Independent comparison Updated April 2026 10 GPU providers tested Real hourly pricing
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Cheapest GPU clouds · April 2026

Cheapest GPU Cloud Providers 2026

Rent GPU compute from $0.10/h. 8 budget GPU clouds ranked by raw price — with the trade-offs spelled out.

How to actually save money on GPU compute

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:

  • Marketplace model (Vast.ai) — peer-to-peer auction drives prices to commodity
  • Community / interruptible tier (RunPod, Vast) — host can take instances offline, 50-70% cheaper
  • Consumer GPUs (RTX 3090/4090 instead of datacenter A100/H100) for compatible workloads
  • EU sovereign infrastructure (Hetzner) — lower energy/real-estate costs than US datacenters

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.

ProviderStarting PriceTop GPUsHighlightsRatingCTA
Hetzner GPUfrom €0.35/hRTX 4000 SFF Ada, RTX PRO 6000 ≤96GB
  • Best GPU pricing in Europe
  • GDPR and EU data residency compliant
★★★★☆ 4.2View pricing
Paperspacefrom $0.45/hA100, A6000, RTX 4000 ≤80GB
  • Best notebook experience of any cloud GPU
  • Team collaboration features built-in
★★★★☆ 4.3View pricing
OVH GPUfrom €0.45/hT4, V100, A100 ≤80GB
  • Strong EU data sovereignty guarantees
  • Established cloud provider with SLA
★★★★☆ 3.9View pricing
AWS GPU (EC2)from $0.526/hT4, A100, H100 ≤80GB
  • Most comprehensive ML toolchain (SageMaker)
  • Spot instances for massive cost savings
★★★★☆ 4.2View pricing
Azure GPU (NC T4/A100)from $0.526/hT4, A100, H100 ≤80GB
  • Deep OpenAI / Azure OpenAI integration
  • Best choice for Microsoft-stack enterprises
★★★★☆ 4.1View pricing
#1
V

Vast.ai

Cheapest GPU cloud — peer-to-peer marketplace for budget training

from $0.10/h ★ 4.1
  • Absolute cheapest GPU compute available
  • Widest GPU variety including consumer cards
View pricing →
Price accurate?
#2
R

RunPod

Best value GPU cloud — huge selection, community + secure cloud

from $0.16/h ★ 4.6
  • Cheapest community GPUs from $0.16/h
  • Massive GPU variety including H100
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Price accurate?
#3

Hetzner GPU

Affordable EU GPU cloud — RTX 4000 Ada at European prices

from €0.35/h ★ 4.2
  • Best GPU pricing in Europe
  • GDPR and EU data residency compliant
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Price accurate?
#4

Paperspace

Gradient notebooks + GPU VMs — great for ML teams

from $0.45/h ★ 4.3
  • Best notebook experience of any cloud GPU
  • Team collaboration features built-in
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Price accurate?
#5

OVH GPU

European GPU cloud with NVIDIA T4 and V100 options

from €0.45/h ★ 3.9
  • Strong EU data sovereignty guarantees
  • Established cloud provider with SLA
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Price accurate?
#6

AWS GPU (EC2)

Largest GPU fleet worldwide — T4 entry, P4/P5 for enterprise

from $0.526/h ★ 4.2
  • Most comprehensive ML toolchain (SageMaker)
  • Spot instances for massive cost savings
View pricing →
Price accurate?

Frequently Asked Questions

What is the absolute cheapest GPU cloud in 2026? +

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.

Are cheap GPU clouds reliable enough for production? +

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.

Why is AWS so much more expensive than RunPod? +

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.

Cheapest cloud for fine-tuning Llama 3 8B? +

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.

Hidden costs to watch out for on cheap clouds? +

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.