Azure vs Cyfuture AI: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Azure and Cyfuture AI. Updated July 2026.
Provider Overview
Strengths & Best For
Microsoft Azure offers ND H100 v5 and NC A100 v4 series VMs across 60+ regions, with enterprise compliance certifications including HIPAA, FedRAMP, and SOC 2 built in. Deep Active Directory and hybrid cloud integration makes it the natural GPU cloud for Microsoft-centric organizations running LLM fine-tuning or AI inference at scale. On-demand, reserved, and spot GPU billing options are available with flexible commitment terms.
- Enterprise compliance
- Active Directory integration
- Hybrid cloud
- Microsoft 365 ecosystem
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
Azure — hyperscaler provider
Microsoft Azure offers ND H100 v5 and NC A100 v4 series VMs across 60+ regions, with enterprise compliance certifications including HIPAA, FedRAMP, and SOC 2 built in. Deep Active Directory and hybrid cloud integration makes it the natural GPU cloud for Microsoft-centric organizations running LLM fine-tuning or AI inference at scale. On-demand, reserved, and spot GPU billing options are available with flexible commitment terms.
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
Azure uses a Pay-as-you-go, Reserved (1yr/3yr), Spot billing model with a minimum commitment of None (pay-as-you-go). Cyfuture AI uses On-demand billing with a None 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
Azure is best suited for: Enterprise ML, Windows-based workloads, Teams on Microsoft stack. Its key strengths are enterprise compliance, active directory integration, hybrid cloud. 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, Azure 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
Azure offers Basic → Premier support across 5 regions (eastus, westus2, westeurope and 2 more). Cyfuture AI offers Standard support across 1 region (IN). Azure's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Azure vs Cyfuture AI
Azure was founded in 2010 and is headquartered in Redmond, WA. Cyfuture AI was founded in 2001 and is headquartered in Noida, India. Cyfuture AI has 9 years more operational history than Azure, 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.