Nvidia's Vera CPU Goes Live as Standalone Instance on Oracle Cloud, Benchmarks Show Bandwidth Lead

Nvidia and Oracle announced on Tuesday at Oracle AI World that Nvidia’s Vera Rubin NVL72 rack and Vera CPUs are now generally available on Oracle Cloud Infrastructure (OCI) Superclusters. Crucially, the announcement highlights "standalone" Vera instances, meaning pure CPU deployments not tied to GPU compute. This marks a strategic expansion for Nvidia, pushing its Arm-based Vera CPU into the general-purpose server market previously dominated by x86 architectures from Intel and AMD.

While Google Cloud recently announced Vera Rubin availability, Oracle's move to offer standalone Vera instances sends a different signal. Hyperscalers typically rely on x86 for their CPU fleets, with Arm options often coming from third parties like Ampere. By placing Vera alongside x86 competition regardless of GPU attachment, Nvidia is directly challenging the status quo, particularly as agentic AI workloads grow.

Technology outlet Tom's Hardware conducted independent benchmarking on a local Vera server, revealing significant advantages in memory bandwidth. Using the Stream benchmark, Vera leveraged LPDDR5X-9600 memory and a distributed mesh cache to more than double the bandwidth available on a dual Intel Xeon 6980P system equipped with MRDIMMs. This high bandwidth is critical for agentic AI loops that involve large database queries or extensive document processing.

Vera also demonstrated strong Python performance, which underpins many agentic frameworks like CrewAI and LangGraph. Tests showed that Nvidia’s second-generation Scalable Coherency Fabric (SCF) reduced data movement overhead in real-world workloads such as SQLite database queries.