Introducing Cosmos 3: Our latest frontier model for Physical AI
Cosmos 3 is the world’s first fully open omnimodel with native vision reasoning, world and action generation.
Today we’re releasing Super (32B) and Nano (8B) variants.
OpenShell v0.0.55
🧩 Google Vertex AI inference provider
🔒 Profile-backed policy visibility
🐳 Better Podman detection in the gateway
🖥️ Restored GPU procfs baseline behavior
🔧 CI and docs fixes
Run agents against Vertex AI, with improved policy visibility and more reliable Podman and GPU sandbox behavior.
https://t.co/TRlhGwfF8D
We have worked with @nvidia to integrate their official Agent Skills catalog into the Hermes Skills Hub.
These skills teach your agent how to use CUDA-X libraries, Omniverse and Physical AI workflows, NeMo training and inference tools, and other platform components.
From unboxing to AI agent in minutes.
Getting an agent running used to mean sourcing a model, configuring an inference backend, installing a runtime, and wiring it all together. The new NemoClaw install path on DGX Spark replaces that with a single command.
DGX Spark also simplifies the path to local, long-running AI agents, cutting out external cloud dependencies and providing predictable on-premise compute.
Teach an agent a workflow once. Have it remember after every rebuild.
This tutorial shows how to deploy @nousresearch Hermes Agent with NVIDIA NemoClaw and OpenShell, connect it to Slack, Outlook, GitHub, and NVIDIA developer forums, then turn a chat correction into a reusable skill.
Private data stays behind runtime policies. Learned skills persist across deployments.