Inference that
never goes down.

VectorLay is a distributed GPU overlay network, not a single datacenter. Your inference workloads run across thousands of GPUs with automatic failover — if a node goes down, traffic instantly routes to healthy machines. You get enterprise reliability at up to 90% lower cost because we aggregate consumer and datacenter GPUs from providers worldwide.

We offer H100, H200, A100, RTX 4090, RTX 3090, RTX 4080, RTX 3080, and RTX 4070 Ti GPUs. Pricing starts at $0.19/hr for consumer GPUs and $0.80/hr for datacenter GPUs. All GPUs come with full VRAM and are dedicated to your workload — no sharing or oversubscription.

VectorLay continuously monitors every node in your cluster. When a node becomes unhealthy, our overlay network detects it within milliseconds and reroutes traffic to healthy machines — no manual intervention, no downtime. Your inference endpoint stays live even when individual GPUs fail.

Most clusters are ready in under 2 minutes. You select your GPU type, container image, and replica count — we handle provisioning, networking, and load balancing. You get an HTTPS endpoint immediately and can start sending inference requests as soon as the first node is healthy.

No. VectorLay runs standard Docker containers. If your model runs in a container (vLLM, TGI, Triton, or any custom server), it runs on VectorLay. You get a single HTTPS endpoint that load-balances across all replicas — just point your client at it.

No contracts, no minimums. Pay per hour for the GPUs you use. You can spin up and tear down clusters at any time. We also offer volume discounts and reserved pricing for teams running sustained workloads — contact us for details.