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
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
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
Four cities. One clear message: Europe is building what’s next in AI.
Tomorrow, Jensen takes the stage at #NVIDIAGTC Berlin to continue the conversation.
See you there.
NVIDIA 💚 PyTorch since day 0.
Cheers to building AI together, from early research to one of the fastest-growing deep learning frameworks.
50+ million monthly downloads with CUDA support.
Join us at @PyTorch Conference North America 2026 this week!
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.
Can’t make it to #NVIDIAGTC Berlin? We’ve got you covered. 🎙
Join us for 3 days of livestreams covering the biggest moments of the week, from the keynote recap to real-world AI demos and developer stories straight from Berlin. Add the following streams to your calendar:
→ Mon, Oct 19 | Road to GTC: Europe Recap nvda.ws/3U61a1U
→ Wed, Oct 21 | GTC Berlin Day 1: Keynote Recap nvda.ws/4yOS9JN
→ Thu, Oct 22 | GTC Berlin Day 2: Inside the Experience nvda.ws/4zwMesL
Already running a model endpoint? What does it take to scale it on Kubernetes?
In five minutes, we walk through how NVIDIA Dynamo handles deployment with scalable workers and an OpenAI-compatible endpoint.
Watch below:
That's a wrap on Build-A-Claw Berlin!
And we of course served @lobsterlager. A father/son duo used @openclaw to make a lager.
Thank you to everyone who stopped by and we're looking forward to an amazing week at @NVIDIAGTC Berlin.
Building safer AI agents takes more than model safeguards.
@perplexity_ai open sourced SPACE, the agent sandbox platform behind Computer, giving developers more control over where agents run code and what they can access.
Cheers to more teams open-sourcing tools to build safer autonomous AI agents.
We're open sourcing SPACE, the sandbox platform that runs every task in Perplexity Computer.
SPACE gives each agent task its own Firecracker microVM and controls credentials and outbound traffic from outside the VM.
Available now under Apache 2.0: github.com/perplexityai/SPAC…