Nvidia wins MLPerf once again, by a mile. But AMD demonstrated it can compete with the older H200 in training smaller models. Newsletters Amazon Prime Day Share a News Tip ...

New benchmark results from AMD, Untether AI, Google, Intel, and Nvidia demonstrate the converging AI silicon performance competition. However, system design, networking, and software make AI sing ...

AMD's data center Instinct MI300X GPU can compete against Nvidia's H100 in AI workloads, and the company has finally posted an official result for MLPerf 4.1 — for the Llama 2 70B LLM at least.

MLPerf benchmarks show AMD's Instinct GPUs on par with Nvidia's H200. advertisement. ... The fastest system reported in this round of MLPerf was an Nvidia B200 server that delivered 98,443 tokens/s.

Rated horsepower for a compute engine is an interesting intellectual exercise, but it is where the rubber hits the road that really matters. We finally have the first benchmarks from MLCommons, the ...

Nvidia's Blackwell leaves the competition behind, AMD's MI300X makes a good debut and Intel's Xeon 6980P and AMD's Epyc Turin also make a tentative appearance.

AMD’s MI325X chips have proven a match for Nvidia’s H200 chips in the latest machine learning tests. The performance of MI325X chips came within 3% to 7% of Nvidia’s H200 chips.

Meta’s embrace of AMD’s MI300X makes AMD the prime second source to Nvidia as AI compute demand accelerates. Read why I rate ...

HSBC analysts upgraded their rating on AMD, noting that its latest series of chips can compete with Nvidia’s Blackwell GPUs.

Today, MLCommons announced new results for its industry-standard MLPerf Inference v4.1 benchmark suite, which delivers machine learning (ML) system performance benchmarking in an architecture-neutral, ...

AMD has not yet published MLPerf test results for AI training runs, but these are expected in the fourth quarter. AMD has been selling the MI300X to hyperscalers and cloud builders for AI ...