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144 articles
If Nvidia and Microsoftâs teasers are more than synchronized marketing, Windows laptops built around Nvidia Arm silicon could become Computex 2026âs most important PC test.
Groqâs reported $650 million raise is not just another funding story, but a sign that AI infrastructure is increasingly being fought at the inference layer.
With Nsight Copilot for VS Code, NVIDIA is showing that AI help for CUDA development is moving away from generic chat and into a local, NVIDIA-specific workflow.
AMD has released ROCm 7.2.4 as a stable update to its open compute stack, focused on performance and stability fixes for AMD GPU users.
Pope Leo XIV may not be able to disarm artificial intelligence, but the fact that Anthropic and the wider industry are listening shows where the rules fight now sits.
Helldivers 2 now has a performance-focused patch, but the real story is not just the upscaler list; it is how consistently those gains land outside ideal configurations.
Xcena has raised $135 million around a blunt hardware thesis: AI is no longer constrained only by compute, but by how fast systems can move data through memory.
Microsoftâs warning shows cryptojacking moving into the places users often trust as shortcuts: search results and AI assistant recommendations.
Nouveau in Linux 7.2 is finally adding NVIDIA GA100 support, the kind of kernel change that arrives quietly but matters to the open graphics stack.
Silicon Motionâs SM2524XT targets a practical problem in new AI PCs: how to bring PCIe Gen5 SSD speed into thin, cost-sensitive systems without a separate DRAM package on the drive.
Google and Canonical are moving Ubuntu images for TPU VMs into a certified lane, a less spectacular but very practical shift for teams training and serving AI models on Linux.
A 50-server seizure shows how AI infrastructure has become a target for customs enforcement, security policy and corporate compliance.
Intel is putting the Arc name where handheld gaming is actually expanding now: inside processors for portable devices, not only on discrete graphics cards.
General Computeâs bet on SambaNova is not just another investment footnote; it signals that the AI compute market may still have room beyond the most obvious winners.
Twenty-four years after the first R300 hardware, Mesa still is not letting the old Radeon driver disappear into the archive.
KRAID is not a loud hardware announcement, but an infrastructure move that could shape how maintainable the open Arm Mali graphics stack becomes on newer Valhall hardware.
ASRockâs BC-250, an odd remnant of the crypto-hardware era, has found a new role as enthusiasts push it toward Steam Machine duty by unlocking all 40 GPU compute units.
Arm is being positioned less as a niche CPU option and more as a core part of the cloud stack hyperscalers need for cost, power and AI workloads.
NVIDIA is targeting a very concrete AI infrastructure problem: inference replicas may scale quickly on paper, but users still wait while the model actually becomes ready.
Nvidiaâs plan to invest $150 billion a year in Taiwan is not just a business headline, but a blunt reminder that AI power does not move by decree.
Snowflake has signed a five-year, $6 billion agreement with Amazon for AI chips, giving AWS another signal that the infrastructure fight is no longer only about GPUs.
Starcloud-1 matters not because it is large, but because it packs into a 60-kilogram satellite the idea that AI infrastructure can move into orbit.
If Nvidiaâs AI inference chip really slips out of 2026, the good news for PC gamers is not a new graphics card, but a little less pressure on the same silicon pipeline.
Nvidiaâs Vera CPU does not topple EPYC and Xeon overnight in early Linux benchmarks, but for a first-generation custom server processor it lands close enough to change the conversation.
South Africa is not merely trying to regulate AI from the sidelines; it has a rare chance to turn minerals, infrastructure and public procurement into real bargaining power.
Chinaâs state procurement of AI chips has gained a new political and industrial boundary: domestic accelerators have entered the âsecure and reliableâ product list for the first time.
FuriosaAI will use Broadcomâs advanced packaging and networking technology for its third-generation AI chips, according to The Register. This is less a story about one breakthrough chip and more about Broadcomâs growing industrial gravity in custom AI silicon.
The most expensive AI accelerator is worth less when data reaches it too slowly, too expensively, or through an architecture that burns more energy moving bits than computing on them.
1.6T Ethernet is not just a new speed label, but a test of whether the full AI data path can be proven under real pressure.
IBMâs Anderon spinout turns quantum hardware from a lab race into an industrial manufacturing question.
NVIDIAâs Vera CPU is not yet broadly ramping, but the first Linux benchmarks already push it beyond the usual category of an interesting Arm experiment.
Enterprise AI infrastructure is starting to look less like a hunt for a bigger model and more like disciplined control over GPU pools, queues, and security gateways.
Meta has shipped a new CacheLib release, reviving an open-source cache engine originally introduced in 2021 to help services cope with expensive DRAM by leaning on non-volatile memory.
Advanced Shader Delivery on the Radeon RX 9070 XT targets one of PC gamingâs most irritating problems: waiting and hitching before average FPS even becomes the thing that matters.
Samsungâs bonus dispute no longer looks like an accounting footnote; it is turning into an operational problem for the chip supply chain behind AI hardware.
The trick is not that a local trillion-parameter LLM suddenly became fast, but that someone made it run at all on a single-GPU workstation.
The FBI's new procurement plan turns license plate cameras from a local investigative tool into a national vehicle-tracking infrastructure question.
Anthropicâs deal with xAI is not a new-model story, but a sign that the most capital-heavy part of the AI race is becoming its own market.
Linus Torvalds warns that the wave of AI-generated Linux security reports is no longer helping the team, but consuming the time of people who must separate real flaws from automated noise.
AMD is extending FSR 4.1 to older RDNA 3 Radeon cards, including the RX 7900 XTX, turning AI upscaling into a GPU-longevity issue rather than a new-card-only feature.
Micron's 256 GB DDR5 module is not consumer excess, but an attempt to move the memory wall in AI and HPC servers with more capacity, speed, and lower power per node.
Startup SPAN wants to test home XFRAnode systems for AI compute and later scale them to tens of thousands of locations.
The AI industry likes to talk about intelligence. When the bills arrive, it talks about transformers.
TSMCâs move toward wind power is not green decoration. It is a response to the real cost of AI demand.
Google is preparing a Gemini agent for Mac that organizes local files and asks for sensitive permissions.
Stormgate is losing online play at the end of April because Hathora, its game-server orchestration partner, is winding down gaming services after being acquired by Fireworks AI.
The $2 billion checks to Lumentum and Coherent mark Nvidia's largest explicit bet on optical interconnects to date.
Over 50 data centers are under construction or planned in the Nordic region to feed AI's compute hunger.
Bavesh Patel, Databricksâ SVP, warns that fragmented data silos are turning enterprise AI into an expensive hallucination.
The deal marks the first major hyperscaler customer for Amazon's second-generation AI accelerators.
Google used Cloud Next to connect a new TPU generation, an enterprise agent layer, and Workspace AI into one sales story.
The two tech giants are co-developing custom AI chips as the global CPU shortage strains cloud providers.
PCI-SIGâs roadmap reveals PCIe 8.0 will demand twice the bandwidth of PCIe 6.0âwhile todayâs hardware canât even fully exploit PCIe 5.0.
Project Zomboidâs team just nuked 12+ Steam Workshop mods after discovering they were silently planting malicious files on playersâ PCs.
Broadcomâs unannounced TPU optimizations for Claude may decide whether Googleâs 2025 hardware gambit pays offâor becomes another AI infrastructure footnote.
Jensen Huang called the claim that AI will destroy software 'ridiculous' during a public address.
SoLA is interesting because it does not promise another smaller model trained from scratch, but tries to compress an existing LLM without extra training or special hardware.
Microsoft MVP Lance McCarthy just added AI to a Windows app in 10 minutes, but the real mystery is why so few apps use NPUs at all.
Claudeâs OpenClaw tier just became the first high-profile casualty of AIâs cost reckoningâproving that even $300M funding rounds canât subsidize infinity.
Intelâs $10 billion advanced packaging push targets a 15â20% power efficiency edge over Nvidiaâs H100âif developers rewrite their AI software to match.
PyTorch models may soon get their GPU kernels written by an LLM agent loopâif RightNow AIâs AutoKernel delivers on its 1.8x speedup claims without hallucinating CUDA syntax.
Netflix developed the VOID model for video object removal and inpainting tasks, which has been demonstrated in a tutorial on MarkTechPost.
Japanese researchers turned 800,000 rat cortical neurons into a real-time signal processorâwithout a single GPU in sight.
Developers behind the RPCS3 emulator have made a significant breakthrough in emulating the PS3's Cell Broadband Engine processor, which improves performance across all games.
NVIDIAâs latest robotics push hinges on a claim its own partners canât consistently prove: that virtual training translates to real-world performance.
A 50 TOPS AI desktop that sips 100W via USB-C and fits in a drawer wasnât supposed to existâuntil Dellâs forced a rethink of office hardware tradeoffs.
Meta, Microsoft, and Google are signing decade-long natural gas deals to feed AIâs insatiable power hunger, despite their own net-zero pledges.
Buried in Steamâs latest client update is code suggesting game store pages will soon display crowd-sourced FPS estimatesâstarting with anonymous tracking on SteamOS devices.
Intelâs new **18-core, $199 Core Ultra 5 250KF Plus** doesnât just match AMDâs Ryzen 5 7600 in gamingâit embarasses it in productivity by up to 40%.
GDDRHammer and GeForge exploits let attackers flip CPU memory bits by abusing Nvidia GPUsâ own high-speed GDDR memory controllers.
Sony Interactive Entertainment has officially folded Cinemersive Labs, a UK-based machine-learning outfit, into its Visual Computing Group.
AMD and Intelâs MLPerf submissions quietly abandoned the GPU arms raceâleaving Nvidiaâs 288-H100 cluster as the lone monument to raw, unaffordable speed.
Microsoftâs AI chief no longer runs AIâjust the part that doesnât exist yet.
Marvellâs stock jumped 12% on the newsâbecause $2 billion buys more than chips; it buys Nvidia a direct line to the data centerâs spine.
Nvidia's market share in China has fallen to 55%, a significant drop from its previously claimed high of 95%.
Nvidiaâs new *Auto Shader Compilation* beta silently preps shaders post-driver update, trimming *several minutes* off titles like *Alan Wake 2* and *Cyberpunk 2077*âbut first-time installs remain a bottleneck.
OneCompâs open-source framework promises to cut AI compression workflows from days of manual tuning to a single commandâbut the real test lies in production.
Googleâs TurboQuant paper promises KV-cache optimizations for LLMsâbut the and a lone reveal a familiar gap between benchmark bragging and deployment reality.
MFG 6X doesnât just double down on AI framesâit sextuples them, turning NVIDIAâs DLSS from a performance boost into a full-blown rendering revolution.
Nvidia's $2 billion Marvell investment isn't a financial play â it's a strategic splice that rewires the AI supply chain.
Rapidusâ first 1.4nm customer isnât a smartphone giant or hyperscalerâitâs Fujitsu, betting on an AI inference chip Japanâs own fabs canât yet mass-produce.
Nvidia's DLSS 4.5 introduces Dynamic Multi-Frame Generation with adaptive 1x-6x frame scaling, but simultaneously erected a hardware wall that locks out RTX 4090 owners and the entire Ada Lovelace generation.
A 310-megawatt AI fortress in a Finnish forest townâ10 kilometers from Russiaâisnât just infrastructure; itâs a **calculated provocation**.
South Korean AI chip startup Rebellions just banked $400 million in a pre-IPO round at a $2.3 billion valuation, making it one of the more credible challengers to Nvidia's stranglehold on AI accelerators.
While AI teams scramble for NVIDIA H100 allocations, ScaleOps has raised $130 million to solve a quieter crisis: the estimated 40-50% of cloud GPU capacity that sits idle or poorly utilized.
AIRAââs authors call it a breakthrough in agentic workflows, but the real news is buried in the footnotes: their async GPU pools assume you can afford the GPUs in the first place.
Leaked Nvidia slides suggest could let devs ship games with âcinematic qualityâ at 1/10th the file sizeâif your GPU can handle it.
Intelâs cancellation of the Core Ultra 9 290K Plus leaves AMDâs 208MB cache monster without a high-end rival.
Nvidiaâs GTC just became the first major tech conference to showcase four competing quantum systems running on the same GPU-backed framework.
Leaked docs show Anthropicâs next model boasts scores 30% above Opusâbut details on real-world use remain scarce.
A new arXiv paper claims LLMs trained at criticality reason like physical systems, but the evidence relies on synthetic benchmarks, not shipped products.
Intelâs Arc Pro B70 and B65 GPUs pack 32GB of RAMâdouble the capacity of earlier Battlemage teasesâwhile undercutting rivals on price for AI inference workloads.
Micronâs Singapore fab will need enough transformers to power a small city, straining an already constrained global supply chain.
Google Research has unveiled TurboQuant, an algorithm that compresses large language model key-value caches to a record 3 bits without accuracy loss â directly attacking the memory bottlenecks choking today's inference pipelines.
Gamers know the drill: a flashy trailer drops, promises the moon, and six months later youâre staring at a buggy mess with half the features cut.
AYANEOâs NEXT 2 handheld is the first major casualty of AIâs hardware land grab, and it wonât be the last.
Nvidiaâs stock jumped 3% after Huangâs remarks, proving AGIâs first real application is investor hype.
AMDâs Helios platform and MI500 GPUs aim to unseat NVIDIAâs AI dominance by 2027, but the battle hinges on software, not just silicon.
A new Adobe-NVIDIA research paper achieves real-time rendering speeds that should require a supercomputerânot a browser tab.
NVIDIAâs Alpamayo AI promises end-to-end perception for self-driving cars, but its GitHub repo reveals more benchmarks than real-world miles.
Intel has finally found AMD's weak spot: the assumption that performance justifies premium pricing.
AWSâs Trainium lab tour was less about silicon and more about selling a $50 billion vision to OpenAI, Anthropic, and Apple.
Sonyâs lead PlayStation architect just confirmed AI frame generation is comingâbut donât expect it to turn 30fps into 60fps overnight.
Googleâs open Colab MCP server lets agents programmatically control cloud notebooks and GPU-backed runtimes.
The indictment tied to Super Micro alleges top-tier Nvidia GPUs were rerouted toward China through dummy servers and hardware identity manipulation.
Microsoftâs AI data centers now use more electricity than the entire country of Croatia.
A new paper argues AI self-improvement will stall when human-written data runs out.
GMKtec's EVO-T2 pushes the AI PC from a convenient add-on toward small local infrastructure for models, agents, and edge workflows.
Amazon's AI division faces a lawsuit alleging it deployed automated virtual machines with rotating IP addresses to bypass YouTube's protections and harvest millions of videos for training its Nova Reel model.
China is running a state-level macro experiment: thousands of solo founders get government GPU clusters and subsidized cloud credits, while the West still bets on traditional venture capital.
Unsloth Studio offers a local web UI for LLM fine-tuning that the source report says can reduce VRAM use by up to 70%.
Nvidia's GTC 2026 didn't unveil a new star chip â it unveiled an entire galaxy: seven distinct processors in a modular system that shifts focus from individual GPUs to complete AI factories in racks.
Mistral quietly shipped Small 4, a 119B-parameter MoE model that collapses Magistral, Pixtral, and Devstral into one 6B-active-weight binary â and for the first time, the unified architecture actually works in production.
Roche is deploying 3,500 NVIDIA Blackwell GPUs across drug discovery and manufacturing.
Rubin Ultra is not just a larger GPU package; it signals that AI infrastructure is increasingly judged by memory, interconnect and whole-rack power design.
Most agricultural robots grab first and analyze later. This one flips the script.
Nvidiaâs Vera Rubin Space Module turns orbital AI from a payload feature into a mission-architecture question: what should a spacecraft compute before it ever downlinks?
Panther Lake, Clearwater Forest and a redirected AI plan make 2026 the key proving year for Intel 18A.
Meta's Nebius contract is worth up to $27 billion over five years, with $12 billion for reserved capacity and up to $15 billion for additional compute.
The Strait of Hormuz is exposing how much the AI economy still depends on tankers, industrial gases, metals and power plants, not just models and GPUs.
ByteDance reportedly plans to use a Malaysia-based cluster with about 500 Nvidia Blackwell systems, turning US export controls into a question of compute access rather than chip shipments alone.
Nemotron 3 Super combines 120B parameters, Mamba, and MoE for a new open-agent push.
Emoryâs framework tries to show how multimodal models can keep the signal without wasting GPU hours.
SK hynixâs LPDDR6 is not just another flagship spec label, but a memory answer to on-device AI workloads that keep demanding more bandwidth.
NVIDIA and Thinking Machines Lab have converted their strategic partnership into concrete infrastructure worth at least one gigawatt of next-generation Vera Rubin systems.
Sumo Digital is testing Arm neural graphics for mobile games, with claims of up to 50% lower GPU workload and up to 2x higher frame rates on supported hardware.
Unsloth and QLoRA can cut VRAM use enough to make Colab-based LLM fine-tuning more stable for small teams.
OpenAI closed a $110 billion funding round last month at a $730â840 billion valuation, even as annual revenue sits at $20 billion â less than Ross Stores or Frito-Lay generate selling discount clothing and potato chips.
The Arduino Ventuno Q packs Qualcomm's Dragonwing IQ-8275 with 40 TOPS of inference, transforming the familiar maker platform into serious compute for fielded robots and edge AI.
Microsoft has released Phi-4-reasoning-vision, a 15-billion-parameter open-weight multimodal model that doesn't describe imagesâit plans and executes actions within graphical user interfaces.
ABBâs RobotStudio now integrates NVIDIA Omniverse to simulate factory floors with unprecedented accuracyâbut real-world constraints may temper the hype.
The largest ALMA image of the Milky Wayâs center is not just a spectacular panorama; it gives astronomers a shared map of a region where gas, dust, massive stars and Sagittarius A* crowd into the same physical problem.
Bungie's Marathon demo drops players intoa stress test of reflexes where unpredictable NPC robotshunt you down rather than fight fair.
Appleâs M5 Pro and M5 Max chips squeeze out a 4.61 GHz Super core, but benchmarks and pricing remain conspicuously absent.
Snapdragon X2 appears to post a major single-core jump in early Geekbench results, but that number does not yet prove real Windows gaming performance.
Micronâs first 256GB LPDDR5X samples arrive as NVIDIAâs GB200 and AMDâs Turin push RAM needs higher.
Google AIâs STATIC framework claims a 948x speedup in constrained decoding for generative retrieval, targeting a bottleneck that has stymied industrial recommendation systems.
