Agentic AI: How Nvidia Blackwell Is Changing Infrastructure
At GTC 2026, Jensen Huang shifted the AI conversation from chips to the entire infrastructure stack. Nvidia is pitching Vera Rubin as a system for agentic workloads, and OpenClaw and NemoClaw as the foundation and control layer for agents. The main takeaway for companies is simple: without managed data and access rules, even the most powerful stack will just scale errors.
AI-processed from Habr AI; edited by Hamidun News
At GTC 2026, Nvidia laid out its strategy: for agentic AI, the company is rebuilding the infrastructure itself, from GPUs and racks to orchestration, security policies and data quality.
What is agentic AI?
It is a system in which one agent coordinates dozens of sub-agents, uses tools and holds a long context. At GTC 2026, Nvidia showed that such systems require a rethink of infrastructure.
Why is Nvidia investing $1 trillion in Blackwell?
Blackwell is a platform for inference of agentic AI over long contexts. The investment is planned for 2027 and covers Blackwell and Vera Rubin chips.
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Key Questions Answered
What is agentic AI?
It is a system in which one agent coordinates dozens of sub-agents, uses tools and holds a long context. At GTC 2026, Nvidia showed that such systems require a rethink of infrastructure.
Why is Nvidia investing $1 trillion in Blackwell?
Blackwell is a platform for inference of agentic AI over long contexts. The investment is planned for 2027 and covers Blackwell and Vera Rubin chips.
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