wide as Jupiter but less than a tenth of its mass, a very light planet. This odd combination of large size and small mass classifies TOI-4507 b as a “super-puff” — an exoplanet with a large, extended atmosphere.

    Second, TOI-4507 b is on a nearly polar orbit; it swings around its star almost perfectly perpendicular to the star’s rotation. It has a relatively close orbit, completing an entire revolution in just 105 days — but this also makes it one of the longest-period super-puffs ever found. So we have a low-density, puffy planet orbiting relatively far from a young star in a nearly perpendicular orbit. What’s going on?

    You may like

    With TOI-4507 b, there are more mysteries than answers. But the researchers who revealed the discovery of the planet ruled out some possibilities. In a pre-print study that has yet to be peer-reviewed and submitted to arXiv, they used a combination of data from NASA’s Transiting Exoplanet Survey Satellite and ASTEP, a planet-hunting telescope in Antarctica.

    Many super-puffs get their inflated atmospheres from tidal heating. If a planet orbits close to its star in an elliptical orbit, then its interior will stretch and squeeze as the gravitational strength of the star changes. This kind of tidal heating leads to the molten cores and liquid oceans of many moons in the outer solar system, and in other systems, it can heat up a planet, giving it an extended atmosphere.

    But TOI-4507 b is too far from its star for tidal heating to play a significant role.

    An illustration of a planet in a polar orbit around its star. (Image credit: ESO/L. Calçada)

    So perhaps it’s not as big as we think it is. Some planets may have large ring systems that block light just as easily as a planet can, leading to the appearance of large planetary bodies. But while TOI-4507 b is relatively cold, it’s not cold enough to support a ring system for very long.

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    Plus, something dramatic must have happened in this planet’s past. This event might have been quick and catastrophic, causing a misalignment of the protoplanetary disk with the star. Or it might have been slow and steady — for example, if another planet orbiting much farther out were tugging it into a new orbit.

    All of these mysteries make TOI-4507 b ripe for follow-up studies. Because of its brightness and the low density of its atmosphere, TOI-4507 b makes a great candidate for observations with the James Webb Space Telescope, which should have the capabilities to determine what this mysterious planet’s atmosphere is made of — and hopefully unlock some more clues as to how this strange super-puff came to be.

    Join our Space Forums to keep talking space on the latest missions, night sky and more! And if you have a news tip, correction or comment, let us know at: community@space.com.

    Paul SutterSocial Links NavigationSpace.com Contributor

    Paul M. Sutter is a cosmologist at Johns Hopkins University, host of Ask a Spaceman, and author of How to Die in Space.

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  • 3 Best VPN for iPhone (2025), Tested and Reviewed

    Jacob RoachGearOct 14, 2025 7:30 AM

    The Best VPNs for iPhone

    There are dozens of iPhone VPNs at your disposal, but these are the services that will actually keep your browsing safe.

    CommentLoaderSave StorySave this storyCommentLoaderSave StorySave this story

    All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. Learn more.

    Featured in this article

    Best iPhone VPN for Most PeopleNordVPN CompleteRead more$135

    NordVPN (2 Year)

    The Fastest iPhone VPNProton VPN PlusRead more$72

    Proton VPN (2 Year)

    Best Free iPhone VPNWindscribe VPNRead more

    Shop at

    Windscribe (Free)

    Searching for the best VPN for iPhone is terrifying. I hopped on the App Store to see my options, and there were dozens of apps I haven't heard of from companies that sound as shady as they do generic. A recent analysis from the Tech Transparency Project also found that several of these free VPNs route internet traffic through Chinese companies.

    These free VPNs don't have much of a paper trail detailing their company history, and attract unsuspecting users with success. The top result for “VPN” on the App Store has 1.9 million reviews (of dubious legitimacy), and it’s published by a shell company of a shell company, which was registered by yet another company at the address of a law firm that offers mail drop services. But there are some diamonds in the rough. All the best VPN services have apps for iPhone, but I wanted to dig deeper and find the specific apps that work best on Apple's hardware. There are several good options, but these three VPNs are the ones I’d actually use every day.

    Be sure to read our other software guides, like the Best VPNs, Best Password Managers, and Best Website Builders.

    How to Install a VPN on iPhone

    AccordionItemContainerButtonLargeChevron

    There’s a section within the settings on iOS that allows you to set up a custom VPN configuration, and when you install a VPN app on iOS, you’ll see a configuration for your VPN provider appear there. Whenever you attempt to connect to a VPN for the first time, a pop-up will appear asking for permission to create a VPN configuration. Tap Allow, and you’re off to the races.

    You don’t need to pop into the settings, but if you want to set up a custom configuration, you can find VPN management in the settings app. Open it and follow General > VPN & Device Management. There, you can create a custom VPN configuration. Note that Apple only supports the IKEv2, IPsec, and L2TP protocols. If that’s gibberish to you, these are older, less secure protocols, and you don’t need to pay them much mind.

    These custom configurations exist if you want to set up your own VPN. Maybe you’re using a company-issued iPhone and it has a VPN configuration for company resources, or maybe you set up a private VPN using existing cloud infrastructure. For most people, just allowing the VPN app you downloaded to set up a configuration is all you need to do.

    Does the iPhone Have a Built-In VPN?

    AccordionItemContainerButtonLargeChevron

    iPhones have a built-in VPN client, but that’s not what most people are talking about with a VPN. The built-in client allows you to set up custom VPN configurations with the IKEv2, IPsec, or L2TP protocols, but Apple doesn’t provide a VPN service. You’ll need a VPN app like NordVPN or ProtonVPN for service.

    In short, Apple doesn’t offer a VPN with iPhones. It simply offers a client to configure a custom VPN, which is applicable in some niche cases.

    What Does Using a VPN on iPhone Do?

    AccordionItemContainerButtonLargeChevron

    A VPN on iPhone (or elsewhere) protects your internet traffic in a secure tunnel. Before connecting to a website, your internet connection is routed through a VPN server, where it is anonymized and encrypted. In the eyes of the internet, it’s as if all your traffic is coming from that VPN server rather than from the device you’re using.

    The main upside to using a VPN on iPhone is privacy. Because you appear anonymous in the eyes of whatever website or service you’re connecting to, it won’t be able to track your activity or log personal information available in a normal connection. There’s some information sent by your browser that a VPN can’t protect, but VPN providers like Windscribe and NordVPN have tools to combat this type of tracking.

    In addition to keeping you private, a VPN can get around geo-restrictions. For instance, a streaming service like Netflix might have certain movies available in one country but not another. A VPN can make you appear as if you’re connecting from a different country, unlocking that content. This can also be useful when traveling abroad, be it to connect to streaming platforms or services that might block access from other countries, such as a bank.

    Is It Legal to Use a VPN on my iPhone?

    AccordionItemContainerButtonLargeChevron

    VPNs are legal in most countries. There are a few exceptions, notably countries with deep censorship laws and restricted speech, such as Russia and North Korea. Short of those exceptions, VPNs are widely legal to use, regardless of the particular service you’re using.

    However, doing illegal things while connected to a VPN is still illegal. A VPN might help you stay private online, but there aren’t exceptions to the law just for using a VPN. It’s a bit like wearing a mask. It isn’t illegal to wear a mask and hide your identity in public, but if you do something illegal, that’s still against the law. A VPN is no different.

    • Best iPhone VPN for Most People

      Photograph: Jacob Roach

      NordVPN

      Complete

      $135

      NordVPN (2 Year)

      $84

      NordVPN (Yearly)

      NordVPN isn’t just the best VPN for iPhone, it’s a complete security suite for your device. Its Complete plan comes with malware and tracker protection in your browser, a full subscription to NordPass (one of the best password managers), and even 1 TB of secure cloud storage. It also includes scam call protection, which, unfortunately, isn’t available on iOS yet—but as someone who uses it daily to block calls on Android, it’s one of my most anticipated feature additions.

      The security suite is excellent, but the VPN at the heart of the service holds up. Across the US, Nord maintained an average drop in speed of 15.32 percent, which is basically in lockstep with the fastest service I tested, Proton. Nord also has a massive network of servers. It’s not the largest, but it’s the spread that counts. Virtual locations are available in restrictive environments like Somalia and Rwanda, and in major media hubs like the US, you’ll find locations in just about every major city.

      Nord probably has the best app out of all the iPhone VPNs I tested, too. Most apps from reputable brands are easy to use with one-tap connections, and Nord isn’t different. However, it balances that convenience with a lot of power. You can quickly see specialty servers like P2P locations from the home screen, you can tap a country to connect to the fastest server, or choose a specific location, and you can temporarily pause your connection; useful if you run up against an automated VPN block.

      You can also set up multiple emails for dark web monitoring from the app, as well as access Nord’s other services like NordPass and Saily eSIM. Nord’s iPhone app feels basic, but once you start poking around, you’ll quickly find it has just about everything you need.

    • The Fastest iPhone VPN

      Photograph: Jacob Roach

      Proton

      VPN Plus

      $72

      Proton VPN (2 Year)

      $48

      Proton VPN (Yearly)

      ProtonVPN is at the top of the list in our Best VPNs guide, but it takes an ever-so-slight backseat to Nord when it comes to iPhone. That mainly comes down to the app. It’s easy to use and comes with some unique features like the ability to make profiles for server selection based on different criteria, but I don’t find it quite as intuitive as Nord’s app.

      Regardless, Proton topped the list in speeds when I was testing on iPhone, dropping just 15.23 percent on average across the US (the margins were tight on this one!). Proton offers a free plan with a limited server selection, but you can expect much slower speeds on those servers. Here, I’m recommending ProtonVPN’s Plus plan, not only because it unlocks all the servers and offers faster speeds, but also because it’s pocket change compared to most VPNs.

      It’s just $80 for a full year, and even less when you first sign up (Proton offers monthly, annual, and biennial plans). Unlike an increasing number of VPN services, Proton doesn’t offer multiple plans. Even with VPN Plus, you get 10 simultaneous connections, malware and ad blocking, peer-to-peer servers, and Proton’s Secure Core network, which routes your traffic through a small network of servers wholly owned and operated by Proton.

      Proton offers much more than a VPN, however, with Proton Unlimited. It includes Proton Pass—also one of our top-rated password managers—encrypted storage, the wildly popular Proton Mail, and even a crypto wallet, if that’s your game. I’m recommending VPN Plus here due to how inexpensive it is, but don’t sleep on Proton Unlimited; it’s actually cheaper than several leading VPN providers and comes with a lot more.

    • Best Free iPhone VPN

      Photograph: Jacob Roach

      Windscribe

      VPN

      Shop at

      Windscribe (Free)

      $69

      Windscribe (Pro, Yearly)

      Searching for the best free VPN for iPhone is just asking for trouble. Those shady services I mentioned at the top of this article? They’d all like you to believe they’re free VPNs. Nothing is ever truly free, but Windscribe is a remarkably rare exception. It has an excellent free plan, which offers a gentle (and cheap) on-ramp to a paid plan if you want to upgrade.

      Unlike Proton, Windscribe restricts data rather than speeds. You have access to servers in 10 countries, but there’s no hit to speed or the number of devices you can connect. You get 2 GB per month to start, 10 GB if you sign up with an email, and an extra 5GB if you post about Windscribe on social media. And, if you want unlimited data, you can build your own plan. Rather than purchasing access to Windscribe’s full network, you can unlock unlimited data for $3 per month, and add locations for an extra $1 per month.

      Windscribe is one of only two free VPNs I’m comfortable recommending (the other being Proton), and Windscribe wins out for iPhone. The app is fantastic. Windscribe gives you the traditional one-tap connection on the main screen, but if you dig into the settings, you’ll find a ton of options, from DNS settings to custom VPN configurations.

      My favorite feature, however, is R.O.B.E.R.T. It’s an ad, malware, and tracker blocker not dissimilar from the features available at Nord or Proton, but it has a much wider range of options. You can block things like gambling websites and “news” websites known to publish misinformation. You can set up custom rules, as well, blocking specific trackers, ad servers, or even specific websites. You can only have three custom rules on the free plan, but if you upgrade to Windscribe Pro, that goes up to 1,000 custom rules. If you’re diligent enough, you can basically tailor your browsing to only the things you want with R.O.B.E.R.T.

    Other iPhone VPNs We Tested

    Surfshark: Surfshark was a strong contender for the main list. Even its Starter plan comes with extra features like a masked email generator. Features like ad and tracker blocking, as well as unlimited simultaneous connections, come standard across plans. However, it was a bit slower than my top picks, dropping around 20 percent of speed on average, compared to around 15 percent for the top options.

    Mullvad: Mullvad is a favorite among privacy enthusiasts, and for good reason. It doesn’t fuss with multi-year discounts or referral programs, and you don’t even need to provide an email to sign up for an account. You can even pay the static monthly fee by mailing Mullvad cash. It’s a great service if privacy is your top priority, but it trades speeds and features in the process. VPN services like Nord and Proton have quickly grown into full privacy and security suites, while Mullvad is more focused on making a robust VPN. In the context of an iPhone, the scales tip more toward those security suites, but Mullvad is still a great privacy-focused option to keep in mind.

    ExpressVPN: By the numbers, ExpressVPN should be at the top of the list. It has a ton of servers, a featureset that can go toe-to-toe with Nord, and speeds only a touch below Proton. However, ExpressVPN has found itself in a spiral of increasing controversies over the past four years, and the brand has yet to get back on solid footing. After being purchased by Kape Technologies—the company behind the infamous adware company Crossrider—former US intelligence official Daniel Gericke took over at CTO and continued in that role for two years, even after being fined over $300,000 by the US Department of Justice for hacking activities on behalf of a foreign government. Gericke left in 2023, but that same year, ExpressVPN experienced a large swath of layoffs, and Kape, its parent company, was delisted from the London Stock Exchange. The vast majority of shares went to Unikmind Holdings Limited, a company owned by Israeli billionaire Teddy Sagi, who got his start by creating gambling software Playtech. That’s an extremely condensed version of what ExpressVPN has gone through over the past few years. The company hasn’t done anything nefarious, but the revolving door of executive control tied to controversial names doesn’t inspire confidence.

    Private Internet Access: Private Internet Access, or PIA, is also owned by Kape Technologies, and it followed a similar playbook as ExpressVPN and CyberGhost, which Kape also owns. After the acquisition and community backlash, there’s been very little transparency about what’s going on in the company. A connection to Kape definitely raises questions, but that doesn’t immediately disqualify a service from being included. Unfortunately for PIA, it had much slower speeds than any of the other VPN services I tested, so regardless of ownership, it isn’t a top pick for iPhone VPNs.

    iPhone VPN Feature Comparison

    Services and FeaturesNordVPNProtonVPNWindscribeSimultaneous Connections1010 (1 with Proton Free)UnlimitedServer Locations165 locations120+ locations (5 locations with Proton Free)134+ locations (10 locations with Windscribe Free)Peer-to-Peer (P2P) ServersYesYesAll serversTor SupportYesYesYesAd/Tracker BlockingYesYesYes (plus custom blocklist)Dark Web MonitoringYesYes (only available through web portal)NoDouble-Hop ConnectionYesYesYesAppsWindows, macOS, Linux, Android, iOS, Chrome, Firefox, Edge, Android TV, Apple TV, Fire TVWindows, macOS, Linux, ChromeOS, Android, iOS, Chrome, Firefox, Android TV, Apple TV, Fire TVWindows, macOS, Linux, Android, iOS, Chrome, Firefox, Edge, Android TV, Apple TV, Fire TVIndependent AuditsYesYesYesOpen Source AppsNoYesYesFree PlanNoYes (1 device, 5 locations, reduced speeds)Yes (10GB per month in 10 locations)Plan Duration1 Month, 1 Year, 2 Years1 Month, 1 Year, 2 Years1 Month, 1 YearMonthly Price$13 (Basic), $14 (Plus), $15 (Complete), $18 (Prime)$10 (Plus), $13 (Unlimited)$9 (Pro), $3 for unlimited dataAnnual Price (First Year)$60 (Basic), $72 (Plus), $84 (Complete), $108 (Prime)$80 (Plus), $120 (Unlimited)$69

    You might be surprised how similar the three VPNs I chose are when you break down their features, but that’s not an accident. Given how restrictive I was with who made the final cut, there’s a pretty high bar for inclusion. Although there are some minor differences, I designed this list in a way that you can choose one of my picks without reading a single word and still come out the other side with an excellent VPN for iPhone.

    How We Tested

    To earn the best iPhone VPN title, a service needs to satisfy three criteria. It needs to be secure, fast, and easy to use. That may seem straightforward enough, but there’s a little more that goes into it. For ease of use, I only looked at VPNs that offer a one-tap connection. If you need to configure anything, that’s a disqualification. That still encompasses a lot of the most popular VPNs on iPhone, so I narrowed the field further by focusing on apps that balance usability with power. You should have all the relevant features in the iOS app that are available in the desktop app, and organized in a way that they don’t disrupt that one-tap experience.

    Speed testing is where I focused a lot of my testing time. Speed testing is highly variable, and trying to come out with one singular number to encompass the speed of thousands of servers is a fool’s errand. The numbers I gathered for this guide are the result of 20 tests I ran for each VPN, then averaged.

    I tested five locations for each VPN, measuring my unprotected speed immediately before testing and running three passes before averaging. Each location was tested at a different time of day, and I removed any outliers before averaging. For this guide, that meant if there was greater than a 10 percent deviation between two of the three passes. After averaging the speed drop for each location, I gathered all of those numbers together and averaged them for a final speed drop.

    Finally, security. The traditional wisdom with a VPN is that you, at some point, have to put some faith in the company that its privacy policy is accurate and it isn’t lying about its logging practices. That didn’t do it for me. Again, I set a high bar for inclusion.

    Every VPN I’ve included here has not only been independently audited, but also been forced to uphold its no-logs policy in legal proceedings. You indeed need to put some trust that the VPN provider you’re using is telling the truth, but the options I included all have rock-solid track records when it comes to transparency.

    Power up with unlimited access to WIRED. Get best-in-class reporting and exclusive subscriber content that's too important to ignore. Subscribe Today.

    Comments

    Back to topTriangleJacob Roach is a product writer and reviewer at WIRED, focused on software as a service (SaaS) products, including VPNs, password managers, cloud storage, and antivirus applications. Previously he worked as lead reporter at Digital Trends, and his work has been cited in Fox News, Business Insider, and Futurism, among … Read MoreProduct Writer & Reviewer

    TopicsShoppingiPhoneiosappleVPNbuying guidesphonessmartphonesRead MoreThe Best iPhone 17 Cases and AccessoriesProtect your expensive iPhone 17, iPhone Air, or Pro iPhone with our favorite cases and screen protectors.The Best MagSafe Phone GripsTake the strain off with these comfortable, durable, and lightweight smartphone grips.Which iPhone Should You Buy (or Avoid) Right Now?The iPhone 17 lineup is here. Here are all the details on Apple’s smartphones to help you find the right model, whether that’s the iPhone Air or iPhone 16e.The Best VPNs to Protect Yourself OnlineEvery VPN says it’s the best, but only some of them are telling the truth.The Best Folding PhonesReady to move on from the traditional glass slab? Introduce a hinge into your life with these folding smartphones.The Best 3-in-1 Apple Wireless ChargersKeep your iPhone, Apple Watch, and AirPods topped up with these WIRED-tested docking systems.The Best iPad to Buy (and a Few to Avoid)We break down the current iPad lineup to help you figure out which of Apple’s tablets is best for you.The Best MagSafe Wallets to Keep Your Stuff Safely in One PlaceThese magnetic wallets will keep your cards safe across both MagSafe and Qi2-enabled devices.The Best USB-C Cables for Your Phone, Tablet, or LaptopUnravel the tangled world of cords and find the ones you need to charge your gadgets and transfer data.The Best Qi2 and MagSafe Power Banks for Your PhoneKeep your iPhone or Qi2 Android phone topped up with one of these WIRED-tested Qi2 or MagSafe portable chargers.The Best Qi2 and MagSafe Wireless ChargersTop up your Qi2 Android phone or MagSafe iPhone with a magnetic wireless charging stand, pad, car charger, or power bank.The 25 Key Settings You Need to Change on Your iPhoneTweak these settings to get the most out of your feature-packed iPhone.

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  • OpenAI–Broadcom alliance signals a shift to open infrastructure for AI

    OpenAI–Broadcom alliance signals a shift to open infrastructure for AI

    OpenAI has partnered with Broadcom to co-develop and deploy its first in-house AI processors. The move could reshape data center networking dynamics and chip supply strategies as the ChatGPT maker races to secure more computing power for its rapidly growing AI workloads.

    The multi-year collaboration will deploy 10 gigawatts of OpenAI-designed accelerators and Broadcom’s Ethernet-based networking systems starting in 2026, underscoring a move toward custom silicon and open networking architectures that could influence how enterprises build and scale future AI data centers.

    “By designing its own chips and systems, OpenAI can embed what it’s learned from developing frontier models and products directly into the hardware, unlocking new levels of capability and intelligence,” the two companies said in a statement. “The racks, scaled entirely with Ethernet and other connectivity solutions from Broadcom, will meet surging global demand for AI, with deployments across OpenAI’s facilities and partner data centers.”

    Ethernet’s AI advantage grows

    The decision to rely on Broadcom’s Ethernet fabric, rather than Nvidia’s InfiniBand interconnects, signals OpenAI’s intent to build a more open and scalable networking backbone that could set a precedent for AI infrastructure across hyperscale and enterprise environments.

    Analysts suggest that this is in line with a broader industry momentum toward open networking standards, which can deliver flexibility and interoperability.

    “OpenAI’s choice signals a shift toward more open, cost-efficient, and scalable architectures,” said Charlie Dai, VP and principal analyst at Forrester. “Ethernet offers broader interoperability and avoids vendor lock-in, which could accelerate the adoption of disaggregated AI clusters. This move is another attempt to challenge InfiniBand’s dominance in high-performance AI workloads and may push hyperscalers to standardize on Ethernet for ecosystem diversity and digital sovereignty.”

    The decision also reflects a future of AI workloads running on heterogeneous computing and networking infrastructure, said Lian Jye Su, chief analyst at Omdia.

    “While it makes sense for enterprises to first rely on Nvidia’s full stack solution to roll out AI, they will generally integrate alternative solutions such as AMD and self-developed chips for cost efficiency, supply chain diversity, and chip availability,” Su said. “This means data center networking vendors will need to consider interoperability and open standards as ways to address the diversification of AI chip architecture.”

    Hyperscalers and enterprise CIOs are increasingly focused on how to efficiently scale up or scale out AI servers as workloads expand. Nvidia’s GPUs still underpin most large-scale AI training, but companies are looking for ways to integrate them with other accelerators.

    Neil Shah, VP for research at Counterpoint Research, said that Nvidia’s recent decision to open its NVLink interconnect to ecosystem players earlier this year gives hyperscalers more flexibility to pair Nvidia GPUs with custom accelerators from vendors such as Broadcom or Marvell.

    “While this reduces the dependence on Nvidia for a complete solution, it actually increases the total addressable market for Nvidia to be the most preferred solution to be tightly paired with the hyperscaler’s custom compute,” Shah said.

    Most hyperscalers have moved toward custom compute architectures to diversify beyond x86-based Intel or AMD processors, Shah added. Many are exploring Arm or RISC-V designs that can be tailored to specific workloads for greater power efficiency and lower infrastructure costs.

    Shifting AI infrastructure strategies

    The collaboration also highlights how networking choices are becoming as strategic as chip design itself, suggesting a change in how AI workloads are powered and connected.

    OpenAI’s move underscores a broader industry shift toward diversifying supply chains and ensuring better control over performance and cost.

    “This partnership underscores a growing trend to reduce dependency on Nvidia’s GPUs and proprietary stack,” Dai added. “As AI adoption continues to scale and AI leaders seek more balance between performance gains and cost control, vertical integration through custom silicon becomes strategic. This could elevate ASICs and Ethernet-based fabrics and foster competition among chipmakers.” However, Su noted that only a handful of enterprises, mainly hyperscalers and large GenAI vendors, will be able to design their own AI hardware while providing sufficient internal software support. Most enterprises will likely continue to rely on Nvidia’s full-stack solutions.

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  • Scientists build artificial neurons that work like real ones

    UMass Amherst engineers have built an artificial neuron powered by bacterial protein nanowires that functions like a real one, but at extremely low voltage. This allows for seamless communication with biological cells and drastically improved energy efficiency. The discovery could lead to bio-inspired computers and wearable electronics that no longer need power-hungry amplifiers. Future applications may include sensors powered by sweat or devices that harvest electricity from thin air.

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  • Rocket Lab launches private Japanese Earth-imaging satellite to orbit (video)

    Rocket Lab launches private Japanese Earth-imaging satellite to orbit (video)

    1. Space Exploration
    2. Launches & Spacecraft

    Rocket Lab launches private Japanese Earth-imaging satellite to orbit (video)

    News

    By
    Mike Wall

    published

    14 October 2025

    The “Owl New World” mission lifted off today (Oct. 14) at 12:33 p.m. ET.

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    Rocket Lab launched a radar satellite for Synspective today (Oct. 14), the seventh spacecraft it has lofted for the Japanese Earth-observation company to date.

    An Electron rocket lifted off from Rocket Lab‘s New Zealand site today at 12:33 p.m. EDT (1630 GMT; 5:33a.m. Oct. 15 local New Zealand time), on a mission called “Owl New World.”

    The name is a reference to the payload — one of Synspective’s Strix radar-imaging satellites. (Strix is a genus of owls.)

    You may like

    Rocket Lab shows off its new modified Electron payload fairing to accommodate a large, next-generation Synspective satellite. Rocket Lab posted this photo on X on Oct. 14, the day it launched its seventh mission for Synspective. (Image credit: Rocket Lab)

    This particular spacecraft is “the first of a new generation of satellites by Synspective for its low Earth orbit constellation that provides high-frequency, high-resolution Earth observation data for disaster response and management, national security and environmental monitoring,” Rocket Lab wrote in a mission description, which you can find here.

    This Strix satellite has a particularly wide frame, which spurred Rocket Lab to build a custom “arrowhead” payload fairing to accommodate it.

    All went according to plan on today’s launch, according to Rocket Lab: Electron deployed the Strix satellite 362 miles (583 kilometers) above Earth just over 50 minutes after launch, right on schedule.

    Seven Strix satellites have reached the final frontier to date, on seven different Electron flights. All of these missions have had “owl” names: “The Owl’s Night Begins,” “The Owl’s Night Continues,” “The Owl Spreads Its Wings,” “Owl Night Long,” “Owl For One, One For Owl,” “Owl The Way Up” and now “Owl New World.”

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    There will be another 20 such launches after today to finish building out the constellation, according to Rocket Lab.

    Today’s launch was Rocket Lab’s 15th of 2025 and 73rd overall to date.

    Editor’s note: This story was updated at 12:50 p.m. ET on Oct. 14 with news of successful liftoff, then again at 1:54 p.m. ET with news of satellite deploy.

    Join our Space Forums to keep talking space on the latest missions, night sky and more! And if you have a news tip, correction or comment, let us know at: community@space.com.

    Mike WallSocial Links NavigationSenior Space Writer

    Michael Wall is a Senior Space Writer with Space.com and joined the team in 2010. He primarily covers exoplanets, spaceflight and military space, but has been known to dabble in the space art beat. His book about the search for alien life, “Out There,” was published on Nov. 13, 2018. Before becoming a science writer, Michael worked as a herpetologist and wildlife biologist. He has a Ph.D. in evolutionary biology from the University of Sydney, Australia, a bachelor’s degree from the University of Arizona, and a graduate certificate in science writing from the University of California, Santa Cruz. To find out what his latest project is, you can follow Michael on Twitter.

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  • Nvidia: Latest news and insights

    Nvidia: Latest news and insights

    More processor coverage on Network World:
    Intel news and insights |     AMD news and insights

    With its legacy of innovation in GPU technology, Nvidia has become a dominant force in the AI market.  Nvidia’s partners read like a technology who’s who list – e.g., AWS, Google Cloud, Microsoft Azure, Dell, HPE – and also crosses into vertical industries such as healthcare, finance, automotive, and manufacturing.

    From its gaming roots, Nvidia’s GPUs have evolved to power breakthroughs in scientific simulations, data analysis, and machine learning.

    Follow this page for the latest news, analysis, and features on Nvidia’s advancements and their impact on enterprise transformation.

    Nvidia news and analysis

    Inside Nvidia’s ‘grid-to-chip’ vision: How Vera Rubin and Spectrum-XGS advanceAI giga-factories

    October 13, 2025: Nvidia will be front-and-center at this week’s Global Summit for members of the Open Compute Project. The company is making announcements on several fronts, including the debut of Vera Rubin MGX, its next-gen architecture fusing CPUs and GPUs, and Spectrum-XGS Ethernet, a networking fabric designed for “giga-scale” AI factories.

    Nvidia and Fujitsu team for vertical industry AI projects

    October 6, 2025: Nvidia has partnered with Fujitsu to collaborate on vertical industry-specific artificial intelligence projects. The partnership will focus on co-developing and delivering an AI agent platform tailored for industry-specific agents in sectors such as healthcare, manufacturing, and robotics.

    Nvidia and OpenAI open $100B, 10 GW data center alliance

    September 23, 2025: OpenAI and Nvidia will create a strategic partnership to deploy at least 10 gigawatts of Nvidia systems for OpenAI’s next-generation AI infrastructure.The first phase is expected to come online in the second half of 2026 using Nvidia’s Vera Rubin CPU/GPU combination platform to train and run new models.

    Who wins/loses with the Intel-Nvidia union?

    September 22, 2025: Nvidia is dipping into its $56 billion bank account to acquire a 5% stake in Intel for $5 billion, making it the second largest shareholder of Intel stock after the federal government’s recent investment. The deal provides Nvidia greater access to the x86 ecosystem, important for the enterprise data center market, and provides Intel with access to GPUs that have demand and can move their CPU products as well.

    Nvidia reportedly acquires Enfabrica CEO and chip technology license

    September 19, 2025: Nvidia has hired away the CEO and other staff of chip interconnect maker Enfabrica, and licensed its core technologies in a deal worth over $900 million, Behind the move is demand for computing capacity to power generative AI for the likes of OpenAI, Anthropic, Mistral, AWS, Microsoft, and Google.

    September 18, 2025: Intel will collaborate with Nvidia to design CPUs with Nvidia’s NVLink high-speed chip interconnect. Nvidia and Intel also agreed to “jointly develop multiple generations of custom data center and PC products,” they said in a joint statement.

    China’s strike on Nvidia threatens global AI supply chains, sparking enterprise concerns

    September 16, 2025: China has accused Nvidia of breaching its anti-monopoly law, a move that could disrupt the chipmaker’s global operations and heighten risks for enterprises dependent on its GPUs as US-China trade tensions escalate.

    Nvidia rolls out new GPUs for AI inferencing, large workloads

    September 9, 2025: Nvidia has taken the wraps off a new purpose-built GPU along with a next-generation platform specifically targeted at massive-context processing as well as token software coding and generative video.       

    Cadence adds Nvidia to digital twin tool for data center design

    September 9, 2025: Cadence has updated to its Cadence Reality Digital Twin Platform library with the addition of digital twins for Nvidia’s DGX SuperPOD with DGX GB200 systems.

    Nvidia networking roadmap: Ethernet, InfiniBand, co-packaged optics will shape data center of the future

    September 4, 2025: Nvidia’s networking roadmap is based on data centers evolution into a new unit of computing, from a focus on CPUs to GPUs as the primary computing units and from the distribution of functions across different components to support the infrastructure for AI workload

    Nvidia’s new computer gives AI brains to robots

    August 25, 2025: Nvidia CEO Jensen Huang sees a future where billions of robots serve humans, bringing in trillions of dollars in revenue for the company. To meet that goal, Nvidia on Monday unveiled a new computing device that will go into high-performing robots that could then try to replicate human behavior.

    Nvidia turns to software to speed up its data center networking hardware for AI

    August 22, 2025: Nvidia wants to make long-haul GPU-to-GPU communication over Ethernet faster and more reliable, and hopes to achieve that with its new Spectrum-XGS algorithms, software protocols baked into Nvidia’s latest Ethernet gear. .

    Nvidia: ‘Graphics 3.0’ will drive physical AI productivity

    August 15, 2025: Nvidia has floated the idea of “Graphics 3.0” with the hope of making AI-generated graphics central to physical productivity. The concept revolves around graphics created by genAI tools. Nvidia say AI-generated graphics could help in training robots to do their jobs in the physical world or by helping AI assistants automate the creation of equipment and structures.

    Nvidia launches Blackwell-powered RTX Pro GPUs for compact AI workstations

    August 12, 2025: Nvidia announced two new professional GPUs, the RTX Pro 4000 Small Form Factor (SFF) and the RTX Pro 2000. Built on its Blackwell architecture, Nvidia’s new GPUs aim to deliver powerful AI capabilities in compact desktop and workstation deployments.

    Nvidia’s new genAI model helps robots think like humans

    August 11, 2025: Nvidia has developed a genAI model to help robots make human-like decisions by analyzing surrounding scenes. The Cosmos Reason model in robots can take in information from video and graphics input, analyze the data, and use its understanding to make decisions.

    Nvidia patches critical Triton server bugs that threaten AI model security

    August 5, 2025: A surprising attack chain in Nvidia’s Triton Inference Server, starting with a seemingly minor memory-name leak, could allow full remote server takeover without user authentication.

    China demands ‘security evidence’ from Nvidia over H20 chip backdoor fears

    August 4, 2025: China escalated pressure on Nvidia with the state-controlled People’s Daily publishing an opinion piece titled “Nvidia, how can I trust you?” — a day after regulators summoned company officials over alleged security vulnerabilities in H20 artificial intelligence chips.

    Nvidia to restart H20 exports to China, unveils new export-compliant GPU

    July 15, 2025: Nvidia will restart H20 AI chip sales to China and release a new GPU model compliant with export rules, a move that could impact global AI hardware strategies for enterprise IT teams. Nvidia has applied for US approval to resume sales and says that the government has indicated licenses will be granted and deliveries could begin soon.

    Nvidia GPUs are vulnerable to Rowhammer attacks

    July 15, 2025: Nvidia has issued a security reminder to application developers, computer manufacturers, and IT leaders that modern memory chips in graphic processors are potentially susceptible to so-called Rowhammer exploits after Canadian university researchers proved that an Nvidia A6000 GPU could be successfully compromised with a similar attack.

    Nvidia hits $4T market cap as AI, high-performance semiconductors hit stride

    July 11, 2025: Nvidia became the first publicly traded company to surpass a $4 trillion market capitalization value, 13 months after surpassing the $3 trillion mark. This makes Nvidia the world’s most valuable company ahead of Apple and Microsoft.

    New Nvidia technology provides instant answers to encyclopedic-length questions

    Jul 8, 2025: Have a question that needs to process an encyclopedia-length dataset? Nvidia says its new technique can answer it instantly. Built leveraging the company’s Blackwell processor’s capabilities, the new “Helix Parallelism” method allows AI agents to process millions of words — think encyclopedia-length — and support up to 32x more users at a time.

    Nvidia doubles down on GPUs as a service

    July 8, 2025: Nvidia’s recent initiative to dive deeper into the GPU-as-a-service (GPUaaS) model marks a significant and strategic shift that reflects an evolving landscape within the cloud computing market. 

    Nvidia, Perplexity to partner with EU and Middle East AI firms to build sovereign LLMs

    June 12, 2025: Nvidia and AI search firm Perplexity said they are joining hands with model builders and cloud providers across Europe and the Middle East to refine sovereign large-language models (LLMs) and accelerate enterprise AI uptake in local industries.

    Nvidia: ‘Sovereign AI’ will change digital work

    June 11, 2025: Nvidia executives think sovereign AI has the potential to change digital work as generative AI (genAI) aligns with national priorities and local regulations.

    AWS cuts prices of some EC2 Nvidia GPU-accelerated instances

    June 9, 2025: AWS has reduced the prices of some of its Nvidia GPU-accelerated instances to attract more AI workloads while competing with rivals, such as Microsoft and Google, as demand for GPUs and the cost of securing them continues to grow.

    Nvidia aims to bring AI to wireless

    June 6, 2025: Nvidia hopes to maximize RAN infrastructure use (traditional networks average a low 30% to 35%), use AI to rewrite the air interface, and enhance performance and efficiency through radio signal processing. The longer-term goal is to seamlessly process AI traffic at the network edge to create new monetization opportunities for service providers.

    Oracle to spend $40B on Nvidia chips for OpenAI data center in Texas

    May 26, 2025: Oracle is reportedly spending about $40 billion on Nvidia’s high-performance computer chips to power OpenAI’s new data center in Texas, marking a pivotal shift in the AI infrastructure landscape that has significant implications for enterprise IT strategies.

    Nvidia eyes China rebound with stripped-down AI chip tailored to export limits

    May 26, 2025: Nvidia plans to launch a lower-cost AI chip for China in June, aiming to protect market share under the US export controls and signal a broader shift toward affordable, segmented products that could impact global enterprise AI spending.

    Nvidia introduces ‘ridesharing for AI’ with DGX Cloud Lepton

    May 19, 2025: Nvidia introduced DGX Cloud Lepton, an AI-centric cloud software program that makes it easier for AI factories to rent out their hardware to developers who wish to access performant compute globally.

    May 19, 2025: Nvidia kicked off the Computex systems hardware tradeshow with the news it has opened the NVLink interconnect technology to the competition with the introduction of NVLink Fusion. NVLink is a high-speed interconnect born out of its Mellanox networking group which lets multiple GPUs in a system or rack share compute and memory resources, thus making many GPUs appear to the system as a single processor.

    AMD, Nvidia partner with Saudi startup to build multi-billion dollar AI service centers

    May 15, 2025: As part of the avalanche of business deals coming from President Trump’s Middle East tour, both AMD and Nvidia have struck multi-billion dollar deals with an emerging Saudi AI firm. The deals served as the coming out party for Humain, a state-backed artificial intelligence (AI) company that operates under the Kingdom’s Public Investment Fund (PIF) and is chaired by Crown Prince Mohammed bin Salman. 

    Nvidia, ServiceNow engineer open-source model to create AI agents

    May 6, 2025: Nvidia and ServiceNow have created an AI model that can help companies create learning AI agents to automate corporate workloads..The open-source Apriel model, available generally in the second quarter on HuggingFace, will help create AI agents that can make decisions around IT, human resources and customer-service functions.

    Nvidia AI supercluster targets agents, reasoning models on Oracle Cloud

    April 29, 2025: The move marks the first wave of liquid-cooled Nvidia GB200 NVL72 racks in OCI data centers, involving thousands of Nvidia Grace CPUs and Blackwell GPUs. 

    Nvidia says NeMo microservices now generally available

    April 23, 2025: Nvidia announced the general availability of neural module (NeMo) microservices, a modular platform for building and customizing gen AI models and AI agents.NeMo microservices integrate with partner platforms to provide features including prompt tuning, supervised fine-tuning, and knowledge retrieval tools.

    Nvidia expects ban on chip exports to China to cost $5.5B

    April 16, 2025: Nvidia now expects new US government restrictions on exports of its H20 chip to China will cost the company as much as $5.5 billion.

    Incomplete patching leaves Nvidia, Docker exposed to DOS attacks

    April 15, 2025: A critical race condition bug affecting the Nvidia Container Toolkit, which received a fix in September, might still be open to attacks owing to incomplete patching.

    Nvidia lays out plans to build AI supercomputers in the US

    April 14, 2025: There was mixed reaction from industry analysts over an announcement that Nvidia plans to produce AI supercomputers entirely in the US. The company said in a blog post that, together with its manufacturing partners, it has commissioned more than one million square feet (92,900 square meters) of manufacturing space to build and test Nvidia Blackwell chips in Arizona and AI supercomputers in Texas.

    Potential Nvidia chip shortage looms as Chinese customers rush to beat US sales ban

    April 2, 2025: The AI chip shortage could become even more dire as Chinese customers are purportedly looking to hoard Nvidia chips ahead of a proposed US sales ban. According to inside sources, Chinese companies including ByteDance, Alibaba Group, and Tencent Holdings have ordered at least $16 billion worth of Nvidia’s H20 server chips for running AI workloads in just the first three months of this year.

    Nvidia’s Blackwell raises the bar with new MLPerf Inference V5.0 results

    April 2, 2025: Nvidia released a set of MLPerf Inference V5.0 benchmark results for its Blackwell GPU, the successor to Hopper, saying that its GB200 NVL72 system, a rack-scale offering designed for AI reasoning, set a series of performance records.

    5 big takeaways from Nvidia GTC

    March 25, 2025: Now that the dust has settled from Nvidia’s GTC 2025, a few industry experts weighed in on some core big picture developments from the conference. Here are five of their top observations.

    Nvidia wants to be a one-stop enterprise technology shop

    March 24, 2025: After last week’s Nvidia GTC 2025 event, a new, fuller picture of the vendor emerged. Analysts agree that Nvidia is not just a graphics chip provider anymore. It’s a full-stack solution provider, and GPUs are just one of many parts.

    Nvidia launches AgentIQ toolkit to connect disparate AI agents

    March 21, 2025: As enterprises look to adopt agentic AI to boost the efficiency of their applications, Nvidia introduced a new open-source software library — AgentIQ toolkit — to help developers connect disparate agents and agent frameworks. The toolkit, according to Nvidia, packs in a variety of tools, including ones to weave in RAG, search, and conversational UI into agentic AI applications.

    Nvidia launches research center to accelerate quantum computing breakthrough

    March 21, 2025: In a move to help accelerate the timeline for practical, real-world quantum applications, Nvidia is establishing the Nvidia Accelerated Quantum Research Center. “Quantum computing will augment AI supercomputers to tackle some of the world’s most important problems,” Nvidia CEO Jensen Huang said.

    Nvidia, xAI and two energy giants join genAI infrastructure initiative

    March 19, 2025: An industry generative artificial intelligence (genAI) alliance, the AI Infrastructure Partnership (AIP), on Wednesday announced that xAI, Nvidia, GE Vernova, and NextEra Energy were joining BlackRock, Microsoft, and Global Infrastructure Partners as members.

    IBM broadens access to Nvidia technology for enterprise AI

    March 19, 2025: New collaborations between IBM and Nvidia have yielded a content-aware storage capability for IBM’s hybrid cloud infrastructure, expanded integration between watsonx and Nvidia NIM, and AI services from IBM Consulting that use Nvidia Blueprints.

    Nvidia’s silicon photonics switches bring better power efficiency to AI data centers

    March 19, 2025: Amid the flood of news from Nvidia’s annual GTC event, one item stood out. Nvidia introduced new silicon photonics network switches that integrate network optics into the switch using a technique called co-packaged optics (CPO), replacing traditional external pluggable transceivers. While Nvidia alluded to its new switches providing a cost savings, the primary benefit is to reduce power consumption with an improvement in network resiliency.

    What is Nvidia Dynamo and why it matters to enterprises?

    March 19, 2025: Chipmaker Nvidia has released a new open-source inferencing software — Dynamo, at its GTC 2025 conference, that will allow enterprises to increase throughput and reduce cost while using large language models on Nvidia GPUs.

    Nvidia, xAI and two energy giants join genAI infrastructure initiative

    March 19, 2025:  AI Infrastructure Partnership (AIP) announced that xAI, Nvidia, GE Vernova, and NextEra Energy joined the AIP. But given that no financial commitments or any other details were released, will it make a difference?

    HPE, Nvidia broaden AI infrastructure lineup

    March 19, 2025: HPE news from Nvidia GTC includes a new Private Cloud AI developer kit, Nvidia AI blueprints, GPU optimization capabilities, and servers built with Nvidia Blackwell Ultra and Blackwell architecture.

    Cisco, Nvidia team to deliver secure AI factory infrastructure

    March 18, 2025: Cisco and Nvidia have expanded their partnership to create their most advanced AI architecture package to date, designed to promote secure enterprise AI networking.

    Nvidia’s ‘hard pivot’ to AI reasoning bolsters Llama models for agentic AI

    March 18, 2025: The company has post-trained its new Llama Nemotron family of reasoning models to improve multistep math, coding, reasoning, and complex decision-making. The enhancements aim to provide developers and enterprises with a business-ready foundation for creating AI agents that can work independently or as part of connected teams.

    Nvidia details its GPU, CPU, and system roadmap for the next three years

    March 18, 2025: Nvidia CEO Jensen Huang shared previously unreleased specifications for its Rubin graphics processing unit (GPU), due in 2026, the Rubin Ultra coming in 2027, and announced the addition of a new GPU called Feynman to the mix for 2028.

    Oracle, Nvidia partner to add AI software into OCI services

    March 18, 2025: Nvidia’s AI Enterprise stack will be available natively through the OCI Console and will be available anywhere in OCI’s distributed cloud while providing enterprises access to over 160 AI tools for training and inference, including NIM microservices, the companies said in a joint statement at Nvidia’s annual GTC conference.

    Nvidia GTC 2025: What to expect from the AI leader

    March 3, 2025: Last year, Nvidia’s GTC 2024 grabbed headlines with the introduction of the Blackwell architecture and the DGX systems powered by it. With Nvidia GTC 2025 right around the corner, the tech world is eager to see what Nvidia – and its partners and competitors – will unveil next. 

    Cisco, Nvidia expand AI partnership to include Silicon One technology

    February 25, 2025; Cisco and Nvidia have expanded their collaboration to support enterprise AI implementations by tying Cisco’s Silicon One technology to Nvidia’s Ethernet networking platform. The extended agreement is designed to offer customers yet another way to support AI workloads across the data center and strengthens both companies’ strategies to expand the role of Ethernet networking for AI in the enterprise.

    Nvidia forges healthcare partnerships to advance AI-driven genomics, drug discovery

    February 14, 2025: Through new partnerships with industry leaders, Nvidia aims to advance practical use cases for AI in healthcare and life sciences. It’s a logical move: Healthcare has the most significant upside, particularly in patient care, among all the industries applicable to AI. 

    Nvidia partners with cybersecurity vendors for real-time monitoring

    February 12, 2025: Nvidia partnered with leading cybersecurity firms to provide real-time security protection using its accelerator and networking hardware in combination with its AI software. Under the agreement, Nvidia will provide integration of its BlueField and Morpheus hardware with cyber defenses software from Armis, Check Point Software Technologies, CrowdStrike, Deloitte and World Wide Technology .

    Nvidia claims near 50% boost in AI storage speed

    February 7, 2025: Nvidia is touting a near 50% improvement in storage read bandwidth thanks to intelligence in its Spectrum-X Ethernet networking equipment, according to the vendor’s technical blog post. Spectrum-X is a combination of the company’s Spectrum-4 Ethernet switch and BlueField-3 SuperNIC smart networking card, which supports RoCE v2 for remote direct memory access (RDMA) over Converged Ethernet.

    Nvidia unveils preview of DeepSeek-R1 NIM microservice

    February 3, 2025: The chipmaker stock plummeted 17% after Chinese AI developer DeepSeek unveiled its DeepSeek-R1 LLM. Last week, Nvidia announced the DeepSeek-R1 model is now available as a preview Nvidia inference microservice (NIM) on build.nvidia.com.

    Nvidia unveils preview of DeepSeek-R1 NIM microservice

    January 31, 2025: Nvidia stock plummeted 17% after Chinese AI developer, DeepSeek, unveiled its DeepSeek-R1 LLM. Later the same week, the chipmaker turned around and announced the DeepSeek-R1 model is available as a preview Nvidia inference microservice (NIM) on build.nvidia.com.

    Nvidia intros new guardrail microservices for agentic AI

    January 16, 2025: Nvidia added new Nvidia inference microservices (NIMs) for AI guardrails to its Nvidia NeMo Guardrails software tools. The new microservices aim to help enterprises improve accuracy, security, and control of agentic AI applications, addressing a key reservation IT leaders have about adopting the technology.

    Nvidia year in review

    January 10, 2025: Last year was Nvidia’s year. Its command of mindshare and market share was unequaled among tech vendors. Here’s a recap of some of the key Nvidia events of 2024 that highlight just how powerful the world’s most dominant chip player is.

    Nvidia launches blueprints to help jumpstart AI projects

    January 8, 2025: Nvidia recently issued designs for AI factories after hyping up the idea for several months. Now it has come out with AI blueprints, essentially prebuilt templates that give developers a jump start on creating AI systems.

    Nvidia’s Project DIGITS puts AI supercomputing chips on the desktop

    January 6, 2025: Nvidia is readying a tiny desktop device called Project DIGITS, a “personal AI supercomputer” with a lightweight version of the Grace Blackwell platform found in its most powerful servers; it’s aimed at data scientists, researchers, and students who will be able to prototype, tune, and run large genAI models.

    Nvidia unveils generative physical AI platform, agentic AI advances at CES

    January 6, 2025: At CES in Las Vegas, Nvidia trumpeted a slew of AI announcements, with an emphasis on generative physical AI that promises a new revolution in factory and warehouse automation. “AI requires us to build an entirely new computing stack to build AI factories, accelerated computing at data center scale,” Rev Lebaredian, vice president of omniverse and simulation technology at Nvidia.

    Verizon, Nvidia team up for enterprise AI networking

    December 30, 2024: Verizon and Nvidia partnered to build AI services for enterprises that run workloads over Verizon’s 5G private network. The new offering, 5G Private Network with Enterprise AI, will run a range of AI applications and workloads over Verizon’s private 5G network with Mobile Edge Compute (MEC). MEC is a colocated infrastructure that is a part of Verizon’s public wireless network, bringing compute and storage closer to devices and endpoints for ultra-low latency.

    Nvidia’s Run:ai acquisition waved through by EU

    December 20, 2024: Nvidia will face no objections to its plan to acquire Israeli AI orchestration software vendor Run:ai Labs in Europe, after the European Commission gave the deal its approval today. But Nvidia may not be out of the woods yet. Competition authorities in other markets are closely examining the company’s acquisition strategy.

    China launches anti-monopoly probe into Nvidia amid rising US-China chip tensions

    December 10, 2024: China has initiated an investigation into Nvidia over alleged violations of the country’s anti-monopoly laws, signaling a potential escalation in the ongoing tech and trade tensions between Beijing and Washington.

    Nvidia Blackwell chips face serious heating issues

    November 18, 2024: Nvidia’s next-generation Blackwell data center processors have significant problems with overheating when installed in high-capacity server racks, forcing redesigns of the racks themselves, according to a report by The Information. These issues have reportedly led to design changes, meaning delays in shipping product and raising concern that its biggest customers, including Google, Meta, and Microsoft, will be able to deploy Blackwell servers according to their schedules.

    Nvidia to power India’s AI factories with tens of thousands of AI chips

    October 24, 2024: Nvidia plans to deploy thousands of Hopper GPUs in India to create AI factories and collaborate with Reliance Industries to develop AI infrastructure.. Yotta Data Services, Tata Communications, E2E Networks, and Netweb will lead the AI factories — large-scale data centers for producing AI. Nvidia added that the expansion will provide nearly 180 exaflops of computing power.

    Nvidia contributes Blackwell rack design to Open Compute Project

    October 15, 2024: Nvidia contributed to the Open Compute Project its Blackwell GB200 NVL72 electro-mechanical designs – including the rack architecture, compute and switch tray mechanicals, liquid cooling and thermal environment specifications, and Nvidia NVLink cable cartridge volumetrics –.

    As global AI energy usage mounts, Nvidia claims efficiency gains of up to 100,000X

    October 08, 2024: As concerns over AI energy consumption ratchet up, chip maker Nvidia is defending what it calls a steadfast commitment to sustainability. The company reports that its GPUs have experienced a 2,000X reduction in energy use over the last 10 years in training and a 100,000X energy reduction over that same time in generating tokens.

    Accenture forms new Nvidia business group focused on agentic AI adoption

    October 4, 2024: Accenture and Nvidia announced an expanded partnership focused on helping customers rapidly scale AI adoption. Accenture said the new group will use Accenture’s AI Refinery platform — built on the Nvidia AI stack, including Nvidia AI Foundry, Nvidia AI Enterprise, and Nvidia Omniverse — to help clients create a foundation for use of agentic AI.

    IBM expands Nvidia GPU options for cloud customers

    October 1, 2024: IBM expanded access to Nvidia GPUs on IBM Cloud to help enterprise customers advance their AI implementations, including large language model (LLM) training. IBM Cloud users can now access Nvidia H100 Tensor Core GPU instances in virtual private cloud and managed Red Hat OpenShift environments.

    Oracle to offer 131,072 Nvidia Blackwell GPUs via its cloud

    September 12, 2024: Oracle started taking pre-orders for 131,072 Nvidia Blackwell GPUs in the cloud via its Oracle Cloud Infrastructure (OCI) Supercluster to aid large language model (LLM) training and other use cases, the company announced at the CloudWorld 2024 conference.  The launch of an offering that provides these many Blackwell GPUs, also known as Grace Blackwell (GB) 200, is significant as enterprises globally are faced with the unavailability of high-bandwidth memory (HBM) — a key component used in making GPUs.

    Why is the DOJ investigating Nvidia?

    September 11, 2024: After a stock sell-off following its quarterly earnings report, Nvidia’s pain was aggravated by news that the Department of Justice is escalating its investigation into the company for anticompetitive practices. According to a Bloomberg report, the DOJ sent a subpoena to Nvidia as part of a probe into alleged antitrust practices.

    Cisco, HPE, Dell announce support for Nvidia’s pretrained AI workflows

    September 4, 2024: Cisco, HPE, and Dell are using Nvidia’s new AI microservices blueprints to help enterprises streamline the deployment of generative AI applications. Nvidia’s announced its NIM Agent Blueprints, a catalogue of pretrained, customizable AI workflows that are designed to provide a jump-start for developers creating AI applications. NIM Agent Blueprints target a number of use cases, including customer service, virtual screening for computer-aided drug discovery, and a multimodal PDF data extraction workflow for retrieval-augmented generation (RAG) that can ingest vast quantities of data.

    Nvidia reportedly trained AI models on YouTube data

    August 4, 2024: Nvidia scraped huge amounts of data from YouTube to train its AI models, even though neither Youtube nor individual YouTube channels approved the move, according to leaked documents. Among other things, Nvidia reportedly used the YouTube data to train its deep learning model Cosmos, an algorithm for automated driving, a human-like AI avatar, and Omniverse, a tool for building 3D worlds.

    Can Intel’s new chips compete with Nvidia in the AI universe?

    June 9, 2024: Intel is aiming its next-generation X86 processors at AI tasks, even though the chips won’t actually run AI workloads themselves.mAt Computex, Intel announced its Xeon 6 processor line, talking up what it calls Efficient-cores (E-cores) that it said will deliver up to 4.2 times the performance of Xeon 5 processors. The first Xeon 6 CPU is the Sierra Forest version (6700 series) a more performance-oriented line, Granite Rapids with Performance cores (P-cores or 6900 series), will be released next quarter.

    Everyone but Nvidia joins forces for new AI interconnect

    May 30, 2024: A clear sign of Nvidia’s dominance is when Intel and AMD link arms to deliver a competing product. That’s what happened when AMD and Intel – along with Broadcom, Cisco, Google, Hewlett Packard Enterprise, Meta and Microsoft – formed the Ultra Accelerator Link (UALink) Promoter Group to develop high-speed interconnections between AI processors.

    Nvidia to build supercomputer for federal AI research

    May 15, 2024: The U.S. government will use an Nvidia DGX SuperPOD to provide researchers and developers access to much more computing power than they have had in the past to produce generative AI advances in areas such as climate science, healthcare and cybersecurity.

    Nvidia, Google Cloud team to boost AI startups

    April 11, 2024: Alphabet’s Google Cloud unveiled a slew of new products and services at Google Cloud Next 2024, among them a program to help startups and small businesses build generative AI applications and services. The initiative brings together the Nvidia Inception program for startups and the Google for Startups Cloud Program.

    Nvidia GTC 2024 wrap-up: Blackwell not the only big news

    March 29, 2024: Nvidia’s GDC is in our rearview mirror, and there was plenty of news beyond the major announcement of the Blackwell architecture and the massive new DGX systems powered by it. Here’s a rundown of some of the announcements you might have missed.

    Nvidia expands partnership with hyperscalers to boost AI training and development

    March 19, 2024: Nvidia extended its existing partnerships with hyperscalers Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure, and Oracle Cloud Infrastructure, to make available its latest GPUs and foundational large language models and to integrate its software across their platforms.

    Nvidia launches Blackwell GPU architecture

    March 18, 2024: Nvidia kicked off its GTC 2024 conference with the formal launch of Blackwell, its next-generation GPU architecture due at the end of the year. Blackwell uses a chiplet design, to a point. Whereas AMD’s designs have several chiplets, Blackwell has two very large dies that are tied together as one GPU with a high-speed interlink that operates at 10 terabytes per second, according to Ian Buck, vice president of HPC at Nvidia.

    Cisco, Nvidia target secure AI with expanded partnership

    February 9, 2024: Cisco and Nvidia expanded their partnership to offer integrated software and networking hardware that promises to help customers more easily spin up infrastructure to support AI applications. The agreement deepens both companies’ strategy to expand the role of Ethernet networking for AI workloads in the enterprise. It also gives both companies access to each other’s sales and support systems.

    Nvidia and Equinix partner for AI data center infrastructure

    January 9, 2024: Nvidia partnered with data center giant Equinix to offer what the vendors are calling Equinix Private AI with Nvidia DGX, a turnkey solution for companies that are looking to get into the generative AI game but lack the data center infrastructure and expertise to do it.

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  • Simulating Complex Coronal Mass Ejections Shows A Weakness In Space Weather Forecasting

    Simulating Complex Coronal Mass Ejections Shows A Weakness In Space Weather Forecasting

    Artist's rendering of SWIFT. Credit - Steve Alvey, University of Michigan

    Avoiding, or at least limiting the damage from, geomagnetic storms is one of the most compelling arguments for why we should pay attention to space. Strong solar storms can have an impact on everything from air traffic to farming, and we ignore them at our own peril and cost. Despite that threat, the tools that we have applied to tracking and analyzing them have been relatively primitive. Both simulations and the physical hardware devoted to it require an upgrade if we are to accurately assess the threat a solar storm poses. As a first step, a new paper from a group led by researchers at the University of Michigan created a much more detailed simulation that shows how important it is that we also have the appropriate sensing hardware in place to detect these storms as they happen.

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  • Why Signal’s post-quantum makeover is an amazing engineering achievement

    Why Signal’s post-quantum makeover is an amazing engineering achievement

    The encryption protecting communications against criminal and nation-state snooping is under threat. As private industry and governments get closer to building useful quantum computers, the algorithms protecting Bitcoin wallets, encrypted web visits, and other sensitive secrets will be useless. No one doubts the day will come, but as the now-common joke in cryptography circles observes, experts have been forecasting this cryptocalypse will arrive in the next 15 to 30 years for the past 30 years.

    The uncertainty has created something of an existential dilemma: Should network architects spend the billions of dollars required to wean themselves off quantum-vulnerable algorithms now, or should they prioritize their limited security budgets fighting more immediate threats such as ransomware and espionage attacks? Given the expense and no clear deadline, it’s little wonder that less than half of all TLS connections made inside the Cloudflare network and only 18 percent of Fortune 500 networks support quantum-resistant TLS connections. It’s all but certain that many fewer organizations still are supporting quantum-ready encryption in less prominent protocols.

    Triumph of the cypherpunks

    One exception to the industry-wide lethargy is the engineering team that designs the Signal Protocol, the open source engine that powers the world’s most robust and resilient form of end-to-end encryption for multiple private chat apps, most notably the Signal Messenger. Eleven days ago, the nonprofit entity that develops the protocol, Signal Messenger LLC, published a 5,900-word write-up describing its latest updates that bring Signal a significant step toward being fully quantum-resistant.

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    Native Americans Had Their Own Tales to Tell About Space Aliens — and Here's a New One

    Pictures carved into Utah sandstone call to mind the "Sky People" of ancient legends. (Courtesy of the Utah Geological Survey / Mark Milligan)

    In a newly published novel titled “Hole in the Sky,” Cherokee science-fiction author Daniel H. Wilson blends Native American tales about alien civilizations with up-to-date speculation about UFOs, now also known as unidentified anomalous phenomena or UAPs.

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