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MLPerf Inference v6.1 Press Briefing Q3 2026

MLCommons

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MLPerf Inference v6.1 Press Briefing Q3 2026

83 просмотра · 9 дней назад
MLCommons
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83 просмотра · 9 дней назад
On September 10, 2026, MLCommons held the press briefing for MLPerf Inference v6.1. David Kanter (MLCommons founder and Head of MLPerf), Miro Hodak (Inference WG co-chair), Ramesh Chukka (End-to-End RAG task force chair), and Palanivel Guruva Reddiar (Agentic Edge Inference task force chair) presented the latest results and introduced two new benchmarks. Highlights: 486 datacenter and edge results from 30 organizations gpt-oss-120b is the most popular workload in MLPerf history First End-to-End RAG benchmark - real-world retrieval pipelines First Agentic Edge Inference benchmark - on-device agentic AI 2.7X-5.7X per-accelerator gains in one year Cisco's first cross-vendor submission (NVIDIA + AMD) Crusoe's 512-accelerator run, the largest ever NVIDIA Vera Rubin NVL72 preview debut Results: https://mlcommons.org/visualizer Datacenter: https://mlcommons.org/benchmarks/infe... Edge: https://mlcommons.org/benchmarks/infe... #MLPerf #MLCommons #AI #MachineLearning #Benchmarks #Inference #LLM #RAG #AgenticAI