@NVIDIAAI
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Teaching your AI new tricks.
Santa Clara, CA
Joined June 2016
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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
NVIDIA AI retweeted
Our CEO Jensen Huang is LIVE at #NVIDIAGTC Berlin.
Watch the keynote now ⬇️ youtube.com/live/PvFjbPYEOZI…
Doors just opened - countdown is on! Watch the live pre-note youtube.com/live/PrA_ayyy22E…
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
NVIDIA AI retweeted
Qwen3.8-Flash-Next and GLM-5.3-Flash, optimized for local AI. ⚡️
NVIDIA’s FP4-Local checkpoints reduce memory requirements, giving you more room for agents and longer context on DGX Spark and RTX PRO 6000 Blackwell systems.
Explore the NVIDIA Local AI Optimized Checkpoints collection: huggingface.co/collections/n…
@Alibaba_Qwen @Zai_org
