Raydion builds and operates GPU infrastructure for AI training and inference: dedicated accelerator servers, managed hosting for customer-owned hardware, and high-throughput inference capacity, run with an owner-operator mindset.
Three ways to work with Raydion, whether you need capacity, a home for your own hardware, or inference throughput.
Whole-node, dedicated GPU servers built around the latest accelerator generations. Your workloads run on hardware reserved for you. No noisy neighbors, no shared-tenancy surprises.
Bring your own hardware. We provide the rack, power, cooling, and remote hands in enterprise colocation facilities, with terms that respect the fact that the machines are yours.
High-throughput, cost-efficient inference for leading open models, delivered through standard APIs. Capacity planned around real demand, not vanity benchmarks.
Raydion is an independent, owner-operated company based in Redmond, Washington. Small by design, and deliberate about it.
Clear title, serial-numbered hardware, and contracts written down in plain terms. Who owns what is never ambiguous.
Managed today, self-operated tomorrow. We structure engagements so capacity and hardware can move with your needs.
Low-cost power regions, right-sized deployments, and honest utilization math, passed through in straightforward pricing.