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

📈 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.

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:

BAD NEWS FROM US-CHINA SUMMIT🇺🇸🇨🇳 President Trump said China “chose not to buy” NVIDIA $NVDA H200 chips despite U.S. approval. China prefers to develop its own semiconductor chips rather than rely on foreign suppliers like NVIDIA.