a16z投11亿建AI基础设施基金,超算巨头们看到别人看不到的需求,资本直接转化为能力。
a16z宣布成立11亿美元的机器时代基金,专注于重建AI运行的基础设施。超大规模云服务商资本支出预计明年将达到1万亿美元,今年约为7000亿美元。AI供应链压力巨大,所有资源已被预订至2028年,甚至出现为期数天的数千GPU拍卖。
Martin Casado, Raghu Raghuram, and Ben Horowitz on what the hyperscalers can see that others can't, ...
Martin Casado, Raghu Raghuram, and Ben Horowitz on what the hyperscalers can see that others can't, and why they're going to spend a trillion dollars on it: "The demand for AI is basically infinite, and as a result of that, every part of the supply chain is under duress. Everything, including materials used to make things like memory." " Even the business model of the AI wave is really putting a lot of stress on the existing systems because they weren't built for AI, they weren't built for those workloads." "If you look at the hyperscalers, their CapEx spend has been exploding. Next year, supposedly it's gonna reach a trillion dollars collectively. This year it's about $700 billion." "They see demand from everywhere... If anybody has visibility, it is them... On the demand side, the signals have never been clearer." "If you look at the supply across the board, it's basically all booked out to 2028. It's so bad, we've actually seen multi-day auctions for a few thousand GPUs." @martin_casado @RaghuRaghuram @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 💬 7 🔄 3 ❤️ 23 👀 8024 📊 7 ⚡