AmiMoJo shares a report from heise online: Anyone buying used hardware for a gaming PC needs to be careful: not just whether the components are still in order but also what the previous owner did with them. A case on Reddit shows this. Someone installed a used AMD processor, a Ryzen 7 5800X3D, in their PC. Because the previous owner was caught cheating, the new owner cannot start several online games.

The problem was noticed in the first-person shooter "Valorant" from the development studio Riot. Right from the first start, the new owner was kicked out directly, according to their statement. Riot support confirmed that the previous owner had cheated. The processor is therefore on an internal blacklist -- and, with its installation in the PC, now apparently also some other components like the mainboard. Riot support does not remove such entries manually.

In addition to "Valorant," all other PC games from Riot are affected: the strategy game "League of Legends," the auto-battler "Teamfight Tactics," the card game "Legends of Runeterra," the fighting game "2XKO," and likely future titles as well. Riot's "Vanguard" anti-cheat system traditionally runs deep in the Windows kernel and starts with the PC, but a June 2026 update allows it to launch with a game if security features such as TPM and Secure Boot are enabled.

It's unclear how Riot uniquely identifies processors, though possibilities include hardware fingerprinting based on chip behavior or storing identification hashes in the Trusted Platform Module (TPM), which Vanguard accesses in the newer mode.

AMD has agreed to acquire Fei-Fei Li's World Labs for about $8.2 billion in stock, making it the chipmaker's second-largest acquisition and giving it a major foothold in "world models" that simulate 3D environments for robotics and other physically grounded AI. CNBC reports: AI researchers expect world models will be able to help develop robots and other physically-grounded artificial intelligence applications. AMD plans to keep World Labs separate from its chipmaking business until the transaction closes later this year. The lab's research on next-generation models will allow AMD to plan for what its AI chips need to be capable of years in advance.

World Labs was founded by AI researcher Fei-Fei Li, who is widely seen as an AI pioneer as a Stanford professor, and who previously worked for Google leading AI research. Li will become an AMD's chief scientist and an executive vice president at the company.

In a demo presented by Li and AMD CEO Lisa Su earlier this year, the two executives showed a World Labs model called Marble creating a three-dimensional scene out of a few images. "Intelligent agents, whether it's robots or vehicles or even tools, can learn inside very-rich physics-aware digital worlds before they even need to be deployed into the real one, making them much safer," Li said at the presentation.

Phoronix reports: AMD is building out what they are describing as an "elite" team of developers for driving Rust code "deep into the GPU stack" from firmware to drivers, shader compilers, and other GPU software in Rust. AMD Senior Fellow Harsh Meno posted this week to LinkedIn about this new effort...

And note this AMD job posting that's active for hiring a software development engineer to work on Rust code...

"We are building next-generation systems software for AMD GPUs with Rust as a core technical direction. The work spans compilers, runtimes, low-level GPU software, firmware, developer tooling, and methods for improving the safety and correctness of complex hardware-software systems.

"Rust is not incidental to this role. You will help establish how Rust is used in performance-sensitive and high-trust parts of the GPU stack, including the compiler and tooling support, system interfaces, engineering practices, and validation methods required for production deployment. You will have the opportunity to influence both near-term implementations and the longer-term architecture for using Rust across current and future AMD platforms."
"AMD also isn't alone," the article points out, "as NVIDIA has also been pursuing similar Rust-based initiatives for their GPU software too, including the development of the Nova Linux kernel driver written in Rust."

TIME's 2026 list of the 100 most influential people in AI omits Nvidia CEO Jensen Huang and AMD CEO Lisa Su, despite both having appeared on previous editions and playing central roles in the hardware powering the AI boom. Nvidia's only representative this year is sustainability chief Josh Parker, while the list includes figures such as Ben Affleck and Paris Hilton alongside major tech executives and policymakers. Tom's Hardware reports: Broadcom CEO Hock Tan, Micron CEO Sanjay Mehrotra, SMIC co-CEO Liang Mong Song, and Huawei HiSilicon president He Tingbo all appear on the 2026 list, joined by Cerebras' Andrew Feldman, CoreWeave's Michael Intrator, and Nscale's Josh Payne. Together, the roster includes Nvidia's HBM supplier, two of its biggest GPU cloud customers, its custom-accelerator rivals, and China, which is trying -- and so far struggling -- to replace Nvidia altogether.

Parker's profile, which appears under the Thinkers category, focuses on data center energy and water consumption, alongside Nvidia's tripling of Scope 3 emissions in two years, and the Rubin platform's shift to 100% liquid cooling. "Nvidia is at the center of the AI revolution," Parker told TIME.

TIME editor-in-chief Sam Jacobs wrote in the list's accompanying article that selection was led by editor Ayesha Javed, and that the 100 honorees represent the year's "key storylines and who, in our opinion, are having the most influence in driving these developments." Now in its fourth year, this edition of the TIME100 AI appears to have focused especially on featuring the new additions to TIME's community of AI leaders, with Mark Zuckerberg, Demis Hassabis, Sundar Pichai, and Satya Nadella representing four other honorees, arguably deserving of a space on this year's list, churned out.

Su's strong TIME back catalog makes her omission all the stranger still. The magazine named her its 2024 CEO of the Year, put her on the 2024 AI list and the main TIME100 in 2025, and included her among December's Architects of AI.

3,346 backers pledged $1,198,844 on Kickstarter to build the (modular) handheld Linux computer, the Mecha Comet. It's slightly bigger and heavier than your smartphone, with a 4-inch AMOLED display and loaded up with things like microphones, speakers, a SIM tray, two USB ports and a mini HDMI port. There's three separate kill switches for wifi, microphone and camera — plus a "boot mode" switch for the SD card, and even three pins for instant access to its debug console.

It's now expected to ship in October or November (and is still available for preorder).

Snap-in extensions include a keyboard (with programmable colors for its backlit keys), a gamepad, and a special IO Breakout that exposes the 40 pogo pins for modules, sensors, and MCUs. They're all open hardware, and founder Shoaib Merchant says "I'm looking forward to more community designs over the upcoming months." He shows the screen in action in a video on Kickstarter, demonstrating native apps like Music, Notes, Settings, and Files — as well as a Terminal app running on its color screen.

A Linux correspondent at How-To Geek notes its ships "with a custom, hardware-optimized Linux distro out of the box," so "it's like having a dedicated Linux terminal in your pocket." And they argue the new device "could be the future of Linux smartphones." I should also mention that you don't necessarily have to use the battery; it can power on over USB PD without one. Overall, you're getting the same I/O you'd expect from a computer in a smartphone-like form factor, complete with modular input devices — and it's running Linux under the hood. For me, that's the most innovative gadget I've seen in the Linux hardware space in a long time...

It's powerful enough to run most Linux terminal apps, which opens up a lot of possibilities. You're also getting an NPU built right into the SoC, which opens up the possibility for on-device AI workflows — something not possible in budget smartphones. Now, I personally plan to use it for SSHing into my main computer and home lab and operating them remotely. That's also why I'll be putting the LTE modem in the M.2 slot rather than an SSD — mobile data means I can reach my machines even when there's no Wi-Fi around.

I also showed it to my partner, and she sees this as the ideal minimalist phone for digital detoxing. There's a built-in media player, a basic notes app, and you can even run Spotify from the terminal if you want.

Linux Kernel 7.2 has just been officially released with a slew of new features, reports the blog 9to5Linux.

Highlights of Linux 7.2 "include cache-aware load-balancing support, initial HDMI 2.1 FRL support to the AMDGPU driver, support for devres-based management of ACPI notify handlers, initial CRI platform support for the Intel Xe driver, and Rust support for the IBM System/390 (S/390) architecture." Linux kernel 7.2 also introduces a "Fair(er)" GPU scheduler, support for the 'zerocopy' library to Rust support to make zero-cost memory manipulation effortless, new hwcaps for the 2025 dpISA extensions on the AArch64 (ARM64) architecture, and enables large folios by default for the Btrfs file system.

It also brings Intel CPU model number support for Panther Lake R processor series, improvements to the kernel's swap subsystem, support for multi-size transparent huge pages (mTHPs) to the khugepaged kernel thread, and support for compressed files to the SMB filesystem.

On top of that, Linux 7.2 improves the new NTFS filesystem introduced in Linux kernel 7.1, adds devicetree updates for 64-bit NXP/Freescale and Qualcomm platforms, introduces MPTCP signaling support for IPv6 addresses, adds GRO/GSO support for PPPoE, and brings more SMP load-balancing updates... [T]he TCP authentication option has been implemented, and there are also some Thunderbolt networking improvements.

Also worth mentioning is that the KVM subsystem has received support for AMD's "guest-mode execution trap" and Intel's "mode-based execution control" (MBEC) features, the NFS file system's default block size was bumped to 4MB on systems with at least 16GB RAM, and support for the Intel Trusted Domain Extensions (TDX) feature has been added.
Thanks to Slashdot reader prisoninmate for bring the news.

Valve is continuing to broaden SteamOS support beyond its own hardware, with the latest beta adding "initial gamepad support" for a few recent gaming handhelds and improving compatibility for a few others. Ars Technica reports: Those newly supported handhelds include MSI's Claw 8 EX AI+, the extremely expensive, extremely powerful handheld built around Intel's Arc G3 processor that launched this summer. While SteamOS has long included beta support for "other AMD powered handhelds," Valve has only recently been working on offering compatibility with Intel-based handhelds like the MSI Claw line. This weekend's update suggests the company hasn't abandoned those efforts and that Intel chips aren't being left out of the SteamOS conversation.

SteamOS 3.8.25 also newly supports the controllers built into Ayaneo's Android-focused Pocket S2 and the more recently released Windows-based Konkr Fit. Valve also says the new OS offers "improved support" for older MSI Claw devices and the OneXPlayer line of portable gaming PCs. This weekend's update follows June's SteamOS 3.8 update, which stressed "improved compatibility with recent Intel and AMD platforms." That update specifically called out improved controller support on handhelds from the likes of GPD Win, Anbernic, and OrangePi, as well as improvements for various Lenovo Legion Go, MSI Claw, and OneXPlayer devices. The report notes that the new SteamOS update also updates the Linux driver powering the new Steam Controller, "allowing it to work with 'native controller applications' even when Steam is not running."

An anonymous reader quotes a report from CNBC: On Thursday, AMD said it's entered into an agreement to acquire Taalas, a Toronto-based startup that makes chips for inference. Taalas' accelerators are customized, or hard-wired for a single AI model, rather than being general purpose. In exchange for that loss of flexibility, Taalas' technology promises a less-expensive chip that it says can produce output for specific models thousands of times faster than a traditional GPU. An AMD representative declined to provide a purchase price for the transaction. Taalas has raised a total of $219 million in venture funding since its 2023 founding.

Taalas' current chip runs a small version of Meta's Llama 3.1 model, though the company is working on chips for bigger and more advanced models. It's manufactured using an older Taiwan Semiconductor Manufacturing Co. process, and uses speedy SRAM memory on the chip itself. Taalas CEO Ljubisa Bajic says on the startup's website that the company "developed a platform for transforming any AI model into custom silicon." "From the moment a previously unseen model is received, it can be realized in hardware in only two months," Bajic wrote.

Valve is funding Collabora's experimental effort to port the open-source RADV Vulkan driver from Linux to Windows. The team has already demonstrated Counter-Strike 2 running with RADV, but a stable interface or compatibility shim will be needed to handle undocumented driver changes. Phoronix reports: Louis-Francis Ratte-Boulianne put out a blog post highlighting their initial work on porting RADV to Windows. Besides working on Windows WDDM2 integration for Windows, a big challenge with porting RADV to Windows is on relying on the AMD Radeon Software Windows kernel driver.

It's out-of-scope of this current work for trying to port the AMDGPU Linux kernel graphics driver to Windows, so they are working on bringing RADV to Windows while relying on AMD's official Windows kernel driver. That in turn has led to reverse engineering and other steps for figuring out the proprietary kernel driver's data structures and other elements so RADV can be adapted to use it.

Last week, AMD was found to have stripped memory encryption from its consumer CPUs without any warning or notice. Now, following a wave of backlash on social media, the chipmaker has now reinstated the protection, though it still hasn't explained why the safeguard was disabled in the first place. Ars Technica reports: Following the revelation, social media was deluged by comments from AMD consumers decrying the move. They noted that AMD's quiet removal of TSME after supporting it for so long seemed underhanded. The move came solely as a result of firmware changes made in a recent update. With no physical changes required to silicon, continued support was largely, if not purely, a matter of will rather than a necessity required by changes to hardware. The critics called on AMD to reverse the move.

Over the weekend, AMD said it planned to do just that in a firmware update scheduled for release next month. More often than not, the chipmaker refers to TSME as Memory Guard. "Regarding certain non-PRO Ryzen 9000-series desktop processors, a BIOS option to enable Memory Guard was previously available but was removed in a recent update," AMD said in an email. "Based on valuable community feedback, we will reinstate this option in an upcoming BIOS release in July."

The company has yet to explain why it removed the protection. Critics speculate that AMD dropped it in an attempt to steer customers toward more costly CPUs. It's possible, though, that there were less nefarious reasons, such as the difficulty of continued support as chip designs changed. Another possibility is that AMD made the move for performance reasons. Encrypting and decrypting data in memory creates latency. Slowdowns are the enemy of gamers, one of the more popular customer segments using the 9000-line of Ryzen processors. Since many gamers already voluntarily disabled TSME and had little need for it in the first place, AMD may not have considered the change of much consequence.

With the price of the new Steam Machine starting at $1,049, you might want to consider making your own Steam Machine instead. An anonymous reader quotes a report from The Verge: Valve says that "starting with the SteamOS 3.8 release, you can put together your own Steam Machine using whatever PC parts you want." SteamOS 3.8.10 launched last week with a slew of updates, including "improved compatibility with recent Intel and AMD platforms." Alongside that improved compatibility, Valve is giving gamers the green light to install SteamOS on their own desktops. In an interview with The Verge, Valve's Pierre-Loup Griffais said Valve has been "rolling out improvements to [SteamOS] so it's more compatible with desktop hardware," including eventual support for Nvidia graphics. Griffais says Valve has "a growing team" working on Nvidia driver support for SteamOS, adding, "We're collaborating with Nvidia very closely." While he mentioned that Nvidia support might not come this year, Griffais emphasized that "it's certainly something that we're working on in the background."

It's technically been possible to run SteamOS on your own hardware for a while now, but compatibility has been mostly limited to AMD systems. So far installing it has also required using a Steam Deck recovery image, a process that, speaking from experience, is much less straightforward than the installation process for most other Linux distributions. Trying to run SteamOS on Intel or Nvidia hardware has not been easy so far. According to Griffais, Valve is working to change that, which could mean that down the line, you'll be able to run SteamOS on just about any gaming PC hardware you want, including Nvidia.

For the more immediate future, Griffais says SteamOS in its current state should offer a "good experience" on console-like PC setups: "If you have something that is similar to the use case of a Steam Machine, where you have a PC that's gonna be plugged into a TV, and has a single hard drive that you're not going to try and dual boot [] you can put SteamOS on there, and you'll have an experience that is very similar to a Steam Deck docked or a Steam Machine, with some caveats, of course," like a lack of HDMI-CEC support. But "the core bits of the experience are there. The SteamOS graphics driver, the shader precompilation [...] you can get at all of that with the SteamOS." Griffais says SteamOS does not yet offer an easy way to dual-boot alongside Windows or another operating system, but envisions "a time where it's a better experience to install on your desktop and have it coexist with a different operating system."

An anonymous reader quotes a report from Ars Technica: Hewlett Packard Enterprise's (HPE) new virtualization software promotion will likely pique the interest of end users and resellers who are unhappy with Broadcom's pricing of VMware. During its HPE Discover event in Las Vegas this week, HPE announced that customers could use its "HPE Morpheus Software -- VM Essentials" offering for free for "up to one year," per a press release. HPE's website describes its virtualization platform as a "VMware alternative." It includes a hardware virtual machine (HVM) hypervisor and unified management and lets users "manage VMware ESXi and HVM clusters from one console and migrate when you're ready," HPE's website says. "New VM Essentials customers can receive up to one free year of licenses for VM Essentials, a year of HPE Zerto for $1 to support non-disruptive migration to HPE virtual machines, and 0 percent interest on software through HPE Financial Services," HPE's announcement reads, referring to HPE's group for helping IT teams manage funding.

Free for a year is cheaper than what Broadcom has charged for VMware vSphere since taking over. VMware prices have skyrocketed due to VMware's parent company eliminating perpetual licenses and bundling products into expensive packages. Notably, per its website, HPE recommends charging $600 per CPU socket per year for VM Essentials; Broadcom has controversially shifted vSphere licensing pricing to a per-core basis. "Customers are feeling quite a bit of pain in the change that some of the virtualization companies have put there, specifically Broadcom," Jeremiah Jenson, VP of HPE's North American channel and partner ecosystem, told CRN. The executive claimed that VM Essentials could bring up to 90 percent cost savings compared to VMware while also helping to "eliminate vendor lock-in and simplify hybrid IT."

From March 1 to June 30, HPE has also been offering a free year of VM Essentials via rebate to customers who buy an AMD server and a one-year VM Essentials license. VM Essentials is only available through channel partners, a stark contrast from Broadcom's VMware approach, where the chip giant has drastically reduced the number of resellers that can sell VMware products. HPE's new promotion aims to entice customers to more deeply consider migrating off VMware. [...] HPE also announced that it would give 600 reseller partners who earn the HPE partner program's Private Cloud with Virtualization competency by the end of the year free VM Essentials software licenses for three years. Partners still have to pay support costs, though. The benefit is "a step in the correct direction," said Dean Colpitts, CTO of Canadian managed services provider (MSP) Members IT Group (MITG), which VMware cut from its reseller program after 19 years of partnership a year ago. However, limiting the promotion to 600 partners is "very shortsighted." He believes that HPE should give all of its partners VM Essentials "to facilitate getting [VM Essentials] into customer sites and displacing the competitors."

"They need to fling [VM Essentials] as far and as fast as they possibly [can] to immediately gain traction and draw ISVs to them, which will increase adoption even more," he said.

An anonymous reader quotes a report from Ars Technica: A decade ago, AMD added a protection to its high-end CPUs to protect them against cold boot attacks and other types of physical exploits that siphon sensitive data out of the connected memory chips. Short for Transparent Secure Memory Encryption, TSME encrypts the entire contents stored in memory, making the data useless to physical attackers. Over time, AMD added TSME to lower-end processors, including the consumer version of its Ryzen chips, a CPU that costs less than the Pro version. Over the years, users of these lower-end chips have gotten used to the added security. Recently and without warning or notice, this lower-end line of AMD chips suddenly dropped the protection, and did so in a way that was impossible to detect on Windows machines and required a fair amount of technical work when using Linux.

AMD has yet to say why TSME worked on these CPUs, or even to confirm the change. AMD declined to answer questions sent by email other than to say TSME "is a security feature only applied to PRO CPUs as part of AMD PRO Technologies." The statement is the first known time the chipmaker has explicitly made this restriction public. [...] There's no indication that AMD ever advertised or marketed TSME as being available in consumer CPUs. AMD has long said that a related memory protection, Secure Memory Encryption (SME), is available only in the Pro and Epyc CPU tiers. SME is OS-managed. It uses a single key and allows the OS to selectively encrypt individual memory pages. TSME is firmware-managed. It encrypts all RAM with no OS involvement. When active, it provides protection against physical attacks, including cold boot exploits, DRAM interface snooping, and memory module removal. It activates silently when enabled in the BIOS, making it the more practically useful of the two protections. Ben Kilpatrick, a self-described "privacy-conscious Linux hobbyist," discovered that TSME had stopped working on his consumer Ryzen processor despite remaining enabled in the BIOS. He spent months investigating, persuaded MSI engineers to test multiple CPUs, motherboards, and firmware versions, and filed a public AMD bug report that traced the change to newer AGESA firmware apparently disabling TSME on consumer chips while retaining it on Pro and EPYC models.

"AMD engineers' comments, such as those mentioned above, and the years of TSME working just fine in the lower-cost tier processors, have understandably conditioned Kilpatrick and other users to reasonably regard it as an expected part of the chip package," reports Ars Technica. "AMD quietly removing it and providing no acknowledgment or explanation strikes these users as something of a betrayal."

Joe Fitzgerald, an expert in silicon-level security, said in an interview: "They could have not realized they did it leading to their cagey responses, or they could have done it intentionally and tried to get away with it, leading to the same cagey responses. But I really feel like an explanation should be in order, even if it was 'TSME was never supposed to be supported. We did ship some firmwares that erroneously enabled it, but you shouldn't use them since we can't guarantee it'll work properly.'"

Phoronix reports: The AMD R600 Gallium3D driver saw 59 commits [last] Sunday to Mesa 26.2. Making this code restructuring and code cleaning all the more notable is that the improvements to this old AMD Radeon graphics driver was done in part by GitHub Copilot.

Gert Wollny has been among the few open-source developers left working on the AMD R600g driver that covers from the Radeon HD 2000 series through Radeon HD 6000 series graphics cards... [T]he old open-source GPU driver support is being assisted by AI long after the upstream vendor has stopped working on this driver — the Radeon HD 2000 "R600" series launched in 2007.

"The company best known for powering the AI boom is coming for the PC," reports Axios.

Nvidia's CEO unveiled a new ARM-based "N1X processor made alongside Microsoft," reports CNBC, that "will be incorporated into a new RTX Spark superchip, debuting in the fall on a fresh line of Windows PCs from Microsoft, Dell, HP, ASUS, Lenovo and MSI."

More details from Engadget: It was only a matter of time before NVIDIA released a powerful system-on-a-chip (SOC) to take on AMD's Ryzen AI Max and Qualcomm's latest Snapdragon X2 chips. At Computex today, NVIDIA unveiled the RTX Spark, a "superchip" meant to give both laptops and small desktops fast AI and graphics performance...

The company says it offers 1 petaflop of AI computing power, and that it has 6,144 Blackwell RTX cores and 20 Mediatek Arm CPU cores. NVIDIA claims it's similar to the RTX 5070 laptop GPU but with much lower power draw. RTX Spark also has an NPU that's fast enough to be part of Microsoft's Copilot+ initiative, which requires a 40 TOPS NPU, but NVIDIA says it's mainly touting the tensor cores as part of the chip's Blackwell GPU for AI performance. RTX Spark's GPU can directly draw on the chip's large pool of unified memory, which can span from 16GB to 128GB, and the chip itself can use anywhere from single-digit wattage up to 80W...

NVIDIA CEO Jensen Huang positions RTX Spark as a complete reinvention of the PC, eventually turning them more into devices meant for AI agents than manual human input... NVIDIA has been working together with Microsoft for "several years" while designing the RTX Spark, according to NVIDIA representatives... In a blog post provided to media, Microsoft head of Windows and devices, Pavan Davuluri, noted that the company optimized Windows 11's workload profile scheduling for the RTX Spark. "Whether you're checking your email or running an agent locally to debug code, the Windows scheduler on RTX Spark will ensure you get the best performance and efficiency out of your CPU," he wrote.

Long-time Slashdot reader Sun writes: AMD has announced a change to the way they are licensing Vivado, their FPGA development tool... Hidden between the lines of the announcement [of a new model starting with the 2026.1 release] is the change to the free of charge tier. AMD is adding more devices to be supported in this tier, which is supposedly the carrot. The stick, however, is the removal of certain debug features.

The thing that's likely to hit the hobbist community the worst, however, is that the free tier will now not be available on Linux.

AMD are saying that old licenses are still in effect, so it appears that if you hurry to install Vivado now, you'd still be able to use it moving forward. It is not clear, however, whether it'll still be possible to install Vivado 2025.2 after Vivado 2026.1 becomes available.
"Almost all our surveys show... close to 70% of the customers are still using Windows," explained AMD senior product application engineer Anatoli Curran on the tool's support forum. "Vivado ML Standard Edition v2025.2 is going to be officially supported (I mean if there are any bugs found, these can be fixed) until v2026.3 release... Any release older than the current 3 released versions of Vivado then becomes unsupported (meaning no bugs will be fixed with Vivado Standard Edition v2025.2 after Vivado v2026.3).

"However, users can continue using V2025.2 forever, if they wish to do so... Also, Vivado ML Standard Edition v2025.2 is license-free... Users only need to obtain and use any IP Core related licenses, or Vivado Model Composer (for SysGen)."

The blog It's FOSS has an update on the Fedora AI Developer Desktop Initiative, a proposed platform for AI/machine learning workloads on Fedora. It's now been blocked "after two Fedora Council members retracted their earlier approval votes." The initiative was proposed by Red Hat engineer Gordon Messmer, aiming to deliver an Atomic Desktop with accelerated AI workload support, covering developer tools, hardware enablement, and building a community around AI on Fedora... At the May 6 council meeting, the members unanimously voted to approve this new initiative. After which a short, lazy consensus window was left open until May 8 to accommodate absent members, after which the decision was to be ratified.

But that last bit never happened, as council member Justin Wheeler (Jflory7) was the first person to change their vote to -1... ["While I strongly support leveraging AI to establish Fedora as a leading platform, completely rearchitecting our kernel strategy is a massive structural shift. It requires explicit alignment with our legal and engineering stakeholders before we commit the project to this path."] Following that, fellow council member Miro HronÄok (churchyard) put in his -1, saying that he had originally assumed the proposal was purely additive and therefore uncontroversial. But seeing the community's response, he realized that he was mistaken about that. As an elected representative, he felt the need to reflect on this major proposal before signing it off.

Over 180 replies have piled up in the proposal's discussion thread, with many well-known Fedora contributors pushing back on things like kernel policy, proprietary software, and project identity. Hans de Goede from the packaging team called out the proposal's emphasis on CUDA support as going against Fedora's foundational commitment to free software, arguing that open alternatives like AMD's ROCm and Intel's oneAPI should be the focus instead.

BrianFagioli writes: Kioxia and Dell Technologies say they have built a 2U server configuration capable of scaling to 9.8PB of flash storage, which is the sort of density that would have sounded impossible just a few years ago. The setup combines a Dell PowerEdge R7725xd Server with 40 Kioxia LC9 Series 245.76TB NVMe SSDs and AMD EPYC processors. According to Kioxia, matching the same capacity with more common 30.72TB SSDs would require seven additional servers and another 280 drives.

The companies are pitching the hardware squarely at AI and hyperscale workloads, where storage is rapidly becoming a bottleneck alongside compute. Kioxia claims the denser configuration can dramatically reduce power consumption and rack space requirements while remaining air cooled. The announcement also highlights how quickly enterprise storage capacities are escalating as organizations race to support larger AI models, massive datasets, and increasingly demanding data pipelines.

AMD says FSR 4.1 will finally bring its newer hardware-accelerated upscaling technology to older Radeon GPUs. "The rollout will begin in July with RDNA3- and 3.5-based GPUs, which include the Radeon RX 7000 series, as well as integrated GPUs like the Radeon 890M and Radeon 8060S," reports Ars Technica. "In 'early 2027,' support will also be extended to the RDNA2 architecture, which includes the Radeon RX 6000 series, integrated GPUs like the Radeon 680M, and the Steam Deck's GPU. This would also open the door to supporting FSR 4 on the PlayStation 5 and Xbox Series X and S, all of which also use RDNA2-based GPUs." From the report: [AMD Computing and Graphics SVP Jack Huynh's] short video presentation didn't get into performance comparisons, but did mention that AMD had to work to get FSR 4's superior hardware-backed upscaling working on its older graphics architectures. RDNA4 includes AI accelerators that support the FP8 data format in the hardware, and porting FSR 4 to older GPUs meant getting it running on the integer-based INT8 hardware in the RDNA3 and RDNA2-based GPUs.

This may mean that FSR 4.1 running on an RDNA3 or RDNA2-based GPU may come with a larger performance hit relative to RDNA4 cards, or that image quality may differ slightly. Modders have already worked to get FSR4 working on INT8-supporting GPUs, and the older GPUs reportedly see a 10 to 20 percent performance hit relative to FSR 3.1 running on the same hardware. AMD's official implementation may or may not improve on these numbers.

[...] Any games that support FSR 4 should be able to support FSR 4.1 running on Radeon 7000-series cards; users will presumably be able to install a driver update in July that enables the new feature. Games that support the older FSR 3.1 can also be forced to use FSR 4 in the Radeon graphics driver.

Nvidia's real AI moat isn't "a piece of hardware," writes Wired's Sheon Han. It's CUDA: a mature, deeply optimized software ecosystem that keeps machine-learning workloads tied to Nvidia GPUs. An anonymous reader quotes a report from Wired: What sounds like a chemical compound banned by the FDA may be the one true moat in AI. CUDA technically stands for Compute Unified Device Architecture, but much like laser or scuba, no one bothers to expand the acronym; we just say "KOO-duh." So what is this all-important treasure good for? If forced to give a one-word answer: parallelization. Here's a simple example. Let's say we task a machine with filling out a 9x9 multiplication table. Using a computer with a single core, all 81 operations are executed dutifully one by one. But a GPU with nine cores can assign tasks so that each core takes a different column -- one from 1x1 to 1x9, another from 2x1 to 2x9, and so on -- for a ninefold speed gain. Modern GPUs can be even cleverer. For example, if programmed to recognize commutativity -- 7x9 = 9x7 -- they can avoid duplicate work, reducing 81 operations to 45, nearly halving the workload. When a single training run costs a hundred million dollars, every optimization counts.

Nvidia's GPUs were originally built to render graphics for video games. In the early 2000s, a Stanford PhD student named Ian Buck, who first got into GPUs as a gamer, realized their architecture could be repurposed for general high-performance computing. He created a programming language called Brook, was hired by Nvidia, and, with John Nickolls, led the development of CUDA. If AI ushers in the age of a permanent white-collar underclass and autonomous weapons, just know that it would all be because someone somewhere playing Doom thought a demon's scrotum should jiggle at 60 frames per second. CUDA is not a programming language in itself but a "platform." I use that weasel word because, not unlike how The New York Times is a newspaper that's also a gaming company, CUDA has, over the years, become a nested bundle of software libraries for AI. Each function shaves nanoseconds off single mathematical operations -- added up, they make GPUs, in industry parlance, go brrr.

A modern graphics card is not just a circuit board crammed with chips and memory and fans. It's an elaborate confection of cache hierarchies and specialized units called "tensor cores" and "streaming multiprocessors." In that sense, what chip companies sell is like a professional kitchen, and more cores are akin to more grilling stations. But even a kitchen with 30 grilling stations won't run any faster without a capable head chef deftly assigning tasks -- as CUDA does for GPU cores. To extend the metaphor, hand-tuned CUDA libraries optimized for one matrix operation are the equivalent of kitchen tools designed for a single job and nothing more -- a cherry pitter, a shrimp deveiner -- which are indulgences for home cooks but not if you have 10,000 shrimp guts to yank out. Which brings us back to DeepSeek. Its engineers went below this already deep layer of abstraction to work directly in PTX, a kind of assembly language for Nvidia GPUs. Let's say the task is peeling garlic. An unoptimized GPU would go: "Peel the skin with your fingernails." CUDA can instruct: "Smash the clove with the flat of a knife." PTX lets you dictate every sub-instruction: "Lift the blade 2.35 inches above the cutting board, make it parallel to the clove's equator, and strike downward with your palm at a force of 36.2 newtons." "You can begin to see why CUDA is so valuable to Nvidia -- and so hard for anyone else to touch," writes Han. "Tuning GPU performance is a gnarly problem. You can't just conscript some tender-footed undergrad on Market Street, hand them a Claude Max plan, and expect them to hack GPU kernels. Writing at this level is a grindsome enterprise -- unless you're a cracker-jack programmer at DeepSeek..."

Han goes on to argue that rivals like AMD and Intel offer competitive specs on paper, but their software stacks have struggled with bugs, compatibility issues, and weak adoption. As a result, Nvidia has built an Apple-like moat around AI computing, leaving the industry dependent on its expensive hardware.