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

📈 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.

Nvidia will now pay you to put a mini AI data center on your houseIt looks like a normal AC unit in the yard.But inside sits 16 Nvidia Blackwell GPUs and Dell servers.A startup called Span builds them, backed by Nvidia.They bolt onto your home and you get paid for the power and Wi-Fi.Some estimates put that around $1,000 a month in your pocket.That is rent money just for hosting a box outside.Span says it deploys way faster and cheaper than a real data center.The AI boom is literally moving into

NVIDIA MADE A $249 DESK CHIP THAT TURNS LOCAL LLMS INTO A TINY PRIVATE BACKENDjetson orin nano super is basically a pocket-size ai board: 67 TOPS, 1024-core ampere gpu, 8gb memory, 7-25w power draw. not a gaming pc, not a rented cloud box, just a small nvidia dev kit running llama, mistral, qwen and deepseek from your own tablethat changes the cost structure. the same automations people casually run through openai for $100-200/month can move the boring work local: summaries, drafts, code checks,