Provider Overview
Strengths & Best For
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
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
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.
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
AWS uses a On-demand, Reserved (1yr/3yr), Spot billing model with a minimum commitment of None (on-demand). 1Legion uses On-demand billing with a None minimum. AWS'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
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. 1Legion is best suited for: AI training, Inference workloads, Startups. Its key strengths are high-performance hardware, competitive pricing, fast provisioning. As a hyperscaler, AWS 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
AWS offers Basic → Enterprise support across 5 regions (us-east-1, us-west-2, eu-west-1 and 2 more). 1Legion offers Standard support across 1 region (US). AWS's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: AWS vs 1Legion
AWS was founded in 2006 and is headquartered in Seattle, WA. 1Legion was founded in 2023 and is headquartered in United States. AWS has 17 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.