By Satoshi Voice
Publication Date: 2026-10-30 12:31:00
Article produced with artificial intelligence systems and published under the editorial responsibility of Amelia Tomasicchio. How we work
Key takeaways
- Vera targets agentic AI workloads in data centers.
- Memory bandwidth reaches up to 1.2 TB/s, with up to 1.8 TB/s between sockets.
- SPEC CPU 2026 scores are estimates, not submitted results.
- AMD and Intel retain advantages in several server workloads.
A data-center CPU built for agentic AI
Nvidia positions Vera specifically for agentic AI data-center workloads. Its strongest benchmark areas—Python execution and memory throughput—align with software orchestration, data preparation and large-scale data handling in those workflows.
Python underpins agentic frameworks including LangGraph, CrewAI and AutoGen. Vera led the PyBench tests, ahead of the EPYC 9755, which in turn outperformed Intel’s Xeons and AMD’s larger EPYC 9965.
The comparisons used two-socket platforms with 1.5 TB of memory each: an Nvidia MGX Vera reference system with Samsung LPDDR5-9600 ECC SOCAMM2, a Supermicro Xeon 6980P system with Micron DDR5-8800 ECC MRDIMM, and an AMD Volcano platform with SK hynix DDR5-6000 ECC RDIMM.
Nvidia’s Vera CPU performance: bandwidth and SPEC results
Vera’s memory interface supports up to 1.2 TB/s through LPDDR5X, alongside up to 1.8 TB/s between sockets. STREAM and MBW testing showed strong throughput, although CacheBench placed Vera behind competitors in its combined read/modify/write test.
In SPEC…
