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Nvidia GPUs, CUDA, data-center demand, export rules, and the company's role in AI compute, tracked from primary sources.
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9 storiesEnterprise
NVIDIA reports Spectrum-X Ethernet improvements for large-scale AI clusters
NVIDIA says its Spectrum-X Ethernet architecture uses adaptive routing, targeted congestion control and hardware-based plane load balancing to reduce bottlenecks in large AI data centers. The company reports faster failover, steadier performance under congestion and less degradation during link failures, though the…
developer.nvidia.comEnterprise
SpaceXAI says it will deploy NVIDIA Vera CPUs for agentic AI and orbital computing
NVIDIA says SpaceXAI will use its Vera CPUs for agent orchestration, code execution and data processing, while adapting a Vera Rubin system for a planned Starmind AI satellite.
nvidianews.nvidia.comProduct
NVIDIA says Groq 3 LPX AI racks enter full production after $20 billion deal
Yeni Şafak English, citing an NVIDIA announcement, reports that Groq 3 LPX AI racks have entered full production after NVIDIA’s $20 billion purchase of Groq assets. The systems are expected to be deployed by Nebius later this year, but the report’s performance and commercial claims have not been independently…en.yenisafak.comProduct
NVIDIA introduces NVLink Fusion for custom AI accelerators
NVIDIA says NVLink Fusion will let hyperscalers and AI companies connect custom XPUs to its networking, rack, cooling, power and software infrastructure, potentially reducing the complexity and time required to deploy semi-custom AI systems.
blogs.nvidia.comProduct
NVIDIA says Vera Rubin NVL72 delivers up to 30x higher agentic-AI throughput per megawatt
NVIDIA reports that its Vera Rubin NVL72 systems produced up to 30x more agentic-AI inference throughput per megawatt and up to 35x lower token costs than GB300 NVL72 systems in company measurements. The results used recorded coding-agent trajectories and remain pending SemiAnalysis review.
blogs.nvidia.comInnovation
FlashPrefill V2 paper reports large long-context serving speedups with block-sparse attention
An arXiv paper describes FlashPrefill V2, a block-sparse attention system for long-context LLM serving, and reports speedups of up to 47.26x over FlashAttention-2 at 128K context on NVIDIA H20 GPUs.arxiv.orgIndustry
NVIDIA previews power-management system for adding AI capacity within fixed data-center budgets
NVIDIA says its DSX MaxLPS suite can reclaim unused rack power, improve performance per watt and support up to 40% more Rubin GPU capacity within the same facility power budget. The software is still in Developer Preview, and the performance figures come from NVIDIA's own representative workload evaluations.
developer.nvidia.comInnovation
Forbes reports Nvidia’s AVO harness helped Claude Opus 5 reach 100% on ARC-AGI-3
Forbes reports that Nvidia’s AVO agent harness raised Claude Opus 5’s completion rate on ARC-AGI-3’s public set from about 30% to 100% without changing the model’s weights. The result materially advances an existing report about Nvidia’s AVO system, but the supplied article’s claims are not independently confirmed…forbes.comSecurity
NVIDIA says AI-agent security should sit below the harness
NVIDIA argues that AI-agent security controls should be enforced by runtimes and infrastructure, rather than by modifiable model or harness logic. Its technical blog proposes a layered architecture and four workload profiles, but provides no independent validation of the approach.
developer.nvidia.com
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