Enterprise
Enterprise GPU capacity, billed for use.
Reserve GPUs and dedicated clusters for production AI. SLAs, invoicing, regional deployment and up to 70% lower cost than traditional cloud.
Live network
325+
Active providers
98.2%
Task success rate
<2s
Average routing time
99.4%
Verified uptime
Where the savings come from
Why enterprise GPU costs drop by up to 70%.
The average cloud GPU sits idle most of the time, and you still pay for it, plus a 30–50% provider margin. OpenGPU removes both.
Traditional cloud
Pay per hour, even when idle. Cloud margin on top. Reserve instances or pay a premium.
OpenGPU
Pay only for compute used. Direct to providers. No reservations, instant access.
Estimate
GPU cost calculator.
Estimate only. A pilot on your real workload gives you an exact number.
Estimated annual savings · 70%
$420,000
Technical specifications
Enterprise GPU cloud specifications.
Security
- Encrypted execution environments
- Isolated Docker containers
- No persistent data storage for tasks
- Audit logs available
- SOC 2 Type II in progress
Integration
- REST API and Python SDK
- OpenAI-compatible endpoints
- Docker support
- Webhook callbacks
- PyTorch, TensorFlow, JAX
Enterprise ready
- SLAs up to 99.9% with financial backing
- Invoices and custom billing
- Usage tracking and cost controls
- Reserved instances and dedicated clusters
- Regional deployments with zero data retention
- Dedicated solutions support
- Hardware
- H100, A100, RTX 4090, CPUs and AI accelerators
- Regions
- Global, 40+ locations
- Uptime
- 99.4% (verified)
- Routing latency
- <2 seconds
- Billing
- Per token · per task · per hour · invoice
- Contracts
- None for on-demand; agreement for dedicated capacity
Enterprise billing that works like any cloud.
Relay puts the OpenGPU Network behind one HTTPS endpoint with full fiat billing, so procurement and finance teams can buy decentralized compute the same way they buy AWS.
Monthly invoices
Standard payment methods and procurement-friendly terms.
Cost visibility
Per-key analytics and predictable spend.
Automatic failover
Retries and re-routing if a provider slows or fails.
Run metadata
Every result comes back with execution details.
Request GPU capacity
Request enterprise GPU capacity.
Tell us what you need: hardware, quantity, duration and region. Our team sources matching capacity from datacenters and providers on the network and comes back with a quote.
- Single instances to multi-node clusters
- Hourly, monthly or long-term reservations
- Regional deployment and data residency options
- SLAs, invoicing and dedicated support
Prefer email? Write to [email protected]
Pilot program
Run a GPU pilot on your workload.
Evaluate inference, training or generative workloads on OpenGPU side by side with your current provider. We review every submission the same day.
- Task-based billing: pay only for executed work
- Real workloads, not demos or toy tasks
- Network-level reliability with auto failover
- Verified execution of every task