The primary constraint on AI progress is no longer models or talent: it’s compute. Andromeda is building the market infrastructure to fix that. For the last three years, we have helped leading AI companies source, onboard, and operate large-scale training infrastructure.
What started as a single multi-thousand GPU cluster built to support the venture portfolio of Nat Friedman and Daniel Gross has grown into a constellation of dozens of clusters across many providers powering the most advanced AI workloads. Over a billion+ GPU-hours, we’ve learned a few things:
Compute demand is growing faster than the current market can serve it. The demand for intelligence is unlimited, and the mismatch between supply and demand is about speed and coordination. AI research moves in weeks, data centers take twelve to twenty-four months to build, and there is no mechanism to bridge the gap.
But the problem isn’t raw supply. Capacity exists in telco and crypto data centers, legacy MSPs, sovereign clouds, startup clouds, and on the balance sheet of other labs. But there’s no standard way to benchmark a cluster, no standard contract to transact on, and no trusted intermediary to certify performance. Compute sits idle not because nobody wants it, but because the market infrastructure to connect it with demand hasn’t been built.
This pattern has played out before.
Electricity. In the early 1900s, every factory that wanted power had to build its own generating plant. There was no grid, standard voltage, or way to buy someone else’s surplus. It wasn’t until Samuel Insull created central stations and standardized distribution that power became broadly accessible. That shift unlocked the Second Industrial Revolution.
Natural gas. For decades, gas was sold through rigid take-or-pay contracts: producers built pipelines to specific buyers, and if demand shifted, tough luck. The infrastructure to produce and deliver gas existed; what was missing was the market infrastructure to connect the two. Spot markets, standardized contracts, and trading hubs like Henry Hub turned natural gas from an inflexible resource into a flexible, efficient market.
Agriculture. In the 19th century, every grain shipment was a different grade, every deal negotiated from scratch. A bushel of wheat in Chicago might be a completely different product than a bushel in St. Louis. Standardized grades, futures contracts, and firms like Cargill, which built the sourcing, logistics, and distribution to connect growers with buyers, turned agriculture from a fragmented local business into a global market. The grain didn’t change. The infrastructure around it did.
Every time, the pattern is the same. Supply exists and demand exists, but they can’t find each other, trust each other, or transact efficiently. Someone builds the market infrastructure (benchmarks, standards, matching, a trust layer) and the resource goes from bottleneck to catalyst.
Most approaches to close the supply and demand gap treat compute like a simple transaction, financializing it like a futures contract or listing it like an Airbnb. Neither works yet. Compute is not fungible or simple; these are multi-million dollar investments and life-or-death decisions for many companies. The clusters need to perform at spec and run reliably. You can’t train a frontier model on a financial instrument, and you can’t close a complex infrastructure deal with a passive listing.
What this market needs is the full infrastructure of trade: sourcing, quality certification, standardized contracts, structuring, matching, operations, and the trust to make it work at scale.
Andromeda facilitates commerce between AI builders and infrastructure providers.
For suppliers, we make it simple to bring capacity to market. Whether you’re a telco with bare-metal nodes or an established cloud offering managed Kubernetes, we benchmark, normalize, and certify your infrastructure against rigorous performance standards across GPU, CPU, storage, network fabric, throughput, and security. Andromeda then structures and standardizes contracts to get capacity deployed.
For buyers, we provide a single place to access and manage compute across providers. Every cluster on our network meets the same quality benchmarks, regardless of who operates the underlying infrastructure. Our matching engine prices, routes, and deploys the right infrastructure to the right workload: reserved, on-demand, or spot; Slurm, bare metal, or Kubernetes. Our observability stack, SLAs, and solutions team monitor and optimize performance from cluster operations down to training code so you can focus on building.
For AI builders, Andromeda is a single relationship that unlocks a global network of compute with the consistency of a hyperscaler and the flexibility of the open market. For providers, it’s the fastest path to utilization and revenue.
Our goal is to do for the compute market what other commodities pioneers have done: enable it to flow.
The world is building the most important technology in human history. Andromeda is building the market to power it.