Vast.ai
Cheapest GPU cloud — peer-to-peer marketplace for budget training
- Absolute cheapest GPU compute available
- Widest GPU variety including consumer cards
Cheapest GPU clouds · April 2026
Rent GPU compute from $0.10/h. 8 budget GPU clouds ranked by raw price — with the trade-offs spelled out.
If your priority is squeezing maximum compute out of every dollar, four GPU clouds dominate the budget tier in 2026: Vast.ai, RunPod, Hetzner GPU, and Paperspace. Hyperscalers (AWS, GCP, Azure) are systematically 3–5× more expensive for raw GPU compute and only make sense if you need their proprietary ML services.
The cheapest GPU clouds use one or more of these tactics:
Reality check: the cheapest tier requires fault-tolerant code (checkpointing, retry logic). For always-on production inference, add 50–80% to the sticker price for "Secure" or "On-Demand" tiers.
| Provider | Starting Price | Top GPUs | Highlights | Rating | CTA |
|---|---|---|---|---|---|
| Vast.ai Editor's Choice | from $0.10/h | RTX 3090, RTX 4090, A100 ≤80GB |
| ★★★★☆ | View pricing |
| RunPod Editor's Choice | from $0.16/h | RTX A5000, RTX 3090, RTX 4090 ≤80GB |
| ★★★★★ | View pricing |
| Hetzner GPU | from €0.35/h | RTX 4000 SFF Ada, RTX PRO 6000 ≤96GB |
| ★★★★☆ | View pricing |
| Paperspace | from $0.45/h | A100, A6000, RTX 4000 ≤80GB |
| ★★★★☆ | View pricing |
| OVH GPU | from €0.45/h | T4, V100, A100 ≤80GB |
| ★★★★☆ | View pricing |
| AWS GPU (EC2) | from $0.526/h | T4, A100, H100 ≤80GB |
| ★★★★☆ | View pricing |
| Azure GPU (NC T4/A100) | from $0.526/h | T4, A100, H100 ≤80GB |
| ★★★★☆ | View pricing |
| Lambda Labs Editor's Choice | from $0.69/h | Quadro RTX 6000, A100 40GB, A100 80GB ≤80GB |
| ★★★★★ | View pricing |
Cheapest GPU cloud — peer-to-peer marketplace for budget training
Best value GPU cloud — huge selection, community + secure cloud
Affordable EU GPU cloud — RTX 4000 Ada at European prices
Gradient notebooks + GPU VMs — great for ML teams
European GPU cloud with NVIDIA T4 and V100 options
Largest GPU fleet worldwide — T4 entry, P4/P5 for enterprise
Vast.ai community pricing starts at $0.10/h for interruptible RTX 3090 instances. This is consumer hardware on a marketplace — providers can pull instances anytime, so you need checkpointing in your training loop. For reliable cheap compute, RunPod Community at $0.20/h is the better baseline.
No, not the marketplace/community tiers. Use them for: batch training with checkpoints, hobby projects, hyperparameter sweeps, batch inference. For production APIs, use RunPod Secure ($0.59/h+), Lambda Labs, or Hetzner GPU — still cheap, but with uptime SLAs.
AWS bundles its GPU compute with proprietary services (SageMaker, IAM, VPC, support tiers) and prices for enterprise customers who value the ecosystem. For pure compute, you pay 3-5× more. Specialist clouds skip this overhead. Use AWS only when you need its ecosystem.
Vast.ai 4090 community at $0.34/h or RunPod Community 4090 at $0.39/h. Both fit Llama 3 8B QLoRA in 24GB. Total run cost for a typical fine-tune (~12 hours): $4-5. Compare to AWS at $3.06/h = $37 for the same job.
Persistent storage ($0.10–0.20/GB/month), egress data transfer ($0.05-0.12/GB), static IPs ($3-10/month), and idle time charges (some providers bill for stopped pods retaining storage). RunPod and Vast.ai are the most transparent; hyperscalers have the worst hidden cost reputation.
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