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NVIDIA AI✓

@NVIDIAAI

Teaching your AI new tricks.

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  1. NVIDIA AI✓@NVIDIAAI
    NVIDIA AI
    RT @nvidia: Europe is building its AI future, and we’re all in. From AI factories and AI agents to robotics and healthcare, Jensen took the stage at #NVIDIAGTC Berlin to show how AI is taking shape across the continent. Here's a look back at the highlights:
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  2. NVIDIA AI✓@NVIDIAAI
    Jensen's a black belt now. 🥋
    NVIDIA Newsroom @nvidianewsroom
    The 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.
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  3. NVIDIA Newsroom✓@nvidianewsroom
    The 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.
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    163032729.9K
  4. NVIDIA AI✓@NVIDIAAI
    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 👇
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  5. NVIDIA AI✓@NVIDIAAI
    Posts @NVIDIAAI
    Catch up on the latest from GTC Berlin: See what's new with NVIDIA Cosmos, including work from @ADNOCGroup, @microagi, @roboflow, and @ultralytics → And the latest industrial AI announcements →
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  6. NVIDIA AI✓@NVIDIAAI
    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:
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    1472602.1K287K
  7. NVIDIA AI✓@NVIDIAAI
    Posts @NVIDIAAI
    As always, NVIDIA Nemotron 3.5 Bolt E4B 4GB is open and customizable. This includes weights, data and recipes. Available now on @huggingface →
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  8. NVIDIA AI✓@NVIDIAAI
    Posts @NVIDIAAI
    @huggingface
    Scale Labs @ScaleAILabs
    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. 🧵
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  9. Scale Labs@ScaleAILabs
    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. 🧵
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    443512.1K
  10. NVIDIA AI✓@NVIDIAAI
    NVIDIA AI
    RT @NVIDIAAIInfra: 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: or try it instantly:
    MiniMax (official) @MiniMax_AI
    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: ModelScope: API: M Plan: MCode for desktop:
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  11. MiniMax (official)@MiniMax_AI
    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: ModelScope: API: M Plan: MCode for desktop:
    1752653.9K417K
  12. NVIDIA AI✓@NVIDIAAI
    GTC Dev Community Berlin Recap: From Open Models to Physical AI
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  13. NVIDIA AI✓@NVIDIAAI
    A little NVIDIA booth bling at GTC Berlin 💎💎💎
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    274067441.7K
  14. NVIDIA AI✓@NVIDIAAI
    Big shoutout to all of our partners for making Nemotron 3.5 Super VL their own through post-training 🙌 Here’s what they’ve built 🧵
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    347466961.6K
  15. NVIDIA AI✓@NVIDIAAI
    Posts @NVIDIAAI
    Jackson Stokes @jackson_stokes
    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.
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  16. Jackson Stokes✓@jackson_stokes
    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.
    Download
    35487.9K
  17. NVIDIA AI✓@NVIDIAAI
    Posts @NVIDIAAI
    Benchling @benchling
    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.
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  18. Benchling✓@benchling
    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.
    Download
    0142.8K
  19. NVIDIA AI✓@NVIDIAAI
    GTC Berlin After Hours: Keynote Reactions & What’s Next for Developers
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  21. NVIDIA AI✓@NVIDIAAI
    "There's no question everybody will become an AI company and we're going to have a thriving AI economy here in Europe."
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    1323032.6K116K
  24. NVIDIA AI✓@NVIDIAAI
    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:
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    233627117.3K
  25. NVIDIA AI✓@NVIDIAAI
    Posts @NVIDIAAI
    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. 👆
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  26. NVIDIA AI✓@NVIDIAAI
    NVIDIA AI
    RT @nvidia: Jensen introduces the OpenShell Reference Architecture to help businesses set boundaries for AI agents and stop them when they step outside those boundaries. Securing agents around the world. 🔒
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