MLCommons
@MLCommons
Better Artificial Intelligence for Everyone
Great insights from @DavidKanter of @MLCommons on how MLPerf measures AI data storage performance. 🔜 MLPerf Storage v2.0 drops 8/4! #MLPerf #AI #DataStorage #MLCommons
AI runs on data, but storage sets the speed limit 🏎️ MLCommons built a benchmark to test storage for real AI training. The verdict? Speed, energy, and where your data lives matter. Tune in for yourself: ntnx.com/4lyFfbR #NutanixForecast
🥐 Summer of Workflows: Release #1 is here! Introducing Workflow #1: Croissant Ingestion A ready-to-run tool that ingests multimodal datasets directly into @ApertureData’s database from any @MLCommons Croissant URL. Try: shorturl.at/GW0W4
We're all about acceleration! 😉 Watch @KasimbegPriya & @frankstefansch1 speedrun an explanation of the AlgoPerf benchmark, rules, and results all within a tight 5 minutes for our #ICLR2025 paper video on "Accelerating Neural Network Training". See you in Singapore!
📰 #InTheNews @nasscom calls for a new tier of trust for #AgenticAI in India. @ankitthe1 says risks go beyond hallucinations—prompt injection, tool misuse & more; highlights working with @MLCommons to set India-specific safety benchmarks. #NasscomAI @annapurnarET @EconomicTimes
Join @MLCommons for a social at @FAccTConference 2025, where we're tackling the critical need for a unified and collective approach to AI safety. AI safety research is siloed, hindering the development of safe and robust AI systems that work for everyone.
Companies are deploying AI tools that haven't been pressure-tested, and it's already backfiring. In her new op-ed, our President, Rebecca Weiss, discusses how industry-led AI reliability standards can help executives avoid costly, high-profile failures. 📖 More:…
Latest: Reworking chip grants; global semi, equipment sales; GF’s $16B; Arm’s AI vehicles; Mexico’s push; DRAM/DDR4; AI-RF design; MLPerf results; rare earths slow autos; BEOL thermal resistance in BPD, chiplets; CPO power & more semiengineering.com/chip-industry-… #semiconductor #semiEDA
Congratulations to the whole #MLPerf team! It’s a great day with new submitters @AMD @IBM @nebiusai and @scitix - kudos on your fantastic results. I’m thrilled to see >2X performance gains on generative AI workloads and over 200 results. Way to make AI better for everyone!
1/ The @MLCommons @MLPerf Training v5.0 results are here—Let’s have a fresh look at the state of large-scale AI training! This round set a new record: 201 performance results from across the industry. 🔗mlcommons.org/2025/06/mlperf…
Call for Submissions! #MLCommons & @AVCConsortium are accepting submissions for the #MLPerf Automotive Benchmark Suite! Help drive fair comparisons & optimize AI systems in vehicles. Focus is on camera sensor perception. 📅 Submissions close June 13th, 2025 Join:…
MLCommons and @NASSCOM are partnering to advance research-driven, globally relevant benchmarks for AI reliability. This collaboration will facilitate the development of India-specific and Hindi-language evaluations, supporting rigorous, inclusive standards for the broader AI…
