The physics of AI compute

The AI industry is currently obsessed with the compute wall, but the thermal wall is the more immediate physical constraint. As large language models demand more dense GPU clusters, the heat generated by these systems has exceeded the capacity of traditional air-cooling methods. Alloy Enterprises is addressing this by manufacturing hardware components that allow for direct liquid cooling. Founded in 2020 and based in the United States, the company builds the physical infrastructure that prevents AI hardware from melting under the load of modern inference and training.

Patented manufacturing for reliability

The core of their offering is a patented manufacturing process called Stack Forging. Traditional cold plates—the components that sit on chips to absorb heat—are often made by brazing or welding multiple parts together. This creates points of failure where leaks can occur, a catastrophic risk in a data center full of expensive electronics. Alloy’s process allows them to create single-piece, leak-tight components with complex micro-scale geometries. These parts are designed to handle extreme heat loads while reducing pressure drop by up to four times compared to industry standards. By eliminating brazed joints and O-rings, they provide a higher level of reliability for high-performance computing (HPC) environments.

Tooling-free iteration

Their Digital Manufacturing Suite allows for rapid iteration without the need for traditional tooling. This is particularly relevant in the AI hardware sector, where chip designs and server architectures are changing monthly. Alloy can design, simulate, and produce custom thermal solutions that integrate cooling directly into electronics enclosures. This capability is not just for the processors themselves but also for peripherals, which have become a new thermal limit in high-density rack configurations. As optical interconnects and high-speed networking components generate more heat, they require the same level of thermal management once reserved for the GPU itself.

Market position and scale

From a market perspective, Alloy sits at the intersection of advanced manufacturing and AI infrastructure. They raised a $26.2 million Series A in June 2023, led by Piva Capital and other investors, bringing their total funding across seven rounds to a significant level for a hardware startup. While competitors like Boyd Corporation or Vertiv offer broad data center cooling solutions, Alloy focuses on the precision-engineered component level. They target industries where thermal failure is not an option, including defense electronics, photonics, and semiconductors, in addition to AI-focused data centers.

Future infrastructure requirements

The company currently employs between 51 and 200 people. Their focus on U.S.-based manufacturing aligns with the broader trend of onshoring critical semiconductor and AI infrastructure components. By providing the physical components that enable higher power density, Alloy allows data center operators to pack more compute into smaller footprints. This is a requirement for the next generation of AI clusters, where power and space are the primary limiting factors. Without the cooling technology Alloy provides, the hardware running today’s most advanced models would be forced to throttle performance, slowing down the pace of AI development and deployment.