Nvidia and Oracle announced the general availability of Nvidia Vera Rubin NVL72 racks and standalone Vera CPUs on Oracle Cloud Infrastructure Superclusters during Oracle AI World. The companies plan to expand the cloud superclusters into multi-gigawatt installations designed to train and serve frontier artificial intelligence models while scaling CPU and GPU compute pools independently. Early adopters include OpenAI, which has deployed Vera into production for agentic sandboxes after previously training its GPT-6 Astra model in Abilene using an OCI Supercluster equipped with over 100,000 Nvidia Blackwell GPUs. [1][2]
Each Vera Rubin NVL72 rack links 72 GPUs through NVLink scale-up networking, supported across clusters by Oracle Acceleron networking, BlueField-4 DPUs, and Nvidia Spectrum-X Ethernet with Spectrum-6 switches. The newly available Vera CPU instances specifically target agentic AI tasks such as code execution, database queries, and tool calls that run between GPU passes. By using OCI Kubernetes Engine, customers can decouple processor resources, while Acceleron supplies hardware-level isolation for untrusted AI-generated code. Oracle also plans an HGX Rubin NVL8 configuration pairing eight Rubin GPUs with dual 64-core Intel Xeon 6 processors, 4TB of DDR5 memory, and 6.4 Tbps of RDMA networking, though no release date was provided. [1][2]
The deployment marks Nvidia’s first major hyperscaler push for standalone CPUs directly alongside traditional x86 infrastructure from Intel and AMD. While neoclouds such as CoreWeave, Nscale, and Nebius have previously offered Vera, Oracle is the first hyperscaler to offer standalone Vera instances alongside its Rubin GPU expansion, following Google Cloud's Rubin rollout. [2]