594 summarised stories about GPU Infrastructure, each linking back to the original source. Browse all topics →
BBC News 1 month ago 35
Crypto mining firms are redirecting investment and data-centre capacity from Bitcoin toward AI workloads as Bitcoin rewards decline and coin prices fall. Bitcoin peaked at about $124,000 in October 2025 before dropping to around $80,000 in August. As a result, miners are signing long compute and colocation deals for AI (including multi-year GPU capacity leases), making it hard for many to switch back to Bitcoin quickly.
SiliconANGLE 1 month ago 34 ● 7 sources
Apple refreshed the Mac mini and Mac Studio by debuting new processor-equipped models for the next generation of Macs. The Mac mini starts at $899 with an M6 chip that is built on a 2-nanometer process. The lineup now adds an M6-based Mac mini and an M5 Pro edition plus two new Mac Studio configurations using M5 Max or M5 Ultra chips.
SiliconANGLE 1 month ago 21
AI storage infrastructure is being redesigned for inference as longer agent contexts and KV caches outgrow GPU memory.
MarkTechPost 1 month ago 6 ● 5 sources
Perplexity released Portable Computer, a local-first agent platform that runs its agent harness, orchestrator, planner, tool routing, and post-trained models on NVIDIA DGX Spark with an OS-enforced sandbox. The DGX Spark hardware requirement is a GB10 superchip with 128 GB memory plus at least 1 TB storage. Local-handled steps incur no per-token charge, while steps needing live web or frontier reasoning require explicit per-step user approval before being sent to one of 15+ cloud models, changing how tasks escalate from device to the cloud.
SiliconANGLE 1 month ago 9
Banco BS2 said it is scaling enterprise AI by first building infrastructure, governance, and operational discipline rather than deploying AI agents directly. Its CIO Danilo Zimmermann stressed that latency is mandatory and non-negotiable. This shifts the bank’s AI rollout to start with business and customer needs to shape infrastructure investments and automation for operational efficiency.
MarkTechPost 1 month ago 33
Meta introduced MetaRoCE, a clean-sheet RDMA transport protocol built for AI-scale Ethernet that shifts ordering, path selection, and recovery into the NIC instead of relying on in-order delivery and pause-frame behavior. Meta reported about 86% throughput at 1% packet loss on a 64-node AMD GPU cluster running RCCL collectives. Deployment-ready artifacts are planned for October 2026, with early hardware validation on AMD Pensando and further vendor implementations underway, making this a fabric-architecture decision rather than an immediate procurement change.
The New Stack 1 month ago 22 ● 5 sources
Perplexity brought its Computer agent to desktop as Portable Computer, running locally in a sandbox on supported Nvidia hardware. It requires at least 24GB of GPU VRAM, with a DGX Spark desktop costing $4,800 or an RTX 3090 priced at well over $1,500. Portable Computer now executes local file edits, shell commands, and PDF processing, but can route incomplete steps to Perplexity cloud models with user approval to keep execution controlled.
NVIDIA 1 month ago 33
NVIDIA announced that major PC game publishers will bring titles and anti-cheat support to NVIDIA RTX Spark at Gamescom. EA, Embark, and Ubisoft are among the publishers added ahead of RTX Spark’s launch this fall, including EA SPORTS F1 25 and Apex Legends. RTX Spark will add native EA Javelin anti-cheat support and bundle RTX features like DLSS and Reflex for RTX-powered Windows PCs.
Fortune 30 ● 2 sources
Ocean-based data center projects have expanded for AI and computing needs, despite environmental, regulation, and maintenance hurdles that keep traditional land sites attractive. The article cites a Chinese wind-powered underwater data center that launched in June 2025 and began full commercial operations in May 2026. The result is a shift toward experiments using seawater cooling and offshore power while ongoing analyses focus on how to limit marine thermal impacts and make operations maintainable and approvable.
SiliconANGLE 1 month ago 21
Nvidia released the Jetson Orin Nano 2 edge robotics computer for running AI models on-device. It delivers 78 trillion operations per second of AI compute and uses 40% less power than the previous generation in a 15-watt mode. The higher compute and lower power enable real-time vision and other AI perception tasks in lightweight robots and drones, with general availability planned for the first half of 2027.
SiliconANGLE 1 month ago 46 ● 2 sources
Cisco expanded its Secure AI Factory with Nvidia to rack-scale deployments, aiming to let enterprises operate production-ready AI across their infrastructure. The update adds rack-to-fabric liquid cooling beyond 200 kilowatts per rack for reasoning, agentic AI, and trillion-parameter training. It introduces Nvidia Spectrum-X switch silicon with Cisco OS integration and adopts reference architectures plus shared management tooling, changing the offering from rack-level setup toward an end-to-end AI-factory operations stack.
Tech Funding News 1 month ago 8
Lambda is in talks to raise up to $3 billion at a valuation of $12 billion or more, with a potential IPO as soon as 2027. The article says Lambda is expected to generate more than $1.5 billion in revenue in 2026. If the round closes, Lambda joins multiple neocloud rivals lining up for 2026–2027 listings, but public-market accounting for GPU depreciation will become a key test for its economics.
The Verge 1 month ago 37 ● 3 sources
OpenAI says its Jalapeño AI chip finishes inference tasks more efficiently and returns faster responses than competing AI systems. The blog post and reporter briefing were published on Tuesday. Jalapeño, an ASIC co-developed with Broadcom, is positioned to reduce latency while increasing throughput for AI inference.
The Neuron 2 months ago 42 ● 3 sources
SpaceXAI is deploying NVIDIA’s new Vera CPU to power the next generation of its AI agents, including running an optimized Vera hardware setup on its first AI satellite, Starmind. The deployment is tied to Vera Rubin and the next-gen Vera CPU being sent “into orbit,” with the article describing Vera as delivering up to 1.8x faster agentic task completion than traditional x86 chips. This shifts more AI agent workload from GPUs toward a dedicated CPU role (coordinating tools and running code), and it signals that AI infrastructure could expand to space-based compute.
The Verge 2 months ago 17 ● 7 sources
Apple announced updated Mac mini and Mac Studio desktops with new M6 and M5 Ultra processors, which are available for preorder from Apple.
The Verge 2 months ago 25 ● 7 sources
Apple launched new Mac Studio models using the existing M5 Max and a new M5 Ultra chip inside the same small chassis as earlier generations. The updated M5 Max Mac Studio includes 36GB of unified memory. As a result, the Mac Studio line is brought back under a single chip generation after a prior split between different Studio chip families.
The Verge 2 months ago 42 ● 7 sources
Apple announced a new generation of Mac Mini models with an M6 and an M5 Pro chip. The M6 Mac mini starts at $899 and the M5 Pro model starts at $1,699, with shipments scheduled for September 22. Pricing increased $100 versus the previous M4-generation starting prices and preorders began today for later delivery.
The Verge 2 months ago 38 ● 7 sources
Apple announced an M6 chip for Macs alongside an M5 Ultra aimed at compute-heavy workloads like 3D rendering and running frontier AI models. The M6 is Apple's first 2nm chip and adds a Dual 16-core Neural Engine for on-device AI. With the updated 12-core CPU (including two super cores and a mixed performance/efficiency core layout), Macs can run more AI workloads locally with improved performance and power efficiency.
OpenAI 2 months ago 21 ● 3 sources
Jalapeño, a custom OpenAI inference chip, reported faster, more power-efficient AI inference for modern models. No specific benchmark numbers were disclosed in the article. The stated result is higher throughput and lower latency compared with prior inference approaches.
Trending Topics 2 months ago 41
Taiwan’s Taiwan Innotech Expo (TIE) is scheduled for September 17–19 at Taipei World Trade Center as a government-backed venue for moving AI, chip, quantum, and sovereign communications research into commercial use. Last year drew 50,000+ visitors from 65 countries with 422 exhibitors and about 1,100 technologies, and this year organizers target roughly 440 exhibitors from 19 countries and about 1,100 technologies. The show’s content is organized around three AI-forward pavilions and includes proof-of-concept and licensing tracks plus invention awards, conferences, and matchmaking sessions.
Startups Magazine 46 ● 2 sources
Embedd secured $2.7 million in pre-seed funding led by Seedcamp to automate how software integrates with multiple semiconductor chips. The round was also backed by Microchip Technology, with Embedd enabling Zephyr support. The company will use the funding to keep developing its platform and expand partnerships so chip developers can deliver software integration faster.
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25 October 2026
Microsoft Research dropped Agensh, an open-source multi-agent harness that aims to make coding swarms feel less like a science project and more like a workflow. The key idea is decentralized task claiming: instead of a single central orchestrator, agents self-assign sub-tasks, then synchronize by writing progress into a shared Git repository. In ProgramBench tests, Agensh scaled from 1 to 1,024 agents, with a 30-minute pandoc milestone climbing to a 30% passing rate at 128 agents. The mean final test-pass rate improved from 19.31% with one agent to 28.78% at 128, and pandoc reached 79.59% when using GPT-6.1-sol with 32 agents—an unusually specific datapoint for what is often framed as “more agents = better.”
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