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Everyone believes CUDA is NVIDIA's moat, the reason we've maintained our dominance in the AI era. I've never believed that. NVIDIA has only one true moat: its people. And the most important of them is Jensen Huang. I've worked on CUDA compilers, libraries, and DSLs for eight years, from Volta to Rubin. I think I've earned the right to share my perspective on what NVIDIA's moat really is. I hope you'll bear with me. 1. What is CUDA? Many people think CUDA is just a programming language and its compiler, and that NVIDIA's moat comes from the massive amount of software written in CUDA, making it impossible for developers to leave NVIDIA GPUs. This is completely wrong. It's an incredibly naive understanding of CUDA. To me, CUDA is everything NVIDIA does. CUDA isn't just a language, software, or hardware architecture. It's a product defined by a unique customer experience. When you find GPU programming too difficult, CUDA gives you an easier way. When your GPU code isn't fast enough, NVIDIA engineers respond and help you solve it. When a handful of GPUs can no longer push your technology forward, NVIDIA has already scaled its computing platform from desktops to massive data centers. When you need more data centers than anyone else can supply, NVIDIA has already secured wafer and HBM capacity years in advance to meet your demand. That experience is CUDA. It's made possible by the relentless, day-to-day work of everyone at NVIDIA. And the person who brings all these people together, who gives them a shared vision and purpose, is Jensen Huang. 2. What made CUDA possible? Patience. Perseverance. An unwavering commitment to a vision. Around 2006, NVIDIA bet that the future would demand far more computing power, and began transforming GPUs from graphics processors into a platform for general-purpose computing. Initially, it was a commercial disaster. The added costs hurt margins, the market wasn't ready, and the strategy faced enormous skepticism and pressure, including questions from the board. But Jensen persisted. For roughly a decade, NVIDIA kept investing in CUDA, building its hardware, software, and developer ecosystem long before the commercial payoff became clear. Eventually, deep learning arrived. And NVIDIA was ready. Today, this sounds like an inspiring story. But for those who lived through it, it meant a decade of perseverance, doubt, and being misunderstood. Looking back at the history of technology, how many people could have done the same? This is what I've always loved most about NVIDIA. And now, Jensen has been pushed out. This won't kill NVIDIA. The company can still create tremendous commercial value. But it has killed NVIDIA's soul. And how far can a body go without its soul? If this is how Jensen Huang is treated today, how will those of us who built CUDA be treated tomorrow? I love NVIDIA deeply, but I have to say it: NVIDIA is dead.

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实在搞不懂，都2035年了，为什么还没有人知道香港线下出金非常安全，也非常方便？？？ 我自己每次来香港，都会来这个地方出金一部分，也算是我的御用出金地了。非常方便，也不用担心被冻卡之类的。都是现金交易，拿到了以后就找汇丰ATM机存起来。 磨损大概在0.5%-1%之间左右，找个时间出个详细的攻略。

Illegal aliens are NOT welcome in the United States. We will find you, arrest you, and deport you. God bless our @ICEgov law enforcement officers for making America safe again. 🇺🇸

50 legendary internet rabbit holes you can spend hours exploring👇 1. — Watch the world via live satellite imagery 2. — See every plane currently in the sky 3. — Track all ships at sea in real time 4. — Live map of winds and storms 5. — Watch lightning strikes hitting Earth in real time 6. — Live list of recent earthquakes 7. — Ocean cables carrying the internet 8. — Watch forests disappear from space 9. — The world's statistics, second by second 10. — Current number of tweets and searches being posted 11. — Compare the true sizes of countries 12. — Maps from centuries ago 13. — Archive of 150,000 historical maps 14. — World map drawn by volunteers 15. — Look out the window of a random person around the world 16. — Virtual walks through cities 17. — Teleport to a random spot on Earth 18. — Catalog of the world's strangest places 19. — Interactive knowledge experiences 20. — Scale journey from atom to universe (Updated HTML5 link) 21. — Explore the solar system in 3D 22. — Real sky map in your browser 23. — NASA's astronomy picture of the day 24. — NASA's entire visual archive, free 25. — Visual articles told through data 26. — The state of the world with real data 27. — What we mistakenly think we know about the world 28. — Visualizing complex data 29. — World Bank's open data 30. — Turkey's official statistics database 31. — Archive of millions of books, films, and software 32. — 70,000 free books whose copyrights have expired 33. — Record of every book in the world 34. — U.S. Library of Congress digital archive 35. — Europe's cultural heritage archive 36. — America's digital library collection 37. — Tour museums from home 38. — Download artworks in high resolution 39. — Archive of 250,000 artworks 40. — Forgotten visual treasures of history 41. — Free archive of culture and education 42. — Met Museum's open collection 43. — Family tree of music genres 44. — Pick a country and decade to listen to that era 45. — Turn Wikipedia edits into audio 46. — Random knowledge well 47. — Time, sunrises, and sky events 48. — Live stream of science news 49. — Free preprints of scientific papers 50. — Visualize data with live code Save this. You’ll definitely need some of these later. 🔖 Follow @justinbrave21 for more useful websites, AI tools & tech resources.

烦死了呀，今天我在大连的ootd哦，一个人来到了consequently奶茶店发呆，有个人过来讲到拼个桌？"，是想搭讪还是我多想了 #女大 ##反差 ##大连# 🌐 💐 🚩 🍀