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NVIDIA delivers the performance, scale and reliability that frontier training requires — in benchmarks and beyond.
Every breakthrough AI model starts the same way: with a training run. The infrastructure running those training jobs shapes everything: how fast teams can iterate, what scale of model they can build and whether those jobs complete reliably.
As models grow in size, complexity and intelligence, the demands on training infrastructure are also rising.
In MLPerf Training 6.0 — the latest of a series of rigorous, peer-reviewed industry benchmarks for evaluating AI training performance — the NVIDIA Blackwell platform led across every category, demonstrating:
NVIDIA brings together performance, scale and reliability in a single platform engineered through extreme codesign to enable AI model builders to launch frontier models faster, minimize training costs and start generating revenue early.
MLPerf Training 6.0 added two new mixture-of-experts (MoE) pretraining workloads to the suite: DeepSeek-V3 671B and GPT-OSS-20B, reflecting the growing centrality of MoE architectures. The NVIDIA platform was the only one to be submitted across every benchmark, and delivered the fastest time to train on all seven.
This round, NVIDIA submitted results on both NVIDIA GB200 NVL72 and GB300 NVL72 rack-scale systems. Within each rack-scale system, fifth-generation NVIDIA NVLink Switches connect all 72 GPUs with high bandwidth, into a unified pool of compute and memory, enabling them to act as one giant GPU.