Independent comparison Updated April 2026 10 GPU providers tested Real hourly pricing
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A100 cloud comparison · April 2026

Best A100 Cloud Providers 2026

The cost-effective workhorse for ML — 9 clouds with A100 40GB and 80GB compared. From $1.09/h to $3.67/h for identical hardware.

The A100 market in April 2026

The NVIDIA A100 remains the workhorse for ML in 2026. While H100 has more raw FP8 throughput, A100 wins on cost-effectiveness for fine-tuning models up to 70B parameters, embedding generation, image training and most research workloads.

9 clouds offer A100 on-demand. Price varies 3.4× — from $1.09/h (Vast.ai community 80GB) to $3.67/h (AWS on-demand). Availability is significantly better than H100; stockouts are rare except on hyperscalers during peak hours.

Best value picks: RunPod and Lambda Labs for production reliability, Vast.ai for batch training, Hetzner GPU for EU/GDPR compliance.

ProviderStarting PriceTop GPUsHighlightsRatingCTA
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
C CoreWeavefrom $1.25/hL40S, H100 SXM, A100 SXM ≤80GB
  • Best multi-node GPU cluster performance
  • High-speed InfiniBand interconnects
★★★★☆ 4.4View pricing
Google Cloud GPUfrom $3.67/hA100 40GB, A100 80GB, H100 ≤80GB
  • Best TPU availability for TF workloads
  • Deep Vertex AI + BigQuery integration
★★★★☆ 4.3View 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

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?
#4

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?
#5

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
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Price accurate?
#6

Azure GPU (NC T4/A100)

Microsoft's GPU cloud — T4 entry, best for Azure ML and enterprise AI

from $0.526/h ★ 4.1
  • Deep OpenAI / Azure OpenAI integration
  • Best choice for Microsoft-stack enterprises
View pricing →
Price accurate?

Frequently Asked Questions

A100 40GB or 80GB — which should I rent? +

For Llama-3 8B / Mistral 7B / Stable Diffusion training: 40GB is sufficient and ~30% cheaper. For Llama-3 70B QLoRA, video AI, or batch sizes >32 on 13B models: 80GB. The price gap shrinks further with FlashAttention-3 and 8-bit optimizers.

A100 vs H100 — when is A100 the right choice? +

Choose A100 for: fine-tuning models ≤70B with QLoRA, ML research, image generation, RAG/embedding pipelines, and any workload not bottlenecked by FP8/Transformer Engine. H100 is only worth the premium for full fine-tunes of large models, multi-node training, or production inference of >70B models.

Cheapest A100 80GB available right now? +

Vast.ai community at $1.09/h (interruptible) is the absolute cheapest. For reliable production: RunPod Secure at $1.79/h or Lambda Labs at $1.79/h. AWS p4d on-demand is $3.67/h — avoid unless you need SageMaker integration.

Is A100 still relevant in 2026 with H100 around? +

Yes — A100 is the cost-effective default for most ML workloads. H100 dominates only large-scale training (≥70B full fine-tune, multi-node) and high-throughput FP8 inference. For ~80% of practical ML, A100 80GB is the better buy.

A100 in Europe (GDPR-compliant)? +

Hetzner GPU offers A100 PCIe in Germany and Finland at €0.35/h — the cheapest A100 in Europe. OVH (FR/DE) offers A100 at €0.54/h. Both are GDPR-compliant. CoreWeave also has EU H100/A100 capacity.