Nvidia's Jensen Huang announces new AI chips for personal computers
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Nvidia's Jensen Huang announces new AI chips for personal computers
Watch the highlights from Nvidia CEO Jensen Huang's keynote at the annual GTC 2026 in Taipei, Taiwan. Nvidia unveiled on Monday (Jun 1) new powerful chips that would bring advanced artificial intelligence functions into laptops and desktop computers, with the new personal computer models from brands including Microsoft and Dell set to roll out ...
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NVIDIA GeForce Now FINALLY LAUNCHED! 🔥 | Pricing, Games Library, Gameplay Experience, & How To Play
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Don't miss the livestream of NVIDIA CEO Jensen Huang's keynote at #NVIDIAGTC Taipei.Hear Jensen unveil the breakthroughs in physical AI, scaling infrastructure, science, and more — and what's driving the next generation of AI. It all starts here.📍 Monday, June 1 | 11 a.m. Taipei Time📍 Sunday, May 31 | 8 p.m. Pacific Time🎥 Tune in for one of the biggest moments of GTC:
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Don't miss the livestream of NVIDIA CEO Jensen Huang's keynote at #NVIDIAGTC Taipei.Hear Jensen unveil the breakthroughs in physical AI, scaling infrastructure, science, and more — and what's driving the next generation of AI. It all starts here.📍 Monday, June 1 | 11 a.m. Taipei Time📍 Sunday, May 31 | 8 p.m. Pacific Time🎥 Tune in for one of the biggest moments of GTC:
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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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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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📈 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.
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📈 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.
x.comNVIDIA
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