a16z Launches $1.1B Machine Age Fund to Scale AI Hardware and Physical Infrastructure

a16z Launches $1.1B Machine Age Fund to Scale AI Hardware and Physical Infrastructure Andreessen Horowitz has raised $1.1 billion for the Machine Age Fund, an investment vehicle dedicated to financing the physical computing infrastructure, systems, and supply chains required to meet accelerating AI demand. The Machine Age Fund raised $1.1B to invest in chips, memory, networking, storage, data centers, robotics, and edge AI hardware. Hardware startups have increased to represent over 20% of a16z's deal flow over the past two years. Data center and hardware demands are surging, with rack compute density increasing 28X from H100 to Rubin racks and rack power projected to hit 1MW within three years. The initiative leverages partners with backgrounds in systems, data centers, and manufacturing, including Guido Appenzeller, Raghu Raghuram, Martin Casado, Shangda Xu, David George, David Ulevitch, and Erin Price-Wright. Investment Mandate Across the AI Stack The $1.1B Machine Age Fund focuses on hardware and physical infrastructure underpinning AI workloads. Investments will target core components including silicon, memory hierarchies, interconnects, and storage, as well as integrated systems like robotics, data centers, and consumer AI appliances. a16z points to supply chain bottlenecks, physical constraints, and the need to redesign platforms down to power delivery as the drivers for the fund. Infrastructure Escalation and Technical Constraints The fund addresses rapid increases in the scale and resource intensity of computing architectures. Compute density per rack is up 28X moving from H100 to Rubin racks, rack power consumption has grown from 5–10 kW to 100–250 kW and is heading toward 1MW, and data centers are expanding from hundreds of megawatts to gigawatt-scale campuses relying on captive power. Intra-rack networking is pushing past the limits of copper cabling, creating demand for fast, power-efficient interconnects, advanced cooling, and alternative materials. Firm Strategy and Historical Hardware Portfolio Hardware has grown from a marginal segment to more than 20% of the firm's deal flow. While primarily recognized for software, a16z highlights prior hardware investments including Skydio, SpaceX, Anduril, and Waymo, as well as recent backers such as Unconventional AI, Nexthop, Volta, Atoms, Heron Power, and Mind Robotics. The firm will deploy go-to-market, talent, and supplier network support to hardware startups through partners specializing in systems, data centers, and American Dynamism manufacturing initiatives.

a16z 推出规模 11 亿美元的 Machine Age Fund，押注 AI 物理与硬件基础设施 a16z 宣布为其最新基金 Machine Age Fund 募资 11 亿美元，重点投资 AI 运行所需的物理与计算机基础设施，以应对 AI 演进对算力、网络及能源供应带来的供应链和物理极限挑战。 a16z 成立规模达 11 亿美元的 Machine Age Fund，专注加速 AI 的物理基础设施建设。 从 H100 到 Rubin 机架，单机架计算密度提升了 28 倍，机架功率从 5-10 kW 跃升至 100-250 kW，并预计在未来 3 年内达到 1 MW。 数据中心规模正从数十、数百 MW 发展至 GW 级别，供电方式正由纯电网转向结合表后或专用能源。 a16z 内部的硬件初创公司项目流占比已从较小比例提升至 20% 以上。 AI 算力爆发逼近物理与供应链极限 随着 AI 从聊天转向推理、编程及知识工作，对算力的需求和 Token 密集度呈数量级增加。各层级 AI 架构均面临当今供应链、物理与计算机科学的瓶颈。从 H100 到 Rubin 机架，单机架计算密度提升了 28 倍，机架内网络正在触及铜缆极限；机架功率目前为 100-250 kW，3 年内将上升至 1 MW，数据中心整体规模也在向 GW 级别园区迈进。传统硬件供应链年增长仅 20% 至 30%，难以满足三位数的实际需求增长。 Machine Age Fund 投资范围与团队背景 该基金将覆盖芯片、内存、网络、存储等底层算力基建，以及从数据中心、机器人到家庭 AI 终端等完整运行系统，同时涵盖配套的冷却、材料、电力和地产建设。近期 a16z 已投资 Unconventional AI、Nexthop、Volta、Atoms、Heron Power 和 Mind Robotics 等公司。a16z 硬件初创项目流占比已超 20%，团队成员包括 Intel 数据中心集团前 CTO Guido Appenzeller，以及深耕数据中心系统软件与 AI 基建的 Raghu Raghuram、Martin Casado、David George 等人。

[America](https://www.a16z.news/t/america) | [Tech](https://www.a16z.news/t/technology) | [Opinion](https://www.a16z.news/t/opinion) | [Culture](https://www.a16z.news/t/culture) | [Charts](https://www.a16z.news/t/charts) *To hear more about Machine Age Fund, watch the [companion podcast on the A16Z Show](https://www.youtube.com/watch?v=Zx1Ec8LWFeM).* We’ve raised **$1.1B for a16z’s newest fund: the Machine Age Fund**. It’s time to open the throttle and accelerate the physical buildout of AI: the strongest tool ever developed for solving problems and bestowing abundance. It is our social and national imperative. For anyone paying attention, this shouldn’t be a surprise. We’re seeing an upward inflection point in utility and variety of work that AI can do, just over the past year. And as we evolve from chat to reasoning to coding and other forms of knowledge work, both the demand for work and the token intensity of the work increase by orders of magnitude. Machine intelligence is going vertical. This fund will invest into all of the computer infrastructure on which AI runs, including chips, memory, networking, and storage. It also includes full systems for running AI: from data centers to robotics to home AI appliances. The common thread among all of these layers of the AI stack is that they are *all* hitting the wall of today’s supply chain capability, and the limits of physics and computer science. So there is an urgent need for innovation and investment, and a once-in-a-generation opportunity to rearchitect them as platforms, all the way down to the electricity. Reinventions like this happen at each epoch of compute, from the shift from mainframe to client server, to the Internet, cloud and mobile. However, what is different this time is the magnitude and breadth of change needed to keep up with demand, and the speed required to do so. Everything needs an upgrade, now: Compute density per rack increased by 28X from an H100 rack to a Rubin rack. Networking within a rack has grown similarly, hitting the limits of copper cabling Rack power moved from roughly 5-10 kW to [100-250 kW](https://developer.nvidia.com/blog/nvidia-800-v-hvdc-architecture-will-power-the-next-generation-of-ai-factories/) to support today’s systems and will increase to 1MW over the next 3 years. Data center scale is moving from tens to hundreds of MW and, in some cases, GW-scale campuses. Power is increasingly supplied not only from grid-only to grid plus behind-the-meter or captive sources. We need faster, more efficient systems. We need cheaper and higher-bandwidth memory across the memory hierarchy. We need faster and more scalable interconnects between nodes and systems. We need power efficient edge devices for AI to explore and interact with the world. And of course we need all the cooling, materials, electrical, and real estate build out to support them. The hardware industry supply side is used to growing 20% to 30% per year at most; not the triple-digit growth that’s needed to catch up with demand. This will change, quickly. Founders understand the opportunity. Over the last couple of years **we’ve seen hardware startups grow from a small amount of deal flow to now over 20%.** While we at a16z are generally known as software investors, we have always paid attention to hardware. Recently we’ve backed a number of hardware companies including Unconventional AI, Nexthop, Volta, Atoms, Heron Power and Mind Robotics. And we have selectively invested in hardware companies since our earliest days. In 2016, we led the series A in Skydio; we invested in SpaceX; we wrote our first check into Anduril in 2019, and were among the first venture investors in Waymo’s 2020 raise. Hardware is in our team DNA, and it’s great to get back to our roots. Guido Appenzeller was the CTO for Intel’s Data Center Group (DPG). Raghu Raghuram and Martin Casado spent multiple decades in the data center space with system software, much of which required deep hardware partnership. Shangda Xu and David George have led investments across the AI infrastructure stack, from silicon and networking to large-scale systems and compute platforms. David Ulevitch and Erin Price-Wright lead many of the firm’s hardware and U.S. manufacturing investments through our American Dynamism practice. We’re excited to make hardware an official motion for a16z and announce the Machine Age Fund to support it. Our GTM, talent, and marketing machine that we’ve built at a16z is now ready to serve hardware founders. And the a16z network has exceptional access to customers, suppliers, and everybody else that’s relevant, for a new age of hardware reinvention. Ambitious founders who are reinventing AI hardware and founding the machine age, please reach out. We’re ready for you. *This newsletter is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. Furthermore, this content is not investment advice, nor is it intended for use by any investors or prospective investors in any a16z funds. This newsletter may link to other websites or contain other information obtained from third-party sources - a16z has not independently verified nor makes any representations about the current or enduring accuracy of such information. If this content includes third-party advertisements, a16z has not reviewed such advertisements and does not endorse any advertising content or related companies contained therein. Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z; visit [https://a16z.com/investment-list/](https://a16z.com/investment-list/) for a full list of investments. Other important information can be found at [a16z.com/disclosures](http://a16z.com/disclosures). You’re receiving this newsletter since you opted in earlier; if you would like to opt out of future newsletters you may unsubscribe immediately.*