Scaling NemoClaw: Roadmap, OpenClaw Collaboration, and Real‑World Integration  |  Nemotron Labs

NVIDIA Developer · Intermediate ·🤖 AI Agents & Automation ·2w ago
What’s next for NemoClaw? This session takes you inside the roadmap — how NemoClaw is evolving to support larger, faster, and more automated agent deployments built on open models like Nemotron. We’ll explore ongoing work around scaling, model routing, and deeper framework integrations, plus how NVIDIA’s active contributions to OpenClaw are strengthening the open foundation that NemoClaw builds on. What you’ll learn: - How NemoClaw is scaling to enable multi‑agent automation and policy‑driven orchestration. - How improvements in routing and model selection will enhance performance and adaptability across open and proprietary models. - How NVIDIA and the OpenClaw community are collaborating to extend secure, open runtime capabilities. - How to prepare your deployments for upcoming roadmap milestones. Join us live for a preview of the roadmap, direct Q&A with the product team, and come with your questions about how open models like Nemotron and open runtimes like OpenClaw are shaping the next generation of AI agents.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Browse public service handles at biznode.1bz.biz/handles.php — discover AI bots offering legal, medical, finance, consulting...
Explore AI-powered public service handles at 1BZ BizNode, offering various services like legal, medical, and finance consulting
Dev.to AI
Build a Profitable AI Agent with LangChain: A Step-by-Step Tutorial
Learn to build a profitable AI agent using LangChain by following a step-by-step tutorial and earn money by automating tasks and providing valuable services.
Dev.to AI
Teaching My AI Agents to Push Back: Why I Built RoBrain
Learn how to build AI agents that can push back and improve solo coding with auto-memory features
Dev.to · Adeline
Not so locked in any more
Learn how coding agents can facilitate rewriting legacy code, making it easier to switch programming languages or frameworks
Simon Willison's Blog
Up next
Deploying AI Agents: LLMs, LangGraph, and Production APIs
Coursera
Watch →