Best Cloud for Machine Learning (2026)
Compare cloud providers for ML workloads based on GPU instance pricing and ML platform costs.
- + Cheapest for GPU Compute and ML Platform and AI API
- + AI API from $0.0000/hr median
- + 459 tiers for fine-grained rightsizing
Provider Rankings
| Rank | Provider | Score | Tiers | Categories |
|---|---|---|---|---|
| #1 | GCP | 100 | 459 | GPU Compute, ML Platform, AI API |
| #2 | AWS | 47 | 1272 | GPU Compute, ML Platform, AI API |
| #3 | Azure | 33 | 1778 | GPU Compute, ML Platform, AI API |
Median Price by Category
Median on-demand hourly price (US East region, Linux). Lower is better.
| Provider | GPU Compute | ML Platform | AI API |
|---|---|---|---|
| GCP | $0.6759/hr | $0.004900/hr | Free tier |
| AWS | $1.46/hr | $0.9360/hr | $0.000600/hr |
| Azure | $1.16/hr | $3.30/hr | $0.008100/hr |
Provider Details
- + Cheapest for GPU Compute and ML Platform and AI API
- + AI API from $0.0000/hr median
- + 459 tiers for fine-grained rightsizing
- + AI API from $0.0006/hr median
- + 1272 tiers for fine-grained rightsizing
- - Most expensive for GPU Compute
- + AI API from $0.0081/hr median
- + 1778 tiers for fine-grained rightsizing
- - Most expensive for ML Platform
- - Most expensive for AI API
Methodology
Scores are calculated from real on-demand pricing data (US East region, Linux). For each service category, providers are ranked by median hourly price. A provider's score is the average of its per-category rankings (1st = 100, last = 20), multiplied by a coverage factor — providers missing required categories are penalized. Data source: official cloud provider APIs, updated daily.
Last updated: April 6, 2026
FAQ
What is the best cloud provider for machine learning?
Based on on-demand pricing data, GCP scores highest for this workload with a score of 100/100. 3 providers were compared across 3 service categories.
How are the scores calculated?
Scores are calculated from real on-demand pricing data (US East region, Linux). For each service category, providers are ranked by median hourly price. A provider's score is the average of its per-category rankings (1st = 100, last = 20), multiplied by a coverage factor — providers missing required categories are penalized. Data source: official cloud provider APIs, updated daily.
What budget should I plan for data scientists and ml engineers?
Typical monthly spend for this workload ranges from $500–50,000/mo. The actual cost depends on traffic, data volume, and specific service choices.