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Vera Rubin NVL72 MLPerf preview — solo numeri NVIDIA
NVIDIA blog 2026-09-16. Preview MLPerf v6.1: fino a ~3.7× / ~2.5× NVIDIA-claimed vs GB300. Evitare #1 assoluto senza MLCommons.
On , NVIDIA published a first preview MLPerf Inference v6.1 submission for Vera Rubin NVL72. Headline figures are NVIDIA-claimed: up to ~3.7× throughput vs GB300 NVL72 on Qwen3-VL (vLLM + Dynamo) and up to ~2.5× on DeepSeek-R1 (TensorRT-LLM). MLCommons marks the configuration in a Preview category — early structured results, not proof of broad commercial availability or stable rental economics.
Editorial rule: do not crown absolute “#1” without MLCommons language and entry IDs. Quote ratios as NVIDIA-stated preview comparisons to like-sized GB300 NVL72, and note scenario variance (interactive gains can differ from offline/server). Power, TCO, and fleet reliability are out of scope for this draft.
MSP takeaway: useful for capacity planning conversations, but gate POCs on your own SLOs and software stack maturity — preview silicon ≠ production SLA.
FAQ
Sono vincitori ufficiali MLCommons?
Sono submission preview NVIDIA in MLPerf Inference v6.1. Riportare i rapporti NVIDIA-claimed e lo status Preview; evitare #1 assoluto senza framing MLCommons.
Cosa devono ancora validare gli MSP?
Stack software, power/cooling e SLO di produzione — il throughput preview non è una garanzia managed-service.
Sources
- NVIDIA Blog — Vera Rubin NVL72 MLPerf Inference v6.1 debut (2026-09-16)
- MLCommons — MLPerf Inference v6.1 chairs note (context on Preview category)
Draft only — do not publish without editorial review.