Andreessen Horowitz has closed a $1.1 billion fund dedicated to AI hardware and physical infrastructure, signaling a shift in focus from software to hardware as AI data center power demands escalate. The fund, named the Machine Age Fund, will invest in chips, cooling systems, robotics, and data centers to address the growing power and infrastructure challenges of AI.
TL;DR
- Andreessen Horowitz raises $1.1B for AI hardware fund, highlighting the increasing power demands of AI data centers.
- The fund will invest in chips, cooling, robotics, and data centers to support the growing infrastructure needs of AI.
- AI data center racks are projected to reach 1 megawatt of power within three years, necessitating significant advancements in hardware and infrastructure.
What happened
Andreessen Horowitz, a venture capital firm known for its software investments, has closed a $1.1 billion fund called the Machine Age Fund, dedicated to AI hardware and physical infrastructure. The fund was announced by five of the firm's general partners, including co-founder Ben Horowitz.
The fund's focus is driven by the increasing power demands of AI data centers. Today's AI data center racks draw between 100 and 250 kilowatts, with projections indicating that rack power will hit 1 megawatt within three years. This escalation requires a reinvention of the entire hardware supply chain, including chips, memory, interconnects, cooling systems, and electrical architecture.
The fund aims to address the gap between the scale of AI infrastructure investment and the current revenue generated by AI. It will invest in the physical infrastructure layer that AI runs on, including semiconductor chips, memory, networking equipment, storage systems, data centers, robotics platforms, and energy systems.
Why it matters
The Machine Age Fund highlights the growing importance of hardware and physical infrastructure in the AI industry. As AI models become more powerful and data-intensive, the hardware that supports them must also advance to keep pace.
For developers and startups, this fund represents a significant opportunity to secure funding for innovative hardware solutions that can address the challenges of AI infrastructure. It also signals a shift in the venture capital landscape, with more firms recognizing the need to invest in hardware to support the growth of AI.
For investors, the fund offers a chance to capitalize on the increasing demand for AI infrastructure. However, it also comes with risks, as the AI industry faces significant challenges in scaling its infrastructure to meet the growing power demands of AI models.
Key facts
- Andreessen Horowitz has closed a $1.1 billion fund dedicated to AI hardware and physical infrastructure.
- The fund, called the Machine Age Fund, will invest in chips, cooling systems, robotics, and data centers.
- AI data center racks currently draw between 100 and 250 kilowatts, with projections indicating that rack power will hit 1 megawatt within three years.
- The fund aims to address the gap between the scale of AI infrastructure investment and the current revenue generated by AI.
- Physical AI startups raised $47.4 billion globally in the first half of 2026, up roughly 80% from the same period in 2025, according to Crunchbase data.
- The fund's investment scope spans the entire physical stack that AI runs on, including semiconductor chips, memory, networking equipment, storage systems, data centers, robotics platforms, and energy systems.
- The fund is part of Andreessen Horowitz's broader investment strategy, which includes software-focused vehicles and a $1.7 billion Infrastructure Fund 2.
- The fund's team includes experts with deep hardware and data center experience, including Guido Appenzeller, who previously served as CTO of Intel Data Center Group.
Context
The Machine Age Fund is a response to the growing power and infrastructure challenges of AI. As AI models become more powerful and data-intensive, the hardware that supports them must also advance to keep pace. This fund represents a significant shift in the venture capital landscape, with more firms recognizing the need to invest in hardware to support the growth of AI.
The fund's focus on the physical infrastructure layer that AI runs on is particularly important, as this layer is characterized by massive capital requirements, long construction timelines, and revenue models tied to long-term contracts with creditworthy hyperscalers. This makes it a different risk profile than early-stage application software betting on unproven market adoption.
The fund's launch comes at a time when the AI industry is facing significant challenges in scaling its infrastructure to meet the growing power demands of AI models. The fund's investments in chips, cooling, robotics, and data centers will be crucial in addressing these challenges and supporting the growth of the AI industry.