@NVIDIAAI
Teaching your AI new tricks.
Mistral AI @MistralAIToday, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis. 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others. Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it. Read more from our team and customers 👇:
SGLang @sgl_projectSGLang has Day-0 support for Mistral Large 4 (Le Chonk), and is the first to serve it on NVIDIA Vera Rubin! Le Chonk is Mistral's largest model to date: a natively multimodal 1T MoE that unifies instruct, reasoning, coding, and agentic workflows. SOTA among open weights for security work, with strong document understanding and a 1M context window. Vera Rubin, NVFP4, and DSpark speculative decoding all supported on Day 0.
Mistral AI @MistralAIToday, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis. 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others. Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it. Read more from our team and customers 👇:
Scale Labs @ScaleAILabsNemotron 3.5 Bolt E4B 4GB from @NVIDIAAI is the 🥇small language model on MultiChallenge, scoring 56.03% and finishing 12.8 points clear of Gemma 4 E4B (43.2%). MultiChallenge tests how well models hold up across realistic multi-turn conversations, from remembering details a user mentioned earlier to following instructions set at the start of a chat. Where Bolt E4B pulls ahead says a lot about where small models are improving. 🧵
Benchling @benchlingWe teamed up with @NVIDIAAI to post-train Nemotron 3.5 Super VL on scientific protocol data. It outperformed comparable closed models in troubleshooting and optimizing lab experiments, at a remarkably low cost, representing a promising path for R&D teams to build specialized intelligence they can customize and improve over time with their own data.
MiniMax (official) @MiniMax_AIMiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token. Agentic performance: A generational leap in agentic tasks, coding, and cybersecurity — 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82.2 on CyberGym. Efficient by design: MiniMax Sparse Attention and DSpark speculative decoding improve inference efficiency. Hugging Face: ModelScope: API: M Plan: MCode for desktop:
vLLM @vllm_projectRun it today with NeMo Speech's vLLM 0.32.0 plugin, OpenAI-compatible chat completions and MTP speculative decoding. Deployment guide:
Jackson Stokes @jackson_stokesWe partnered with @nvidia, @nollahealth, and @nebiusai to post train Nemotron 3.5 VL Super far past the frontier on dermatology diagnosis. The model set new standards in our internal measures of trainability, and with Nolla it's powering the future of AI in medical care.
SGLang @sgl_projectNemotron 3.5 Transcribe runs on SGLang-Omni from day 0 🎙️ 30B MoE, ~4B active, 40-language transcription served through /v1/audio/transcriptions endpoint, with streaming and custom prompts. Serve it today:
NVIDIA AI @NVIDIAAIMeet NVIDIA Nemotron 3.5 Transcribe 🎙️ An open-weight, promptable 30B MoE model with ~4B active parameters that brings transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding into one checkpoint. Watch it keep track of who said what when everyone’s talking at once. 1/ 🧵
NVIDIA Newsroom @nvidianewsroomThe black leather jacket wasn't the final form. 🥋 @JensenHuang was awarded an honorary black belt by the International @Judo Federation, recognizing his leadership and the shared values of judo and innovation: perseverance, respect, and continuous improvement.
Pollen Robotics @pollenroboticsMicroducks on stage for Jensen Huang’s famous keynote! We couldn’t be prouder of our little ones. 🥹
