Nvidia wins MLPerf once again, by a mile. But AMD demonstrated it can compete with the older H200 in training smaller models.

F or those who enjoy rooting for the underdog, the latest MLPerf benchmark results will disappoint: Nvidia’s GPUs have ...

The low market share in the AI segment will also give AMD a longer growth runway compared to Nvidia as companies look for cheaper alternatives. The latest MLPerf Inference test results have been ...

Nvidia always excels at each of the newest rounds of MLPerf benchmarks and the latest result is another entry into the ...

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

NVIDIA, Oracle, Quanta Cloud Technology, SCITIX, Supermicro, and TinyCorp. “We would especially like to welcome first-time MLPerf Training submitters AMD, IBM, MangoBoost, Nebius, and SCITIX ...

This milestone marks the first-ever multi-node MLPerf inference ... the server scenario on AMD MI300X GPUs, outperforming the previous best result of 82,749 TPS on NVIDIA H100 GPUs.

Using 32 AMD Instinct™ MI300X GPUs across four nodes, MangoBoost fine-tuned the Llama2-70B-LoRA model in just 10.91 minutes, setting the fastest multi-node MLPerf benchmark on AMD GPUs to date. The ...