📈 NVIDIA tops AI leaderboards and benchmarks with open models driven by extreme co-design across compute, networking, memory, storage, and software.This includes models for biology, AI physics, agentic AI, physical AI, robotics, and autonomous vehicles.By being vertically integrated and horizontally open, NVIDIA enables its ecosystem to scale agentic workflows at every layer of the stack with the lowest cost per token.

Our CEO Jensen Huang explains why AI can take on routine tasks, boost productivity, and help people focus on more meaningful work.

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What happens when you combine voice, vision, and reasoning on-device? 🤔Gemma 4 + a vision-language agent (VLA) running on NVIDIA Jetson Orin Nano shows how compact hardware can now handle real-world AI tasks using today’s open models—no cloud required.Get started:

NVIDIA GTC 2026: Live Updates on What’s Next in AI