@NVIDIAAI

Teaching your AI new tricks.

Santa Clara, CA
Joined June 2016
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
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A little NVIDIA booth bling at GTC Berlin 💎💎💎
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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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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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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-…
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NVIDIA AI retweeted
Your full Berlin keynote recap, Eurovision style. 🎤
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"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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💚 @pollenrobotics Microducks!
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NVIDIA AI retweeted
That's a wrap on the #NVIDIAGTC Berlin keynote. 💚 ICYMI, watch the replay: youtube.com/live/PvFjbPYEOZI
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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
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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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NVIDIA AI retweeted
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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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
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"Building agents is not that hard."
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We’re releasing more open models to help teams across Europe build AI with their own data, on infrastructure they control. Announced at GTC Berlin, the models help developers, researchers and enterprises build specialized AI agents, train robots, design proteins and develop quantum computers. See what’s new: nvda.ws/4iwBMvF
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AI agents need fast tool calls and security controls they can’t rewrite. NVIDIA OpenShell Reference Architecture combines the compute to run agents at scale with runtime controls that govern their access to tools and data. See how the hardware and software work together: nvda.ws/4BiJBfY
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📈📈📈
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Doors just opened - countdown is on! Watch the live pre-note youtube.com/live/PrA_ayyy22E…
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We’re working with the European Broadcasting Union and @Adobe to help media teams keep control of their data and find the footage they need faster. With the EBU, we’re building on sovereign AI standards so broadcasters can use AI while keeping control of their data and protecting editorial independence. Adobe is using our GPUs to make Frame.io video search faster, helping TV and film producers find a specific scene in years of footage. Read about both announcements from GTC Berlin: nvda.ws/4sheBsJ
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