Benchmarks should reflect real-world performance. That’s why we’re excited to share that Nemotron 3 Super has topped the open source category on the EnterpriseOps-Gym leaderboard. This agentic gauntlet evaluates performance across 1,150 tasks in fully interactive environments
@nvidiaai
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OpenShell Open-Source Sandbox Makes AI Agents Safe for Enterprises
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We created OpenShell to make AI agents safe for enterprises.
— NVIDIA AI (@NVIDIAAI) 1 mai 2026
Built in open source so any company can adopt and trust it, this secure sandbox controls what agents can access, share, and send.
Our CEO, Jensen, explains 👇 pic.twitter.com/7EiIsxr0CGWe created OpenShell to make AI agents safe for enterprises. Built in open source so any company can adopt and trust it, this secure sandbox controls what agents can access, share, and send. Our CEO, Jensen, explains
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Speculative Decoding Accelerates RL Rollouts 2.5x in NeMo-RL
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RL post-training is hitting a rollout bottleneck. This new paper from #NVIDIAResearch shows how speculative decoding in NeMo-RL + @vllm_project can accelerate rollouts losslessly, with 1.8x higher throughput at 8B and projected 2.5x end-to-end speedup at 235B. Read the full
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NemoClaw and Higgsfield MCP Enable Image and Video Generation from Agents
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NemoClaw + Higgsfield MCP = image and video generation right from your agent. Love seeing this workflow come together.
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Community Helps Make OpenClaw Safer: Use Cases Explored
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Great post from @steipete on how the community helped make @OpenClaw safer. Curious how people are using Claws in the wild. What use cases are you running?
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SGLang Achieves 180 tok/s/GPU on DeepSeek-V4 with Blackwell Optimizations
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SGLang is hitting 180 tok/s/GPU on DeepSeek-V4 decode with ~1M context on Blackwell. Good to see fast progress in open source DeepSeek-V4 inference on new hardware. This comes from Blackwell-specific optimizations by @lmsysorg that better use the model’s hybrid sparse
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NVIDIA NeMo Virtual Learning Series for Students and Researchers
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If you're a student, professor, or researcher—this one's for you. We’re hosting a series of virtual learnings for you to get hands-on experience with the NVIDIA NemoClaw and OpenShell software stack. You’ll get practical guidance on integrating agents with academic datasets and
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Researchers Sought for Cosmos World Models Team
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Attn researchers working on world models… come work with Ming-Yu’s Cosmos team
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NeMo-Automodel: Step-by-Step Guide to Train Your Own Model
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Stop waiting to train your own model. NeMo-Automodel has a step-by-step guide. Go try it
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Mistral Launches Medium 3.5: 128B Dense Model with Vision
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Congrats to the @MistralAI team on launching Mistral Medium 3.5! This new single 128B dense text-vision model merges instruction-following, reasoning, and coding. Plus, it scored 77.6% on SWE-Bench Verified. The best models run on NVIDIA. Try it out today on