It should not surprise anyone: Nvidia is still the fastest AI and HPC accelerator across all MLPerf benchmarks. And while Google submitted results, AMD was a no-show. This blog has been corrected on ...

Radeon Pro GPUs outperform Nvidia’s top cards in critical SOLIDWORKS workloadsMidrange Radeon Pro GPUs match high-end Nvidia Blackwell performance in InventorAMD’s AI Pro R9700 leads Nvidia in drawing ...

MLCommons, the nonprofit entity for measuring artificial intelligence performance, today announced the results of its MLPerf 4.0 benchmarks for AI inference and other workloads. With impressive ...

Every six months, NVIDIA, Intel and Google show how much their AI training hardware and software have improved while their competitors hide in the bushes. NVIDIA is starting to see some competitive ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More MLCommons is out today with its MLPerf 4.0 benchmarks for inference, once ...

Nvidia’s rack-scale Blackwell systems topped a new benchmark of AI inference performance, with the tech giant's networking technologies helping to play a key role in the results. The InferenceMAX v1 ...

Nvidia's general-purpose GPU chips have once again made a nearly clean sweep of one of the most popular benchmarks for measuring chip performance in artificial intelligence, this time with a new focus ...

Depending on the hardware you're using, training a large language model of any significant size can take weeks, months, even years to complete. That's no way to do business — nobody has the ...

NVIDIA's industry-leading H100 Tensor Core GPUs have set new records in the latest industry-standard tests, flexing their AI GPU muscle in the latest MLPerf industry benchmarks. The NVIDIA Eos AI ...

In the latest benchmark test for artificial intelligence, Nvidia, Dell, Qualcomm and a gaggle of startups brought novel techniques to the task of slimming down the compute budget of answering ...