We're not customer-heavy yet.
We're picking the first three.

Slot sized for ~16 nodes of continued-pretraining or fine-tuning workload on dedicated InfiniBand fabric.

Slot sized for Cerebras CS-3 or dedicated GPU capacity serving low-latency production inference.

Slot sized for up to 2 MW of NDAA §889-compliant, single-tenant, US-built-hardware deployment.

AI product teams

You have: A fine-tuned model in production and a cloud bill that doubles every quarter.

You get: Dedicated GPUs at a fixed monthly number — no noisy neighbors, no surge pricing, no egress surprises. Your invoice looks the same in month one and month twelve.

Inference-heavy SaaS

You have: Users who feel every 100 ms, and unit economics measured in tokens per dollar.

You get: Capacity tuned for serving: batch-optimized GPU nodes or Cerebras CS-3 for the fastest tokens available. We size against your real traffic, not a benchmark.

Research labs & universities

You have: Training runs that need two weeks of uninterrupted compute, a few times a year.

You get: Reserved burst windows on a private InfiniBand fabric — schedule the run, get the whole allocation, pay only for the window. No queue, no preemption mid-run.

Federal & compliance-sensitive

You have: A mandate: NDAA §889 supply chain, US-built hardware, and single-tenant isolation.

You get: US-based operations, single-tenant physical isolation, audit-ready telemetry, and supply-chain documentation scoped per contract under NDA. Compliance requirements are engineered in from the design phase.