588 summarised stories about GPU Infrastructure, each linking back to the original source. Browse all topics →
SiliconANGLE 2 weeks ago 6 ● 9 sources
IBM and CoreWeave co-designed workload controls for agent execution, extending IBM’s research infrastructure from model training into isolated code-running and testing. They built a large H100 cluster for IBM Research’s Granite workflows. The work resulted in joint identity integration plus CoreWeave Sandboxes that let researchers choose where agent code runs and what resources it can access.
Ars Technica 3 weeks ago 35
The US arrested Greg Lui, CEO of Earthmade Computer, over alleged export-controlled shipments of Nvidia chip servers to China. The indictment says the servers were worth more than $300 million and involved Nvidia’s A100 and H100 GPUs. The case may lead to prosecutions and tighter scrutiny of shipments that could enable faster AI model training in China.
MarkTechPost 3 weeks ago 47 ● 2 sources
NVIDIA announced a 64GB version of its DGX Spark desktop AI system aimed at running local models and always-on agents, with optional clustering for more capacity. The DGX Spark 64GB is rated up to 1 petaFLOP of FP4 AI compute. As a result, developers can keep token use local (avoiding per-token API billing) and scale by clustering two 64GB units for 128GB memory and higher throughput, instead of moving workloads to metered cloud services.
The New Stack 3 weeks ago 45
Road to KubeCon argues that AI agent harnesses should move from laptop-style, local setups to cloud-native designs that separate the agent loop from supporting infrastructure and services. Koordinator was used by Zhuoyu Technology to push on-Kubernetes GPU allocation above 95% and GPU utilization above 55%, addressing inefficiencies from the default Kubernetes scheduler. As a result, agent and workload management becomes more distributed and scalable, with better scheduling outcomes for AI and other microservice workloads.
Ars Technica 3 weeks ago 49
Nvidia announced the Shield TV Pro would rise in price effective immediately. Starting October 2, the Shield Pro will cost $299.99 instead of $199.99. Nvidia says higher component costs, including memory, are driving the change, attributing it to industry-wide effects from generative AI supply chains.
NVIDIA Blog 3 weeks ago 16 ● 2 sources
NVIDIA will release a DGX Spark configuration with 64GB of unified memory through partner PC makers to run local AI agents and models with its software stack. The 64GB SKU starts at $4,999 and is available from Oct. 23. Developers can scale by clustering two units to pool memory and run larger models with NVIDIA Sync without reconfiguring the software environment.
Tech Funding News 3 weeks ago 43
Volantis raised $88 million to develop its A-1 photonic memory architecture for AI inference. The company targets models over 20 trillion parameters at up to 10,000 tokens per second per user and plans to deliver its first integrated inference engines in 2027. The funding supports expanding its engineering team and moving toward commercial customer deployments of the photonic inference platform.
Trending Topics 3 weeks ago 1
Amazon plans to spin off about $8 billion worth of Nvidia Grace Blackwell chips into a special purpose vehicle and then lease the chips back for use in US data centers. The proposal would involve thousands of Grace Blackwell chips and is reported by the Financial Times as an $8 billion carve-out. The financing would shift expensive chip costs to external investors while supporting Amazon’s asset-light balance-sheet strategy alongside its >$200 billion capital expenditure plan.
Latent Space 3 weeks ago 33
Alex Zhang of MIT discussed research on recursive language models and “harnesses” as compositional systems in an interview/podcast focused on AI tooling and agent architectures. The first 30 Latent Space subscribers get a 30% off code for new tickets (no refunds), with the event set for 2 weeks later. The episode shifts from past GPU-kernel communities to how AI-written kernels and multi-agent swarms raise capability and verification questions that shape future research bets.
Sequoia 3 weeks ago 1
Sail is building an inference and agent workspace platform meant to let AI agents run for hours or days instead of waiting for short human prompts.
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23 October 2026
The biggest thread today wasn’t model capability—it was the constraint layer around AI. Finland’s regulators ordered Google to halt environmentally significant preparatory work for new Tuike Finland data centers in Muhos and Kajaani after clearing an estimated 250,000 trees before the environmental review was complete. The pause pushes timelines back, but it also spotlights the new reality for hyperscalers: compute demand is no longer just a power and plumbing problem; it’s a permitting, community, and climate one. That theme echoes in the broader push for enforceable oversight as AI infrastructure expands faster than regulations, with concerns about grid reliability and inconsistent local approvals now entering boardrooms.
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