Alibaba Cloud vs AWS: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Alibaba Cloud and AWS. Updated July 2026.
Provider Overview
Strengths & Best For
Alibaba Cloud (Aliyun) is Asia's largest cloud provider, offering ECS GPU instances with A100, H100, and V100 across China and Southeast Asia with competitive APAC pricing and on-demand, reserved, and spot billing options. Deep integration with Alibaba's ecosystem and strong China presence make it the default GPU cloud for enterprises operating in the Chinese market or running AI workloads across Southeast Asia. A top choice for APAC-focused organizations that need broad regional coverage and competitive GPU pricing in Asia.
- APAC coverage
- China presence
- Competitive pricing
- Deep ecosystem
AWS offers on-demand, reserved, and spot GPU instances across EC2 P4d (A100), P5 (H100), and G6 (L40S) families, spanning 30+ global regions with enterprise SLAs and deep ML tooling via SageMaker. H100 and A100 clusters are available with InfiniBand networking for distributed LLM training and large-scale AI inference. The broadest ecosystem of any GPU cloud provider, making it the default choice for enterprises already invested in the AWS stack.
- Widest global region coverage
- Deep ecosystem integrations
- Enterprise SLAs
- Reserved instance discounts
Live GPU Pricing
Region Coverage
Popular Comparisons
Alibaba Cloud — hyperscaler provider
Alibaba Cloud (Aliyun) is Asia's largest cloud provider, offering ECS GPU instances with A100, H100, and V100 across China and Southeast Asia with competitive APAC pricing and on-demand, reserved, and spot billing options. Deep integration with Alibaba's ecosystem and strong China presence make it the default GPU cloud for enterprises operating in the Chinese market or running AI workloads across Southeast Asia. A top choice for APAC-focused organizations that need broad regional coverage and competitive GPU pricing in Asia.
AWS — hyperscaler provider
AWS offers on-demand, reserved, and spot GPU instances across EC2 P4d (A100), P5 (H100), and G6 (L40S) families, spanning 30+ global regions with enterprise SLAs and deep ML tooling via SageMaker. H100 and A100 clusters are available with InfiniBand networking for distributed LLM training and large-scale AI inference. The broadest ecosystem of any GPU cloud provider, making it the default choice for enterprises already invested in the AWS stack.
Billing model comparison
Alibaba Cloud uses a On-demand, Reserved, Spot billing model with a minimum commitment of None (on-demand). AWS uses On-demand, Reserved (1yr/3yr), Spot billing with a None (on-demand) minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Alibaba Cloud is best suited for: China/APAC workloads, Enterprises in Asia, Teams using Alibaba services. Its key strengths are apac coverage, china presence, competitive pricing. AWS is best suited for: Enterprise workloads, Production ML inference, Teams already on AWS. Its key strengths are widest global region coverage, deep ecosystem integrations, enterprise slas. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Alibaba Cloud offers Basic → Enterprise support across 4 regions (CN, APAC, EU and 1 more). AWS offers Basic → Enterprise support across 5 regions (us-east-1, us-west-2, eu-west-1 and 2 more). AWS's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Alibaba Cloud vs AWS
Alibaba Cloud was founded in 2009 and is headquartered in Hangzhou, China. AWS was founded in 2006 and is headquartered in Seattle, WA. AWS has 3 years more operational history than Alibaba Cloud, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.