About OpenRelay

Resilient compute,
for everyone.

OpenRelay is a distributed overlay network for GPU inference. We connect consumer GPUs into a fault-tolerant mesh. Nodes can fail — we don't care. Traffic automatically routes around failures. Anyone can join.

overlay_networkhealthy
iad1
Virginia
92%
sfo3
San Francisco
68%
ord1
Chicago
44%
ams1
Amsterdam
57%
regions online4 / 4

The thesis

Designed for failure.

Centralized clouds treat a failed node as an outage. We treat it as a Tuesday. The network expects nodes to drop — and routes around them before you notice.

scheduler.eventslive
node-iad-04
serving
node-iad-09
draining
node-sfo-02
serving
node-ord-07
serving
! node-iad-09 unreachable
→ rerouted 312 req to node-iad-04 in 38ms
01

Detect

Health checks flag an unreachable node within milliseconds — no waiting on timeouts.

02

Reroute

In-flight and new requests shift to the nearest healthy GPU automatically.

03

Heal

The failed node drains and rejoins when it recovers. No manual intervention.

Our values

The principles that guide everything we build.

01

Fault Tolerance First

We design for failure. Nodes go down, networks partition — your workloads keep running. Resilience is the default, not a feature.

02

Decentralized by Design

No single datacenter, no single point of failure. Our overlay spans the globe.

03

Open Participation

Anyone can join the network. Have a 4090 sitting idle? Contribute compute and earn.

04

Simple Abstractions

Deploy inference workloads with one API call. We handle routing, failover, and load balancing.

Careers

Join the team.

We're a small team building the CDN of inference — distributed systems, GPU infrastructure, and developer experience. If routing around failure at global scale sounds like your kind of problem, we'd love to hear from you.

Let's build the future together

Whether you want to deploy on our network, provide compute, or join our team.