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OCP Global Summit: Amid Ecosystem Adoption, NVIDIA Opens Vera Rubin Architecture to Help Scale AI Factories Worldwide

At the Open Compute Project Global Summit in San Jose, NVIDIA announced the release of the MGX 1.2 open architecture for its Vera Rubin AI factories, adding liquid‑cooled 5,000A busbars, 19‑inch equipment support, and higher‑density rack designs. The company also expanded its DSX OS with open‑source components for network configuration, cluster validation, rack management, and bare‑metal provisioning, and joined partners to publish the Open Data Center Specification v0.7 and the OCP Grid Resilience Specification. These standards aim to provide a common foundation for AI factory design, power, cooling, and grid resilience, enabling manufacturers and operators to build interoperable, scalable AI infrastructure.

During the Open Compute Project Global Summit held at the San Jose McEnery Convention Center, NVIDIA announced the MGX 1.2 open architecture for its Vera Rubin AI factories. The new specification extends the MGX platform with rack‑scale blind‑mate liquid cooling, a 5,000‑amp liquid‑cooled busbar, native 19‑inch equipment support, and higher‑density rack designs, while also adding configurable I/O bays, fanless liquid‑cooled compute trays, and standardized power and cooling interfaces. NVIDIA also expanded its DSX OS with open‑source components for network configuration, cluster validation, rack management, and bare‑metal provisioning, allowing cloud providers and software partners to integrate AI factory capabilities into multi‑tenant platforms. In addition, NVIDIA joined industry leaders to publish the Open Data Center Specification v0.7, which outlines a unified blueprint for AI factory facility design, and the OCP Grid Resilience Specification, which defines how large‑scale AI infrastructure should respond to utility grid disturbances. These standards provide a common foundation for manufacturers, colocation providers, and data center operators to design, fabricate, and deploy AI factory infrastructure without waiting for proprietary specifications. The event also highlighted Visionbay’s K‑1 platform, which adopts NVIDIA’s 800 VDC architecture to support higher‑density power distribution and liquid‑cooled infrastructure, demonstrating how ecosystem partners are translating NVIDIA’s AI factory architecture into deployable infrastructure for the next era of accelerated computing.

Why it matters

Open standards reduce dependence on proprietary designs, accelerating deployment and improving power efficiency across AI factories worldwide. They enable a shared ecosystem that can scale infrastructure to meet growing AI workloads.

Topic dossiers NVIDIA