Explore MLPerf Inference v6.0 results yourself. Filter by benchmark, system, and scenario to see how the latest hardware stacks up in our interactive dashboard. 📊 https://bit.ly/3PLbCJR #MLPerf #AI #Benchmarking #Inference

The AILuminate Global Assurance Program gives organizations a third-party path to evaluate AI safety - built on the most comprehensive open AI safety benchmark available. Developed with Google, Microsoft, Qualcomm, and KPMG. https://bit.ly/4kIS18x

When choosing an AI service, you need to know what it can actually deliver under real conditions. MLPerf Endpoints benchmarks verified operating points only, reproducible results that you can compare directly against latency and throughput requirements. https://bit.ly/4ss4ekm

MLCommons took a different approach to jailbreak tests - publishing a mechanism-first taxonomy for single-turn jailbreak evaluation that's reproducible, governance-aligned, and built for real-world AI deployment. https://bit.ly/3ZCHqlZ

MLPerf Inference v6.0 includes the industry's first standardized benchmark for text-to-video generation - a major milestone for measuring generative AI at scale. The models are getting creative. Now we can measure them. https://bit.ly/4tltslL #MLPerf #TextToVideo

Five new or updated benchmarks. 24 submitting organizations. Industry-first tests for text-to-video and speculative decoding. MLPerf Inference v6.0 is our most significant update yet - and it's live. https://mlcommons.org/2026/04/mlperf-inference-v6-0-results/

Why do benchmarks matter? https://bit.ly/47JlDgM

MLPerf Client v1.6 is out - runtime updates for Windows ML, llama.cpp, and Apple MLX, plus GUI improvements for faster, smoother benchmarking on Windows, Mac, and iPad. https://bit.ly/419SyHI #MLPerf #AIBenchmarking

On April 16, MLCommons' David Kanter speaks at @9Zero's first AI x Climate meetup in San Francisco - alongside researchers from Artificial Analysis and Purdue - on benchmarking AI for energy usage and environmental impact. Register: https://bit.ly/41a6HVp

We're thrilled to share that MLCommons is joining Partnership on AI! 🚀 Better AI starts with better benchmarks. Together, we'll connect our open engineering community with a global network working toward the same goal: AI systems that are accurate, safe, and accountable. https://bit.ly/4t5usu9

We’re thrilled to announce we’ve joined PartnershipAI, a multi-stakeholder community addressing the most important and difficult questions concerning the future of AI. partnershiponai.org/partnership-... @partnershipai.bsky.social

Want to explore the MLPerf Inference v6.0 results yourself? Dive into our interactive dashboard - filter by benchmark, system, and scenario to see how the latest hardware stacks up. 📊 🔗 https://bit.ly/3PLbCJR #MLPerf #MLCommons #AI #inference

Step functions over trend lines: MLPerf® Endpoints shows only verified operating points. No interpolation. No paper performance. Results you can actually trust. https://bit.ly/3Pjx34u #MLPerf

What's new in MLPerf Inference v6.0? Watch the press briefing for a walkthrough of five new benchmarks, standout results, and what it all means for the future of AI inference. ▶️ 🔗 https://youtu.be/3FdkYZZlhDI #MLPerf #MLCommons #AI #inference

MLPerf Inference v6.0 is here - our most significant benchmark update ever. 5 new & updated benchmarks. 24 submitting organizations. Industry-first tests for text-to-video and speculative decoding. Full results: https://bit.ly/48b8NIj #MLPerf #MLCommons

MLPerf® Endpoints uses Pareto curves to show the full performance trade-off space — not just a single number. Buyers can match results to their own use case. https://bit.ly/4bVlIiD #MLPerf

One day out. MLPerf Inference v6.0 launches tomorrow, April 1. Why this one's different: new benchmarks that reflect where AI is actually headed - text-to-video, speculative decoding, vision-language models, and more. Results drop at 8 AM PDT. #MLPerf #MLCommons #AI

MLPerf Mobile is now available Apple iOS and Google Play Store. From your phone or tablet, test real-world ML performance across image classification, language understanding, super resolution, and text-to-image generation. Apple: https://apple.co/4uGhvIa Android: https://bit.ly/3NzTaTP

AI agents need datasets that describe themselves. Croissant 1.1 adds machine-actionable provenance, vocabulary interoperability, and embedded governance to 700K+ ML datasets. The agent-ready data standard is here: https://bit.ly/3NZk5bK #Croissant #MLCommons

MLPerf Inference v6.0 drops next Wednesday. New benchmarks for text-to-video, speculative decoding, and VLMs. Are you ready? #MLPerf

#MLPerf Inference v6.0 adds two LLM benchmarks: GPT-OSS 120B, a new open-weight MoE model benchmark covering math, coding & science reasoning, plus a DeepSeek-R1 interactive scenario — the first #MLPerf standard for speculative decoding. https://bit.ly/4m19oCl

AI safety certification shouldn't be a self-assessment. The AILuminate™ Global Assurance Program from MLCommons gives organizations rigorous, independent validation — built on the open AILuminate safety benchmark. https://bit.ly/4kIS18x

GenAI inference doesn't behave like classical ML. MLPerf® Endpoints is being designed to benchmark the full complexity of production GenAI services — not just peak numbers. https://mlcommons.org/2026/03/mlperf-endpoints-gen-ai-benchmarking/ #MLPerf #AIBenchmarking

MLPerf Endpoints: an API-centric approach to GenAI benchmarking designed for production reality. -Decoupled client architecture -Pareto curves w/ step functions-verified points only -Rolling submissions Q2-26 Early demo results: AMD, Google, Intel, KRAI, NVIDIA https://bit.ly/3Pjx34u

It’s today! 🎤 David Kanter is on stage at #GTC2026 in just a few hours — MLPerf Endpoints, the API-centric way to benchmark any Gen AI system. 📅 12–12:40 PM · San Jose Convention Center 🔗 https://bit.ly/4l5p8Uh #MLPerf #MLCommons

Tomorrow at #GTC2026 — David Kanter on MLPerf Endpoints. ✅ Any API, any system ✅ Standardized Pareto curves ✅ Rolling submissions ✅ Transparent & reproducible 📅 March 19 · 12–12:40 PM · San Jose 🔗 https://bit.ly/4l5p8Uh #MLPerf #MLCommons

🎉 MLPerf Mobile is now on the iOS App Store! Run industry-standard ML benchmarks right from your iPhone. See how your device performs — download it now 📲 https://apple.co/4bvbfdI #MLPerf #AI #MachineLearning

Enterprise buyers, infra providers, model developers — all need AI benchmarks they can trust. MLPerf Endpoints: standardized Pareto curves, rolling submissions, transparent results. David Kanter at #GTC2026 · Thursday · 12–12:40 PM · San Jose 🔗 https://bit.ly/4l5p8Uh #MLPerf #MLCommons

#GTC2026 is live! 🎉 Join us Thursday when David Kanter presents MLPerf Endpoints — API-centric benchmarking built for the Gen AI era. 📅 March 19 · 12–12:40 PM · San Jose 🔗 https://www.nvidia.com/gtc/session-catalog/sessions/gtc26-s82276/ #MLPerf #MLCommons #NVIDIA

How do you benchmark an AI system you can’t look inside? MLPerf Endpoints: any system, any cloud, any model — one methodology. David Kanter at #GTC2026 · March 19 · 12–12:40 PM · San Jose 🔗 https://www.nvidia.com/gtc/session-catalog/sessions/gtc26-s82276/ #MLPerf #MLCommons

AI safety benchmarks built on Western data miss how risk actually looks across cultures. MLCommons is fixing that — 7,000+ multimodal prompts from APAC, built with regional experts from Singapore, India, and Korea. mlcommons.org/2026/03/airr... #MLCommons #AILuminate #MultimodalAI

🎤 David Kanter is speaking at #GTC2026! "If It Has an API, We Can Measure It: MLPerf Enters the Gen AI Era" 📅 March 19 · 12–12:40 PM · San Jose Convention Center 🔗 https://bit.ly/4l5p8Uh #MLPerf #MLCommons #GenAI

YOLOv11 replaces RetinaNet in the MLPerf Inference v6.0 edge suite — higher accuracy, fewer parameters, and a better stress test for real-world hardware. Here's how the MLCommons built the new benchmark. https://mlcommons.org/2026/03/yolo-inference/

Big update for federated clinical AI: MLCommons MedPerf now integrates Apache Airflow for modular, resumable data prep pipelines. Study coordinators can build workflows with a single YAML file. Already live in the FL-PoST study. 🏥 https://bit.ly/47osagC #HealthcareAI

AI-generated video has moved from curiosity to creative workflow. Now it has a standardized benchmark. New from MLCommons: the first MLPerf Inference text-to-video task — here's how we built it and why the design choices matter. mlcommons.org/2026/03/text...

125+ members. Safety, inference, training, storage, automotive benchmarks & more. MLCommons exists because neutral AI measurement standards require a community. Get involved: mlcommons.org/get-involved/ #MLCommons

Results day is coming. MLPerf Inference v6.0 drops April 1 — cross-platform AI inference data spanning datacenter, edge & more. Follow so you don't miss it. #MLPerf #AIInference

AI benchmarking is moving to the API layer. MLCommons Co-Founder David Kanter presents MLPerf Endpoints at NVIDIA GTC on March 19, 12–12:40 PM PT. Worth attending if you're making decisions about AI infrastructure. https://bit.ly/4l5p8Uh #GTC2026 #MLCommons

AI risk assessment now has a global standard. The MLCommons AILuminate Global Assurance Program gives organizations a structured, independent path to evaluate AI reliability. 🔗https://mlcommons.org/2026/02/ailuminate-global-assurance/ #AIGovernance #AILuminate

How do you make jailbreak benchmarks defensible to auditors? MLCommons just published a mechanism-first taxonomy for reproducible, governance-aligned LLM robustness evaluation. Not a leaderboard — the foundation for trustworthy ones. 🔗 https://bit.ly/3ZCHqlZ #AILuminate

Last week, Rebecca Weiss announced the AILuminate Global Assurance Program from the stage of a global AI standards panel in New Delhi. Read about the program and watch the panel below. 📖 https://bit.ly/4kIS18x ▶️ https://bit.ly/46nDtp3 #AIImpactSummit #MLCommons #AILuminate

2026 Rising Star applications are open! The ML and Systems Rising Stars program is open to all graduate students and postdoctoral associates with research backgrounds/interests in machine learning and systems. Apply now! https://bit.ly/4s4j4h6 Applications Deadline: Wednesday, March 18, 2026

Announcing the AILuminate Global Assurance Program. MLCommons + Google, Microsoft, Qualcomm & KPMG are building a structured framework for AI risk measurement: 🔧 Benchmarking as a Service 🏷️ AILuminate Risk Labels 🌍 A Global Framework https://bit.ly/4kIS18x

Microsoft is co-leading the expansion of MLCommons' AILuminate benchmark to Hindi, Tamil, Malay, Japanese & Korean -AI safety evals built from the ground up in local linguistic and cultural contexts. blogs.microsoft.com/on-the-issues/2026/02/17/acting-with-urgency-to-address-the-growing-ai-divide/

Friday at #AIImpactSummitIndia — who controls AI matters as much as who can access it. #MLCommons' Peter Mattson joins The Alan Turing Institute, Microsoft, Gates Foundation, GoI & more for "Trustworthy AI for All." 🕥 10:30–11:30 AM IST | Bharat Mandapam ▶️ https://bit.ly/40jS0OQ #TrustworthyAI

Attending #AIImpactSummitIndia? Come find us! 👋 Feb 20: 10:30 AM IST – Peter Mattson: Trustworthy AI for All ▶️ https://bit.ly/40jS0OQ 12:30 PM IST – Rebecca Weiss: Standards as Strategy ▶️ https://bit.ly/4kHum8h We'd love to connect! DM us or reply below!

Feb 20 at #AIImpactSummit: MLCommons' Rebecca Weiss joins leaders from OpenAI, Google DeepMind, Microsoft & more for "Standards as Strategy: Accelerating AI Market Growth." 🕧 12:30–1:30 PM IST | Sushma Swaraj Bhawan ▶️ https://bit.ly/4kHum8h

Shalaleh Rismani: Safety Is a Systems Problem: Understanding and Evaluating AI in Context Her core argument: We evaluate AI models in lab conditions, then wonder why things go wrong in deployment. But safety isn't about the model in isolation - it's about the model in context. https://bit.ly/4kHtKzv

Most jailbreak testing is ad hoc — informal attack sets, inconsistent classification, and hard to defend to auditors. New from MLCommons: a mechanism-first taxonomy for single-turn prompt attacks that enables deterministic, reproducible, and governance-ready evaluation. https://bit.ly/3ZCHqlZ

⏰ 2 DAYS LEFT MLPerf Inference v6.0 submissions close Friday, 2/13. New: -Qwen3-VL + Shopify (VLM, e-commerce scale) -DLRMv3 (generative recommendations, 1TB) -And much more! Hardware vendors, cloud providers: submit your results → https://bit.ly/40bMEoI