MLPerf Inference v6.1 introduces benchmarks for real-world AI pipelines and agent coding.

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MLCommons released new AI performance benchmarks on September 16. The MLPerf Inference v6.1 suite includes two tests for complex AI systems. One evaluates end-to-end retrieval-augmented generation (RAG) pipelines, which combine multiple models. The other measures the performance of AI coding agents by replaying 1,007 real interaction turns. These benchmarks aim to reflect how AI is actually deployed, moving beyond single-model speed tests.

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