In the age of AI reasoning, training smarter, more capable models is critical to scaling intelligence. Delivering the massive performance to meet this new age requires breakthroughs across GPUs, CPUs, NICs, scale-up and scale-out networking, system architectures, and mountains of software and algorithms. In MLPerf Training v5.1—the latest round in a long-running series of industry-standard tests of AI training performance—NVIDIA swept all seven tests, delivering the fastest time to train across large language models (LLMs), image generation, recommender systems, computer vision and graph neural networks.

NVIDIA was also the only platform to submit results on every test, underscoring the rich programmability of NVIDIA GPUs, and the maturity and versatility of its CUDA software stack.
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