593 summarised stories about GPU Infrastructure, each linking back to the original source. Browse all topics →
SiliconANGLE 1 month ago 53
Cisco introduced Unified Edge to turn edge sites into AI-ready infrastructure for distributed, data-intensive workloads. The platform debuted in November 2025 and includes up to 120 terabytes of storage plus 25-gigabit networking. Cisco is extending its Intersight management across data centers and edge locations and integrating security and telemetry into the edge system to support large-scale agentic AI operations.
MIT Technology Review 1 month ago 5 ● 2 sources
Insights from Tirias Research founder Jim McGregor argues that AI inference and agentic AI require data centers to be rearchitected so memory, storage, and networking are optimized together rather than in isolation. The article says data movement has become the most pressing constraint due to workloads like retrieval-augmented generation that need immediate access to large databases in real time. Enterprises should shift procurement and system design toward workload-aware, modular, efficiency-focused infrastructure to reduce memory/storage bottlenecks and stay flexible as demands and technology change.
Amazon Web Services 1 month ago 15
NVIDIA and AWS describe how to run a continuous Physical AI “model factory” pipeline using NVIDIA Cosmos 3 on Amazon SageMaker HyperPod, moving through synthetic-data generation, post-training, and closed-loop evaluation on a single shared cluster and storage setup. Cosmos 3-Super is a 64B-parameter model that can be post-trained into a deployable policy. The workload no longer requires separate GPU pools per pipeline stage because the same persistent node pool under one control plane time-shares generation, training, and evaluation for better GPU goodput across the whole loop.
GitHub 1 month ago 36 ● 2 sources
WebLLM released as an in-browser LLM inference engine that runs fully in the browser using WebGPU hardware acceleration and can integrate via an OpenAI API-compatible interface. It supports chat streaming by setting stream: true in engine.chat.completions.create. Developers can now deploy certain models locally in web apps without server support, including structured JSON generation and optional worker/service-worker execution for better UI responsiveness.
Tech Funding News 1 month ago 39 ● 2 sources
Crusoe raised over $3B at a $30B valuation after securing a $13B, five-year Jane Street cloud deal. The financing round lifted its valuation from about $10B in October 2025. It signals a shift toward supplying AI infrastructure at larger scale, while also increasing pressure to convert contracted GPU demand into faster data-centre capacity.
Tech Funding News 1 month ago 43 ● 2 sources
Gimlet Labs raised $300 million to support software that routes AI inference workloads across multiple chip types. The funding valued the company at $3 billion. Gimlet said it is moving beyond software toward helping customers configure and building data centers to handle heterogeneous hardware needs.
YouTube 1 month ago 31
A hands-on test wired four Mac Studios into a local Kimi K3 cluster to run a coding job similar to a cloud agent run. The local setup took about four hours, while the cloud agent finished in about 15 minutes. The results suggest the cloud agent can complete the same kind of task much faster than the local cluster.
Tech Funding News 1 month ago 44 ● 4 sources
Nscale signed a multi-year AI cloud agreement with humanoid robotics company Figure and also took an undisclosed equity stake. The deal commits at least $3.5 billion in AI cloud compute, with capacity to scale past $6 billion, and targets initial systems for the second half of 2027. Figure gains priority compute and orchestration support from Nscale for its robotics training and models, while the partnership expands Figure’s ability to run large-scale training needed for robot shifts.
SiliconANGLE 1 month ago 31 ● 7 sources
Nvidia introduced Personal AI Router (PAIR), a local distributed clustering tool that lets people use idle home PCs and Macs to run agentic AI subtasks across multiple machines. Nvidia said the client is available in beta for macOS, Windows, and Linux. PAIR sets up automatic proxy connections to tools like LM Studio and Ollama, discovers devices via mDNS/IP, dynamically redistributes subtasks when nodes become unavailable, and returns results to the main node for faster task completion.
TechCrunch 1 month ago 11 ● 2 sources
Crusoe raised a new $3B funding round at a reported $30B valuation with investment partners including Atreides Management and Valor Equity Partners. The round values the company at $30 billion. The extra capital adds to its AI infrastructure push following its $13 billion, five-year GPU and AI infrastructure cloud contract with Jane Street.
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24 October 2026
The day’s main thread is the quiet engineering work behind “agentic” software: making agents produce code without outrunning the ability to verify it. Anthropic reported that its merged code changes climbed from about 2,500 per day in May to over 30,000 per day by September as it folded more autonomous “software factory” workflows into Claude Code. The argument isn’t more autonomy; it’s a better governor. That showed up in other safety-forward tooling: AWS’s Continuum security agent hit 89.0% end-to-end task completion on CyberGym-E2E, but only 37.8% of its patches fixed the specific historical bug—an important reminder that passing tests isn’t the same as fixing the right thing. Even Kubernetes came in with a lesson about control loops: average cluster CPU sat around 8% while node provisioning stayed high, because HPA, VPA, KEDA, GitOps, and node autoscalers can make contradictory bets.
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