NVIDIA AI

Engineer-to-engineer collabs are the best 🙌 Congrats to @AIatMeta on Muse Realtime Avatar! We worked with their team to make the model more efficient so the avatar can keep up when you talk to it.

Congrats to the OpenClaw community on OpenClaw Enterprise! 🦞 Organizations can use NVIDIA OpenShell as an open source option for governing agents with OpenClaw Enterprise. Glad to keep working with the community to make agents safer.

AI agents need clear limits on what they can do, and those limits need to hold up while they’re working. @JensenHuang was on CNBC this morning to talk about the safety measures we’re building to help make that happen. 🎥 from @SquawkCNBC:

Agents can run for days, calling tools, hitting errors, and trying again. The security policy has to keep working through all of that. NVIDIA OpenShell enforces it while the agent runs. Teams can add NVIDIA Sentry on BlueField-4 for independent monitoring and enforcement.

Huge congrats to the Kumo team 🙌 A new open foundation model for tabular data.

A video world model can make a convincing clip and still get the physics wrong. Our researchers just released Physis-Lang, an open self-evolving framework that adds physics reasoning to video captions. The captions explain why and how a scene unfolds. We use them to fine-tune world models and add that reasoning to prompts when generating video. Adding physics reasoning to the prompt alone improved NVIDIA Cosmos 3’s PhyGenBench score by 5.62 points without retraining. Paper and project: https://physis-intelligence.github.io/physis-lang-web/

Local AI: Running Nemotron on DGX Spark & Station | Nemotron Labs https://x.com/i/broadcasts/1RKZzBOEWMNKB

How a Small Korean Team Hit a Top 5 AA II Score in open model | Nemotron Labs https://x.com/i/broadcasts/1XxygwaaApbGM

Welcome Beam! Congrats to @ReflectionAI on launching their first open-weight model. The 501B MoE model was trained on NVIDIA GB300 NVL72 and delivers over 70K tokens/sec/GPU on Blackwell Ultra out of the box on day 0. 🤗 Beam 1.0 NVFP4 checkpoint on @huggingface: https://huggingface.co/reflection/Beam-1.0-501B-A23B-NVFP4

Meet 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/ 🧵

Barcelona showed up ready to build 🦞. The road to #NVIDIAGTC Berlin is officially underway.

Available now: NVIDIA Nemotron 3.5 Bolt E4B 4GB ⚡️ Our newest small open model is built for local assistants, interactive characters and robots that can carry on a conversation and use tools to get things done. Watch Reachy Mini chat and move, with Bolt handling conversation and NVIDIA Cosmos handling vision. Both models run locally on Jetson Orin Nano 8GB. Learn more: https://research.nvidia.com/labs/nemotron/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB/