GPU Cloud Providers Compared 2026: 9 Platforms Ranked by Price

Nine GPU cloud providers ranked by real hourly prices, from budget to enterprise.

## GPU Cloud Providers Compared 2026 Prices below are public pay-as-you-go rates as of mid-2026; spot and reserved pricing varies. Star counts where relevant from 2026-07-31. ### The rankings (RTX 3090 / A100-class hourly) | Provider | 3090-class | A100-class | Best for | |----------|-----------|------------|----------| | Vast.ai | 0.25-0.35 | 0.70-1.10 | cheapest, flexible | | RunPod | 0.34 | 1.19-1.49 | balance, serverless | | Lambda | 0.39 | 1.29 | dedicated, reliable | | Fluidstack | 0.30-0.40 | 1.10-1.40 | bulk training | | CoreWeave | 0.50-0.60 | 1.50-2.00 | enterprise K8s | | Paperspace | 0.42 | 1.70 | gradient notebooks | | AWS (g5/p4) | 1.00+ | 3.20+ | compliance, scale | | GCP | 1.00+ | 3.50+ | Google ecosystem | | Azure | 1.00+ | 3.70+ | Microsoft ecosystem | ### Key takeaways - The hyperscalers (AWS/GCP/Azure) cost 3-10x the budget providers for the same GPU - Budget providers (Vast, Fluidstack) win on price but you manage more yourself - RunPod and Lambda sit in the middle: reasonable price, good tooling - For managed inference, pay-per-token (Together, Baseten) removes GPU management entirely ### Choosing guide - Student / experiment: Vast.ai spot - Startup serving: RunPod Serverless - Production with SLA: Lambda or CoreWeave - Enterprise compliance: hyperscaler ### FAQ **Are cheaper providers reliable?** Vast.ai is a marketplace - check reputation and run benchmarks before committing. **Which is best for fine-tuning?** RunPod or Lambda with pre-built PyTorch images save setup time.