OpenRelay
OpenRelay operates an inference delivery network that automatically routes AI requests to the best available GPU based on latency, cost, availability, and performance SLAs. The platform offers an OpenAI- and Anthropic-compatible endpoint, dedicated GPU rentals with root SSH access, and a supply side where hardware owners can enroll nodes and receive monthly payouts. All management is available through a CLI or API, enabling both developers and AI agents to deploy and scale infrastructure programmatically.
- Artificial Intelligence
- Developer Tools
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
AI applications and agents face inconsistent inference performance and unpredictable costs when requests are routed to suboptimal GPU infrastructure. Developers must manually manage capacity across providers or settle for a single cloud, leading to latency spikes, availability gaps, and higher expenses at scale.
Solution
OpenRelay operates an inference delivery network that automatically routes each API request to the best available GPU based on latency, cost, availability, and performance SLAs. The platform exposes an OpenAI- and Anthropic-compatible endpoint, so developers can point existing SDKs at OpenRelay without changing their code. The network dynamically shifts traffic between serving sites, failsover degraded nodes, and incorporates spot capacity that joins when GPUs free up. OpenRelay also provides dedicated GPU rentals with root SSH access, plus a supply side where GPU and CPU node owners can enroll hardware and receive payouts. All management is available through a CLI or API, allowing both human developers and AI agents to deploy, monitor, and scale infrastructure programmatically.
Target Audience
Primary customers are AI application developers, agents, and batch processing workloads that need OpenAI- and Anthropic-compatible inference at scale, as well as teams requiring dedicated GPU compute with root access. GPU and CPU hardware owners seeking to monetize idle capacity also form a key user segment.
Features
- OpenAI- and Anthropic-compatible API endpoint billed per token with no minimum, enabling drop-in integration with existing SDKs
- Automatic request routing across geographically distributed sites based on real-time latency, health, and capacity headroom
- Spot capacity management where GPU nodes join the network when free and drain before being reclaimed, lowering costs
- GPU rental service with root SSH access, custom images, and persistent volumes, billed hourly
- CLI tool that wraps the full REST API for deploying VMs, opening SSH sessions, checking balances, and managing keys
- Supply-side enrollment for GPU and CPU node owners, with OpenRelay handling scheduling, billing, and monthly payouts
- Flat monthly rate option for reserved throughput, with queued async requests at 20% off and batch processing within 24 hours at 50% off Sync rates