Meet NVIDIA Nemotron 3.5 Super VL
Our new open model combines reasoning and tool use with text, image, document, and video understanding for long-running AI agents.
120B total parameters with 12B active 🧵
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: https://t.co/DzSmq6o1xA
Welcome Beam!
Congrats to @ReflectionAI on launching their first open-weight model.
The 501B MoE model was trained on NVIDIA GB300 NVL72 and delivers over 70K tokens/sec/GPU on Blackwell Ultra out of the box on day 0.
🤗 Beam 1.0 NVFP4 checkpoint on @huggingface: https://t.co/KIKYiobZmL
Beam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners.
We're releasing:
- Weights, tokenizer, and reference implementation
- BF16, FP8 and NVFP4 weights and a DFlash2 drafter
- The open source harness we built and trained Beam on: Mirror CLI
Weights and model card on Hugging Face: https://t.co/tPqWpk9RXL