AWS vs Cyfuture AI: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for AWS and Cyfuture AI. Updated July 2026.
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
Cyfuture AI is an Indian cloud provider offering H100 and A100 GPU instances for AI and ML workloads with competitive pricing tailored to the South Asian market and local support for Indian enterprises. On-demand billing and India-based data centers make it a practical choice for Indian AI teams with data residency requirements or latency-sensitive inference workloads. A strong domestic option for Indian organizations that want GPU compute without routing data through international cloud providers.
- India presence
- Competitive pricing
- Local support
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.
Cyfuture AI — specialist provider
Cyfuture AI is an Indian cloud provider offering H100 and A100 GPU instances for AI and ML workloads with competitive pricing tailored to the South Asian market and local support for Indian enterprises. On-demand billing and India-based data centers make it a practical choice for Indian AI teams with data residency requirements or latency-sensitive inference workloads. A strong domestic option for Indian organizations that want GPU compute without routing data through international cloud providers.
Billing model comparison
AWS uses a On-demand, Reserved (1yr/3yr), Spot billing model with a minimum commitment of None (on-demand). Cyfuture AI 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 Cyfuture AI'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. Cyfuture AI is best suited for: Indian AI teams, South Asian workloads, Cost-sensitive projects. Its key strengths are india presence, competitive pricing, local support. As a hyperscaler, AWS offers broader ecosystem integration and compliance certifications at a premium price. Cyfuture AI 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). Cyfuture AI offers Standard support across 1 region (IN). 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 Cyfuture AI
AWS was founded in 2006 and is headquartered in Seattle, WA. Cyfuture AI was founded in 2001 and is headquartered in Noida, India. Cyfuture AI has 5 years more operational history than AWS, 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.