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A distributed network of 10,000+ GPUs placed close to your users. Lower latency, automatic failover, no single datacenter to take you down.
Trusted by AI teams at startups and research labs
Available hardware
A distributed fleet of RTX 3090s, 4090s, H100s and more — placed near your users. If one node goes down, your inference doesn't.
Hopper
Hopper
Ampere
Ada Lovelace
Ampere
Ada Lovelace
Ampere
Ada Lovelace
Pricing
Access the same GPU hardware at a fraction of the cost. Pay per hour with no commitments, contracts, or hidden fees.
| GPU | VectorLay | AWS | Azure | GCP | Savings |
|---|---|---|---|---|---|
| H100 80GB | $1.20/hr | $12.80/hr | $11.56/hr | $10.94/hr | Up to 90% |
| A100 80GB | $0.80/hr | $5.12/hr | $4.60/hr | $4.30/hr | Up to 84% |
| RTX 4090 | $0.29/hr | — | — | — | Exclusive |
| RTX 3090 | $0.29/hr | — | — | — | Exclusive |
Why VectorLay
Centralized GPU clouds put your model in one region and hope your users are nearby. VectorLay runs inference across an edge network — closer, faster, and resilient when nodes fail.
Nodes go down, we don't care. Traffic instantly routes to healthy machines—zero manual intervention required.
Thousands of GPUs distributed across the globe. Requests land on the closest healthy node — not a single datacenter half a continent away.
Requests are automatically balanced across available nodes. Scale up or down without reconfiguration.
Anyone can join and contribute GPU compute to the network. Earn by sharing your idle RTX 3090s and 4090s.
Deploy inference workloads with a single API call. We handle routing, failover, and load balancing.
Built for failure. The network expects nodes to fail and handles it gracefully—your workloads keep running.
FAQ
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.
Explore
Deploy fault-tolerant inference in minutes, or contribute your GPUs to earn.
Have a fleet of 3090s or 4090s? Join as a compute provider and earn.