Tom's Hardware has shared early benchmarks from a local Vera server, ahead of a full review, noting the tests were not run on OCI infrastructure. On the industry-standard Stream benchmark's triad test, Vera's LPDDR5X-9600 memory and monolithic die with a distributed mesh for caching more than doubled the bandwidth of a dual Intel Xeon 6980P system, even one fitted with 8,800 MT/s MRDIMMs. Nvidia quotes a theoretical 1.2 TB/s, but the tested lead held across add, copy and scale too.

The chip also showed strength in Python, which matters because common agentic frameworks such as CrewAI and LangGraph, plus libraries like PyTorch and TensorFlow, are Python-based. In SQLite database queries, Nvidia's second-generation Scalable Coherency Fabric again showed real-world gains, suggesting the crosstalk between agentic AI and ordinary data centre workloads is strong. Vera is not positioned to displace x86 on its own; Nvidia's Ian Buck said in March that the world could not be served by a single 88-core SKU, and AMD's upcoming EPYC Venice will pack up to 512 threads in one socket, so single-socket density remains with AMD and Intel.

Oracle is treading carefully alongside the standalone push: it will also offer the HGX NVL8 cluster of eight Rubin GPUs attached to a dual 64-core Xeon 6 host with 4TB of DDR5. Whether customers actually deploy Vera in production, and for what workloads, remains the open question.