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NVIDIA BlogSelectedAI score7171
NVIDIA BlogSelectedAI score6363 OCP Global Summit: Amid Ecosystem Adoption, NVIDIA Opens Vera Rubin Architecture to Help Scale AI Factories Worldwide
At the OCP Global Summit, NVIDIA announced it is contributing Vera Rubin rack and compute tray designs to the OCP through its MGX open architecture. The MGX 1.2 spec adds rack-level blind-mate liquid cooling, a 5000A liquid-cooled busbar, and support for rack deployments of up to 250kW.
Why it matters: The piece collects multiple open specifications such as MGX 1.2 and Open Data Center Specification v0.7, along with accompanying software, giving readers a view into the open foundations of AI factories.
NVIDIA BlogSelectedAI score7272 NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents
NVIDIA and Microsoft announced at the Windows AI and Surface event in San Francisco that they are jointly building agent software and hardware for Windows PCs.
Why it matters: The article details the specs and launch timeline for RTX Spark and DGX Station for Windows, helping readers assess how realistic running large models locally with resident agents will be.
AMD Official AnnouncementsSelectedAI score6969 AAI 2026: AMD Delivers Full-Stack Compute for the Agentic AI Era
At Advancing AI 2026 on July 23, AMD unveiled a full-stack AI and physical AI product portfolio, including its first rackscale solution, AMD Helios (72 Instinct MI455X GPUs plus 18 6th Gen EPYC "Venice" CPUs).
Why it matters: The official announcement consolidates Helios rack, MI400 series CPU/GPU spec figures, and major customer deployment plans, allowing readers to benchmark actual progress against competing solutions.
AMD Official AnnouncementsSelectedAI score7272 Microsoft to Deploy Next-Gen AMD Instinct and AMD EPYC Processors as the Companies Expand Their Long-Term Strategic Partnership
AMD announced an expanded long-term strategic partnership with Microsoft, which will deploy the AMD Helios Rackscale Solution at scale on Azure for frontier model inference, its own AI customers, and Azure AI services.
Why it matters: The official announcement specifies the concrete vehicle and product composition of the partnership, helping readers understand how the two companies divide roles in AI infrastructure and the pace of deployment.