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Guide

GPU Cloud Pricing Guide: Complete Breakdown 2026

2026/3/1
15 min で読める

GPU Cloud Pricing Guide: Complete Breakdown 2026

GPU cloud pricing is notoriously complex. Different providers charge different rates, add various fees, and structure billing in different ways. This comprehensive guide breaks down the true cost of GPU cloud across every major provider so you can make an informed decision.

The Major GPU Cloud Providers

In 2026, there are 15+ GPU cloud providers worth considering. Here are the top ones ranked by market share:

AWS: - Largest selection, highest prices

Google Cloud (GCP): - Strong TPU alternative

Microsoft Azure: - Enterprise-focused

RunPod: - Best for individuals and startups

Lambda Labs: - Developer-friendly

Vast.ai: - Cheapest marketplace

Paperspace (by DigitalOcean): - Easy to use

CoreWeave: - GPU-native cloud

FluidStack: - Aggregator model

Vultr: - Simple GPU cloud

Complete Pricing Table (March 2026)

NVIDIA H100 80GB SXM

| Provider | On-Demand | Spot | Monthly (reserved) |

|----------|----------|------|--------------------|

| RunPod | $2.49/hr | $1.49/hr | $1,499/mo |

| Lambda Labs | $2.49/hr | $1.79/hr | $1,649/mo |

| Vast.ai | $2.60/hr | $1.55/hr | N/A |

| CoreWeave | $2.89/hr | N/A | $1,799/mo |

| Paperspace | $3.09/hr | N/A | N/A |

| AWS (p5.xlarge) | $3.89/hr | $1.56/hr | $2,199/mo |

| Azure (ND H100) | $3.67/hr | $1.47/hr | $2,099/mo |

| GCP (a3-highgpu) | $3.79/hr | $1.52/hr | $2,149/mo |

NVIDIA A100 80GB SXM

| Provider | On-Demand | Spot | Monthly (reserved) |

|----------|----------|------|--------------------|

| Vast.ai | $1.69/hr | $0.89/hr | N/A |

| RunPod | $1.89/hr | $1.09/hr | $999/mo |

| Lambda Labs | $1.99/hr | $1.29/hr | $1,099/mo |

| FluidStack | $2.09/hr | $0.99/hr | N/A |

| Paperspace | $2.49/hr | N/A | N/A |

| CoreWeave | $2.39/hr | N/A | $1,299/mo |

| AWS (p4d.xlarge) | $2.79/hr | $1.12/hr | $1,599/mo |

| Azure (ND A100) | $2.69/hr | $1.08/hr | $1,549/mo |

NVIDIA A100 40GB

| Provider | On-Demand | Spot |

|----------|----------|------|

| Vast.ai | $1.09/hr | $0.49/hr |

| RunPod | $1.29/hr | $0.69/hr |

| Lambda Labs | $1.29/hr | $0.79/hr |

| Paperspace | $1.89/hr | N/A |

| AWS (p4d.xlarge) | $2.21/hr | $0.88/hr |

NVIDIA RTX 4090

| Provider | On-Demand | Spot |

|----------|----------|------|

| Vast.ai | $0.39/hr | $0.19/hr |

| RunPod | $0.44/hr | $0.24/hr |

| FluidStack | $0.49/hr | $0.22/hr |

| Paperspace | $0.69/hr | N/A |

NVIDIA RTX 4080

| Provider | On-Demand | Spot |

|----------|----------|------|

| Vast.ai | $0.29/hr | $0.14/hr |

| RunPod | $0.34/hr | $0.18/hr |

| FluidStack | $0.39/hr | $0.17/hr |

Hidden Costs to Watch For

GPU pricing is not just the hourly rate. Here are hidden costs that can significantly increase your bill:

1. Storage Costs

  • RunPod:: $0.10/GB/month for network volumes
  • Vast.ai:: $0.02-0.05/GB/month (varies by host)
  • AWS EBS:: $0.08-0.10/GB/month
  • Lambda Labs:: Free persistent storage (limited)
  • 2. Data Transfer (Egress)

  • RunPod:: Free (unlimited)
  • Vast.ai:: Free (unlimited)
  • AWS:: $0.09/GB after first 100GB
  • GCP:: $0.08-0.12/GB
  • Azure:: $0.05-0.08/GB
  • 3. Idle Instance Costs

  • RunPod:: $0.00 when stopped (only storage fees)
  • Vast.ai:: $0.00 when stopped
  • AWS:: Full price until terminated
  • Lambda Labs:: Full price until terminated
  • 4. Minimum Billing Periods

  • Most providers:: Per-second billing
  • AWS:: Per-second (minimum 60 seconds)
  • Some Vast.ai hosts:: 1-hour minimum
  • How to Calculate Your True Monthly Cost

    Use this formula:

    ```

    True Monthly Cost = (GPU $/hr x hours used)

    + (Storage GB x $/GB/month)

    + (Egress GB x $/GB)

    + (Setup/teardown time x $/hr)

    ```

    Example: Running A100 80GB for Training, 160 hrs/month

    **RunPod:**

  • GPU: $1.89 x 160 = $302.40
  • Storage (100GB): $10.00
  • Egress: $0
  • **Total: $312.40/mo**
  • **AWS:**

  • GPU: $2.79 x 160 = $446.40
  • Storage (100GB EBS): $10.00
  • Egress (50GB): $4.50
  • **Total: $460.90/mo**
  • **Savings with RunPod: $148.50/mo (32%)**

    Money-Saving Strategies

    1. Use Spot Instances

    Save 40-60% on training workloads that can handle interruptions.

    2. Reserved Instances

    Save 20-35% with monthly or annual commitments.

    3. Right-Size Your GPU

    Do not pay for H100 if A100 or RTX 4090 handles your workload.

    4. Use Off-Peak Hours

    Spot prices are typically 10-20% lower during nights and weekends.

    5. Compare Regularly

    Prices change weekly. Use BestGPUCloud to monitor.

    6. Optimize Training

  • Use mixed precision (bf16/fp16) - 2x faster, same cost
  • Implement gradient checkpointing - reduce VRAM needs
  • Use efficient data loading - minimize GPU idle time
  • Provider Recommendations by Use Case

    | Use Case | Best Provider | Why |

    |----------|--------------|-----|

    | Startup (budget-first) | Vast.ai | Cheapest prices overall |

    | Startup (reliability-first) | RunPod | Better uptime, serverless |

    | Enterprise | AWS or CoreWeave | SLAs, compliance, support |

    | Research/Academic | Lambda Labs | Simple pricing, good docs |

    | Inference APIs | RunPod Serverless | Pay-per-request, auto-scaling |

    | Batch training | Vast.ai Spot | Lowest cost per training run |

    | Image generation | RunPod (RTX 4090) | Best templates, easy setup |

    Price Trends and Predictions

    GPU cloud prices have been steadily declining:

  • H100 prices: dropped 25% since launch (mid-2024)
  • A100 prices: dropped 40% since 2024
  • RTX 4090 prices: dropped 35% since 2024
  • We expect prices to continue falling 15-20% per year as:

  • NVIDIA B100/B200 GPUs enter the market
  • More providers compete for customers
  • Supply catches up with demand
  • The Bottom Line

    The GPU cloud market in 2026 offers more options and lower prices than ever. For most users, **RunPod and Vast.ai offer the best value**, while **AWS and Azure** are best for enterprises needing SLAs. Always compare prices across providers -- differences of 30-50% are common for the same GPU.

    Compare all providers and save -->

    MC

    Marina Costa

    Cloud Infrastructure Lead

    Managed GPU clusters at three different cloud providers before joining BestGPUCloud. I know firsthand why provider X charges 30% more — and whether it's worth it.

    Cloud InfrastructureKubernetesMulti-cloudCost Management

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