{"slug": "technical-dive-into-amd-mlperf-inference-v6-1-submission", "title": "Technical Dive into AMD MLPerf Inference v6.1 Submission", "summary": "AMD reported leadership scores and expanded benchmark coverage in MLPerf Inference v6.1, whose results were released on September 16, 2026. AMD and its partners submitted validated results across dlrm-v3, llama2-70b, gpt-oss-120b, deepseek-r1, and Wan 2.2-t2v, with single-node runs using 8 GPUs per node and gpt-oss-120b also submitted at multi-node scale across 72 AMD Instinct MI355X GPUs. All results passed MLPerf peer review.", "body_md": "MLPerf Inference v6.1 results were released on September 16, 2026. For AMD, this was a highly successful round in which we achieved several leadership scores, expanded benchmark coverage, introduced a new GPU with validated performance, and enabled record-setting results from our partners. In this round, AMD and its partners provided validated results across a diverse set of workloads, including dlrm-v3 (Deep Learning Recommendation Model v3), llama2-70b (Meta’s 70-billion-parameter language model), gpt-oss-120b (an open-weight 120-billion-parameter Mixture-of-Experts model), deepseek-r1 (DeepseekAI’s 671-billion-parameter Mixture-of-Experts model), and Wan 2.2-t2v (a 14-billion-parameter text-to-video generation model). Single-node results used 8 GPUs per node; gpt-oss-120b was additionally submitted at multi-node scale across 72 AMD Instinct<sup>™</sup> MI355X GPUs. All results were validated through MLPerf peer review.", "url": "https://wpnews.pro/news/technical-dive-into-amd-mlperf-inference-v6-1-submission", "canonical_source": "https://rocm.blogs.amd.com/artificial-intelligence/mlperf-inf-v6.1/README.html", "published_at": "2026-09-17 00:00:00+00:00", "updated_at": "2026-09-17 19:25:50.059659+00:00", "lang": "en", "topics": ["machine-learning", "ai-chips", "ai-infrastructure", "large-language-models"], "entities": ["AMD", "MLPerf Inference v6.1", "AMD Instinct MI355X", "dlrm-v3", "llama2-70b", "gpt-oss-120b", "deepseek-r1", "Wan 2.2-t2v"], "alternates": {"html": "https://wpnews.pro/news/technical-dive-into-amd-mlperf-inference-v6-1-submission", "markdown": "https://wpnews.pro/news/technical-dive-into-amd-mlperf-inference-v6-1-submission.md", "text": "https://wpnews.pro/news/technical-dive-into-amd-mlperf-inference-v6-1-submission.txt", "jsonld": "https://wpnews.pro/news/technical-dive-into-amd-mlperf-inference-v6-1-submission.jsonld"}}