Jensen Huang: Why companies need open agent systems

NVIDIA founder and CEO Jensen Huang sits down with Harrison Chase to discuss why the last six months finally made AI useful, and what it takes to turn a large language model into a real, deployable product. The path there, Jensen says, is building your own "super agents": domain-specific systems wrapped in an open harness, grounded in your data, and improved over time. NVIDIA and LangChain also announce a new blueprint for running Deep Agents with Nemotron 3 Ultra inside OpenShell, a secure, open runtime, giving every enterprise the building blocks to create and deploy super agents anywhere. We also discuss: • Why companies of the future are built on harnesses, not business processes • The difference between open vs. frontier models • How Nemotron 3 Ultra reaches near-frontier performance at a low cost • Why cheaper, faster intelligence finds better answers • When to start with frontier models and when to specialize • Why more AI means more jobs Timestamps: 00:00 Introduction 00:34 Why NVIDIA invests in an open agent ecosystem 04:14 How to specialize agentic systems 05:54 Nemotron 3 Ultra hits frontier performance in Deep Agents 06:48 How cost changes the equation for builders 08:50 Frontier vs. open models: when to use each 09:50 Building specialized super sub-agents 11:16 Advice for enterprises: when to specialize 13:10 Companies built on harnesses, not business processes 14:48 Why open stacks empower enterprises 17:25 Announcing the Deep Agents + OpenShell blueprint 18:53 Runtime, security, and access control 20:21 How much should we anthropomorphize agents? 22:12 Why more AI means more jobs 24:17 The missing pieces of the agentic stack Referenced: • Anthropic: https://www.anthropic.com/ • Claude Code: https://www.anthropic.com/claude-code • Claude Opus: https://www.anthropic.com/claude/opus • Codex: https://openai.com/codex/ • Deep Agents: https://docs.langchain.com/oss/python/deepagents/overview • Deep Agents + OpenShell blueprint: https://www.langchain.com/blog/nvidia-enterprise • Deep Agents + OpenShell blueprint (GitHub): https://github.com/langchain-ai/openshell-deepagent • DeepSeek: https://www.deepseek.com/ • Google DeepMind: https://deepmind.google/ • MiniMax: https://www.minimax.io/ • NVIDIA: http://nvidia.com/ • NVIDIA DGX Spark: https://www.nvidia.com/en-us/products/workstations/dgx-spark/ • NVIDIA Nemoclaw: https://www.nvidia.com/en-au/ai/nemoclaw/ • NVIDIA Nemotron: https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/ • OpenAI: https://openai.com/ • OpenClaw: https://openclaw.ai/ Where to find Jensen: • LinkedIn: https://www.linkedin.com/in/jenhsunhuang/ Where to find Harrison: • LinkedIn: https://www.linkedin.com/in/harrison-chase-961287118/ • Twitter/X: https://x.com/hwchase17 Where to find LangChain: • Website: http://langchain.com • Docs: https://docs.langchain.com/