Dedicated AI infrastructure / Colorado, USA
Dedicated GPU capacity and production AI inference APIs for teams building serious AI products.
AI inference infrastructure. No cryptocurrency or blockchain services.
Choose your layer. Rent the compute you control, or call the inference layer we operate.
Business line / 01
Dedicated infrastructure for teams that need control over where a workload runs, how long capacity is reserved, and what support sits behind it.
Plan training, fine-tuning, batch, and inference workloads around a hardware profile and operating window defined for your team.
Scope a deploymentSingle-tenant capacity aligned to a defined deployment plan.
CPU, memory, storage, networking, and topology scoped together.
Commitment windows designed for stable production demand.
Operational support defined around the agreed infrastructure.
Hardware models, regions, availability dates, minimum terms, and SLA are confirmed per engagement. We do not publish capacity we cannot evidence.
Business line / 02
Token Factory is Prairie Compute's managed inference service: one API surface for model access, streaming output, dedicated endpoints, caching, and usage metering.
Pay for measured input, output, and cached tokens.
Move production traffic to a reserved endpoint.
curl https://api.prairiecompute.com/v1/responses \
-H "Authorization: Bearer $PRAIRIE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "your-model-id",
"input": "Explain this system clearly.",
"stream": true
}'Preview only. Models, limits, regions, and commercial availability will be published after deployment and licensing verification.
One infrastructure path
Workload fit
Production inference for SaaS, agent, and developer products.
Dedicated capacity for training, fine-tuning, and evaluation.
Controlled environments for proprietary models and data paths.
Security by explicit boundary
Production agreements define the environment, access model, data handling, retention, support, and incident process before traffic moves.
Organization, project, key, quota, and operator boundaries.
Retention, logging, caching, deletion, and training-use terms.
Capacity, performance, availability, and SLA only after validation.
Start with the workload
Share the workload, preferred region, capacity profile, expected start date, and whether you want infrastructure or a managed API.
Email capacity planning [email protected]