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Modern AI companies need scalable GPU power without the cost, limits, and complexity of centralized clouds. OpenGPU provides a global network of providers that lets teams scale inference, generation, and automation without running their own GPU infrastructure.
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Scale instantly

Scale instantly

Access GPUs on demand across a global provider mesh. Grow capacity during traffic spikes without reserving clusters.

Reduce costs

Reduce costs

Up to 60 to 80 percent cheaper than centralized clouds thanks to decentralized providers and no idle GPU waste.

Run any workload

Run any workload

LLM inference, embeddings, agents, generative media, and batch processing all run through the same routing layer.

Reliable by design

Reliable by design

Automatic retries, failover, and real time health checks ensure jobs continue even when individual providers drop.

Simple integration

Simple integration

Connect with HTTPS APIs like Relay or integrate directly with OpenGPU workflow tools. No DevOps or GPU management needed.

Enterprise ready

Enterprise ready

Request routing, usage tracking, cost controls, audit logs, and full visibility through the management dashboard.

OpenGPU Network
Benchmark OpenGPU against
any cloud.
Measure inference or training workloads on distributed GPUs
with instant elasticity and real world performance.
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