a16z投11亿建AI基础设施基金，解释为什么Nvidia会主动放弃边缘创新机会。
a16z宣布成立11亿美元的机器时代基金，专注于构建AI基础设施。该基金将投资芯片、内存、网络、系统软件、电力和将AI带入物理世界的机器。Nvidia等现有企业专注于90%的市场增长，为新创新留下5%的巨大机会。创始人正从纯软件转向复杂硬件，因为堆栈中的每个约束都是创业机会。
Martin Casado, Raghu Raghuram, and Ben Horowitz on why incumbents like Nvidia and CoreWeave are goin...
Martin Casado, Raghu Raghuram, and Ben Horowitz on why incumbents like Nvidia and CoreWeave are going to willingly leave some money on the table: "Well, they will do well, there's no question about it... You take any metric, if you want to have a 10x on those metrics, you got to have new innovation." "And new innovation traditionally comes from brilliant founders thinking about solving the problem from first principles in a different way." "The existing silicon incumbents are multi-trillion dollars in market cap. Even 5% of that is a massive private company... And you could say, 'Well, but Nvidia could do that.' They could, but why would they if they're focused on things that are in the 90% which is also driving the same amount of growth?" "We asked these questions during the cloud days. 'Why wouldn't Amazon do this?'... There's a very natural law of markets, once you get to a certain scale, there's tremendous opportunity for innovation at the margins." "There's a funny quote from our partner Alex Rampell... 'Alex, that's great. It sounds like you can collect a lot of silver bricks. But I have so many gold bricks, I can't even pick them all up. So the last thing I'm doing is looking at a silver brick.'" "And I think Nvidia's in that position today." @RaghuRaghuram @martin_casado @bhorowitz @eriktorenberg Your browser does not support the video tag. 🔗 View on Twitter a16z @a16z Today, a16z is announcing the Machine Age Fund, a new $1.1 billion fund for founders rebuilding what intelligence runs on: chips, memory, networking, systems software, power, and the machines that bring AI into the physical world. Ben Horowitz, Martin Casado, and Raghu Raghuram see a new economic law. A thousand engineers cannot erase a two-year software lead, but a massive GPU cluster can turn capital directly into capability. Models are improving faster than the memory, interconnect, power, and cooling beneath them. The founder map is changing with it. Some of the strongest teams are moving from pure software into complex hardware because every constraint in the stack is now a company-building opportunity. In this conversation with Erik Torenberg, they explain what founders can build, why the opportunity reaches all the way down to the physical stack, and why a16z created a fund for it. 00:00 Intro 01:08 Why AI needs an entirely new infrastructure 02:02 The bottleneck is no longer the model 02:40 Founders saw it before investors did 06:07 Sold out through 2028 07:14 Why this time is different from 1999 08:57 The company whose idle hardware gained value 10:51 "Why didn't this fund exist five years ago?" 13:51 "Nobody likes to use AI more than AI" 17:06 The startup law that capital just broke 21:05 What Grok Bot got right 26:43 The case for a custom chip per model 28:23 Why AC power isn't good enough 32:07 Lots of new electricians 34:14 What one gigawatt can power 35:03 Why utilities can't just build faster 37:22 The data centers that give power back 38:01 Why we should never have called it AI 39:43 Why Nvidia will willingly leave money on the table 48:08 Hardware founders are older 52:36 Why America has to lead YouTube: youtube.com/watch?v=Zx1Ec8… @bhorowitz @RaghuRaghuram @martin_casado @eriktorenberg Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 2 🔄 0 ❤️ 2 👀 5295 📊 2 ⚡