OpenRelay
Hosted model inference and dedicated GPU VMs on a distributed network
OpenRelay is a distributed overlay network for GPU inference and compute that routes requests across a global mesh of GPUs, handling failures and load spikes automatically. It provides serverless inference behind a single OpenAI-compatible endpoint, dedicated GPU virtual machines with SSH access, pre-built environments, and batch jobs, all through one API.
The platform includes automatic failover, load balancing, and latency-, cost-, and health-aware routing. It offers the orl CLI for command-line deployment and management, plus an MCP server that exposes platform tools to Claude and other MCP clients. Workloads run in isolated VMs with GPU passthrough via VFIO, TLS 1.3 encryption, role-based access control, and audit logging. GPU models range from RTX 3090 to H100, with pre-built environments for CI/CD runners and AI agents.
OpenRelay is aimed at teams running AI inference and training workloads, as well as GPU providers who can contribute hardware to the network. Compute is billed per second or per minute of actual usage with no minimum commitments or egress fees; a free tier is available, and an uptime SLA can be arranged for dedicated capacity.
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