{"data":{"slug":"mlperf","etype":"benchmark","name":"MLPerf","cat":"Hardware","subtitle":"The industry's referee for AI hardware — training and inference rounds.","summary":"MLCommons' MLPerf benchmarks run standardized workloads (LLM pre-training, fine-tuning, inference serving) on submitted systems, producing the only audited apples-to-apples numbers across NVIDIA, AMD, Intel, Google and others. Vendors' marketing decks cite peak FLOPS; buyers read MLPerf. Absences speak too — chips that never submit usually have reasons.","attrs":null,"kf":null,"aliases":["MLCommons","MLPerf Training","MLPerf Inference"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://mlcommons.org/benchmarks/","label":"MLCommons"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T06:34:11+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}