OpenRelay provides hosted AI model inference, dedicated GPU virtual machines, and batch computing through an OpenAI-compatible API with usage-based pricing.

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OpenRelay is an AI infrastructure platform for hosted model inference and on-demand GPU computing. It enables developers and teams to run AI workloads through a unified, OpenAI-compatible API, with access to models from providers such as DeepSeek, Llama, Qwen, Mistral, Gemma, and GPT-OSS. Requests can be automatically routed based on latency, cost, availability, and model performance. The platform supports serverless inference, dedicated GPU virtual machines, and batch jobs for both interactive and high-volume workloads. Users can select GPU resources, deploy custom environments, connect through SSH, and use persistent volumes for data that survives restarts. OpenRelay also provides automatic failover and load balancing across available infrastructure, along with command-line and MCP integrations for managing deployments, usage, and compute resources from development tools or automated workflows.

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