About Velar
Velar is a serverless GPU cloud platform built for AI developers and startups. We make it possible to run machine learning workloads on GPU — inference, training, batch processing — without managing any infrastructure.
We are in public beta and growing. Our mission is to make GPU computing accessible to every developer, not just those with enterprise budgets or DevOps teams.
What we built
Running AI workloads on GPU has historically required significant infrastructure knowledge — Dockerfiles, container registries, Kubernetes clusters, GPU drivers, CUDA versions. Most developers just want to run a Python function on an A100 and get a result back.
Velar solves this with a Python-native SDK. You decorate a function, specify the GPU and dependencies, and call app.deploy(). Velar builds the container, provisions the GPU, and returns results to your local process. Per-second billing means you pay only for actual compute time.
We support the full range of GPU workloads: real-time inference, batch processing, model fine-tuning, and long-running training jobs. All from the same Python SDK.
What we care about
Accessible by default
GPU computing should not require a DevOps team. We built Velar so that any developer who can write Python can run AI workloads on GPU.
Honest pricing
Per-second billing, no hidden fees, no minimums. We show you exactly what you will pay before you deploy.
Developer experience first
No YAML files, no container registries, no SSH sessions. You write Python, we handle the infrastructure.
Ready to get started?
$10 in free credits. No credit card required.