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Production is where weaknesses in AI systems are exposed. Workloads change. Architectures mix. Constraints show up fast. From NVIDIA GTC MiTAC Computing's Raymond Huang explains why flexibility must be built into the system, not added in later.

Six Five Media

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219,559 次观看 • 4 个月前 •via X (Twitter)

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AI in Motion: Autonomous Driving and Real-World Systems Live from NVIDIA GTC 2026, our correspondent Robert Scoble Robert Scoble is on the expo floor where AI is moving from theory into real-world applications—spanning robotics, AI infrastructure, and autonomous driving. The trend is clear: AI is rapidly expanding into robotics, intelligent manufacturing, and autonomous systems. Watch our Day 2 field report and stay with us as we continue exploring the future of AI. #AI #GTC2026 #Robotics #AutonomousDriving #NVIDIA

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Jensen Huang built NVIDIA into a $5+ trillion company. Stock is up 20,000%+ since IPO. He invested in AI when: - Revenue was zero - Wall Street hated it - Stock kept falling Today, NVIDIA is the backbone of global AI. 13 timeless lessons on money, tech & business from Jensen:

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THAT MOMENT WHEN NVIDIA CEO JENSEN HUANG WAS ASKED ABOUT HIS COMMENTS ON CHINA BEATING THE U.S. IN THE AI RACE: “THAT’S NOT WHAT I SAID. WHAT I SAID WAS THAT CHINA HAS VERY GOOD AI TECHNOLOGY. THEY HAVE MANY AI RESEARCHERS. IN FACT, 50% OF THE WORLD’S AI RESEARCHERS ARE IN CHINA. THEY DEVELOP VERY GOOD AI TECHNOLOGY. THE MOST POPULAR OPEN-SOURCE AI MODELS IN THE WORLD TODAY ARE FROM CHINA. SO THEY ARE MOVING VERY, VERY FAST. THE UNITED STATES HAS TO CONTINUE TO MOVE INCREDIBLY FAST. OTHERWISE, THE WORLD IS VERY COMPETITIVE, SO WE HAVE TO RUN FAST.”

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