Teaching your AI new tricks.
Santa Clara, CA
Joined June 2016
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From autonomous vehicles to smarter factories, companies are putting physical AI to work.
We’ve added new NVIDIA Cosmos tools to help developers generate training data, train world models and test them before deployment.
See how @Porsche, @MercedesBenz, @encord_team, @Siemens, @fogsphere, and @ltx_io are using Cosmos across robotics, autonomous driving and factory operations 👇
Catch up on the latest from GTC Berlin:
See what's new with NVIDIA Cosmos, including work from @ADNOCGroup, @microagi, @roboflow, and @ultralytics → nvda.ws/4zBcceU
And the latest industrial AI announcements → nvda.ws/3VRj4Gs
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: research.nvidia.com/labs/nem…
As always, NVIDIA Nemotron 3.5 Bolt E4B 4GB is open and customizable. This includes weights, data and recipes.
Available now on @huggingface → huggingface.co/nvidia/NVIDIA…
Nemotron 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. 🧵
NVIDIA AI retweeted
Congrats @MiniMax_AI on dropping MiniMax M3.1 Flash 428B, built for everyday coding and agents. 🙌
In the first-ever Day 0 support, NVIDIA Vera Rubin delivers excellent out-of-the-box performance:
✔️ High throughput of up to 200K TPS/GPU
✔️ Fast interactivity with more than 700 TPS/user
Download the NVFP4 checkpoints from @huggingface: huggingface.co/MiniMaxAI/Min… or try it instantly: nvda.ws/3VYpjZ3
MiniMax 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:
huggingface.co/MiniMaxAI/Min…
ModelScope:
modelscope.cn/models/MiniMax…
API: platform.minimax.io
M Plan: minimax.io/m-planMiniMax
MCode for desktop: agent.minimax.io/download
GTC Dev Community Berlin Recap: From Open Models to Physical AI xitter.cf/i/broadcasts/1DxleVyYn…
We 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.
We 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. benchling.com/blog/building-…
GTC Berlin After Hours: Keynote Reactions & What’s Next for Developers xitter.cf/i/broadcasts/1pKkOXlaz…
NVIDIA AI retweeted
That's a wrap on the #NVIDIAGTC Berlin keynote. 💚
ICYMI, watch the replay: youtube.com/live/PvFjbPYEOZI
Europe’s industrial future is taking shape at GTC Berlin.
With our CUDA-X and Omniverse libraries, plus Cosmos and Nemotron open models and tools, Europe’s industrial leaders are testing designs faster, simulating robots and improving factory operations.
Learn how Agile Robots, @Audi, @Dassault3DS, Schaeffler and @Siemens are putting these technologies to work: nvda.ws/4BnYgGT
The innovation extends across Europe’s industrial ecosystem.
@autodesk, @AVEVAGroup, @Cadence, Falkor, @MercedesBenz and @Synopsys are also putting our technology to work, from faster design simulations to vehicle inspection and AI factory digital twins.
Read their stories in the blog above. 👆
AI agents need to know your business to be useful.
At GTC Berlin, we’re adding NVIDIA Agent Knowledge Foundation to NVIDIA Agent Toolkit. It helps agents find relevant information, make predictions and help people decide what to do next.
OpenShell gives teams control over what agents can access and do.
Learn more: nvda.ws/4zJtVRh
