NEWS · CODING · #2832
NVIDIA publishes NemoClaw blueprints to assemble secure, optimized agent stacks
NVIDIA introduced NemoClaw, a collection of open blueprints that assemble a full-stack agent platform by combining tuned agent harnesses, Nemotron models, NeMo optimization tools (including NeMo Relay), and the OpenShell secure runtime. The blueprints support OpenClaw, Hermes Agent, and LangChain Deep Agents, include a LangChain-tuned Nemotron 3 Ultra profile (near-frontier performance at about 10x lower cost per run), and provide GitHub examples, a quickstart, and a DLI course.
KEY POINTS
- NVIDIA introduced NemoClaw, a collection of open blueprints that assemble a full-stack agent platform by combining tuned agent harnesses, Nemotron models, NeMo optimization tools (including NeMo Relay), and the OpenShell secure runtime.
- The blueprints support OpenClaw, Hermes Agent, and LangChain Deep Agents, include a LangChain-tuned Nemotron 3 Ultra profile (near-frontier performance at about 10x lower cost per run), and provide GitHub examples, a quickstart, and a DLI course.
- NemoClaw lets developers deploy customizable, governed agent stacks on-premises or in cloud environments and ships tuned optimizations (including a Nemotron 3 Ultra profile) that can materially reduce cost and speed integration with existing harnesses.
WHY IT MATTERS
NemoClaw lets developers deploy customizable, governed agent stacks on-premises or in cloud environments and ships tuned optimizations (including a Nemotron 3 Ultra profile) that can materially reduce cost and speed integration with existing harnesses.