
@NVIDIAAIi
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Teaching your AI new tricks.
Santa Clara, CA
Joined June 2016
- Tweets14K
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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
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
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
Our CEO Jensen Huang is LIVE at #NVIDIAGTC Berlin.
Watch the keynote now ⬇️ youtube.com/live/PvFjbPYEOZI…
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















