Alibaba Cloud vs 1Legion: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Alibaba Cloud and 1Legion. 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
1Legion provides H100 and A100 GPU cloud compute for AI training and inference workloads with competitive on-demand pricing and high-performance NVIDIA hardware. Fast provisioning and straightforward billing make it accessible for startups and research teams that need reliable GPU access for LLM fine-tuning and model deployment without enterprise contracts. A practical on-demand GPU cloud for AI teams that want competitive pricing and dependable hardware performance.
- High-performance hardware
- Competitive pricing
- Fast provisioning
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.
1Legion — specialist provider
1Legion provides H100 and A100 GPU cloud compute for AI training and inference workloads with competitive on-demand pricing and high-performance NVIDIA hardware. Fast provisioning and straightforward billing make it accessible for startups and research teams that need reliable GPU access for LLM fine-tuning and model deployment without enterprise contracts. A practical on-demand GPU cloud for AI teams that want competitive pricing and dependable hardware performance.
Billing model comparison
Alibaba Cloud uses a On-demand, Reserved, Spot billing model with a minimum commitment of None (on-demand). 1Legion uses On-demand billing with a None minimum. Alibaba Cloud's no-commitment on-demand model is more flexible for short-term or experimental workloads, while 1Legion's commitment requirement suits teams with predictable long-running jobs.
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. 1Legion is best suited for: AI training, Inference workloads, Startups. Its key strengths are high-performance hardware, competitive pricing, fast provisioning. As a hyperscaler, Alibaba Cloud offers broader ecosystem integration and compliance certifications at a premium price. 1Legion as a specialist provider typically offers lower per-GPU rates for teams that don't need the full hyperscaler ecosystem.
Support tiers and region coverage
Alibaba Cloud offers Basic → Enterprise support across 4 regions (CN, APAC, EU and 1 more). 1Legion offers Standard support across 1 region (US). Alibaba Cloud'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 1Legion
Alibaba Cloud was founded in 2009 and is headquartered in Hangzhou, China. 1Legion was founded in 2023 and is headquartered in United States. Alibaba Cloud has 14 years more operational history than 1Legion, 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.