The whole node
Bare metal, not a virtualized slice. You get all eight H200s, both CPUs, every NVMe bay, and root access. Full NVLink bandwidth inside the node and a dedicated 400 Gb/s InfiniBand fabric between them.
AI Infrastructure // Central Washington
WW Compute owns the hardware and contracts it to you bare metal. All eight GPUs, full NVLink inside the node, dedicated InfiniBand across the cluster. No oversubscription, no preemption, no noisy neighbors.
The platform
Most AI teams do not lose time to a shortage of GPUs in the abstract. They lose it to capacity that arrives late, performs inconsistently, or disappears mid-run. We sell the opposite of that: a fixed cluster, on a fixed term, delivered against a written spec.
Bare metal, not a virtualized slice. You get all eight H200s, both CPUs, every NVMe bay, and root access. Full NVLink bandwidth inside the node and a dedicated 400 Gb/s InfiniBand fabric between them.
Terms from 12 to 36 months at a fixed monthly rate per node. Your cluster is reserved for you and priced up front, so your compute budget stops being a variable you have to forecast every quarter.
Every node is validated against written acceptance criteria before handover: node configuration, network throughput, storage throughput, and cluster-level NCCL collective performance. We document the results and hold that standard for the term.
Specifications
Our standard build is an NVIDIA HGX H200 8-GPU system. Configurations are adjusted to the workload, and the numbers below are the baseline we deliver and test against.
| Component | Specification | Qty |
|---|---|---|
| GPU | NVIDIA HGX H200, 8x SXM5, 141 GB HBM3e each | 1 |
| CPU | Intel Xeon Platinum 8568Y+ | 2 |
| Memory | DDR5 5600 MHz, 2 TB total | 32 |
| Boot | M.2 960 GB NVMe SSD | 1 |
| Local NVMe | U.2 3.84 TB NVMe SSD | 4-8 |
| Compute fabric | NVIDIA ConnectX-7, 400 Gb/s | 8 |
| Storage network | NVIDIA 200 Gb/s | 1 |
| Management | NVIDIA 25 Gb/s | 1 |
Cluster targets
Why dedicated
Multi-tenant GPU cloud is the right answer for bursty, short-lived work. It is the wrong answer for a training run that has to hold a fabric steady for six weeks.
Location
Our clusters sit in established colocation facilities in the Quincy corridor of Grant County, Washington. The region runs on Columbia River hydroelectric generation, which makes it one of the cheapest and lowest-carbon power markets in the United States, and it already hosts hyperscale tenants.
We are not building data centers. We place hardware in space that is already built, already energized, and already proven at GPU density. That is what lets us deliver a cluster in months instead of years.
Process
We size the cluster to your workload: node count, storage throughput, fabric topology, and term.
Fixed monthly rate per node against a written specification and acceptance criteria.
We procure, rack, cable, and burn in. Every node is benchmarked against the spec and the results are documented.
You get root access and a validated cluster. We hold the hardware, the space, and the standard for the term.
Get started
Send us the shape of the workload and the term you have in mind. We will come back with a cluster configuration and a fixed monthly number.