VectorLay is a GPU inference platform that deploys containerized ML models onto a distributed network of GPU nodes. Unlike traditional GPU clouds that rely on single data centers, VectorLay uses a fault-tolerant overlay architecture — if a node goes down, your workload automatically migrates to a healthy node with zero downtime and no manual intervention. Built for teams running always-on inference at scale, VectorLay offers RTX 4090s at $0.49/hr and RTX 3090s at $0.29/hr — 30-40% cheaper than alternatives like RunPod. There are no egress fees, no storage surcharges, and no minimum commitments. Billing is per-minute for exactly what you use. Each workload runs in an isolated VM with VFIO GPU passthrough, providing near-bare-metal GPU performance with hardware-level security boundaries. Deployment is simple: push a Docker container and go — no Kubernetes, no YAML manifests, no infrastructure management.