Hyperstack vs Cyfuture AI: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Hyperstack and Cyfuture AI. Updated July 2026.
Provider Overview
Strengths & Best For
Hyperstack provides NVIDIA-certified H100, A100, and RTX 4090 GPU instances with enterprise-grade support and high availability across US and EU regions. On-demand and reserved billing options are available, making it a reliable on-demand GPU cloud for enterprise AI teams that need certified hardware configurations and responsive support. A strong alternative to hyperscalers for production LLM inference and AI training workloads.
- NVIDIA-certified
- High availability
- EU/US coverage
- Strong support
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
Hyperstack — specialist provider
Hyperstack provides NVIDIA-certified H100, A100, and RTX 4090 GPU instances with enterprise-grade support and high availability across US and EU regions. On-demand and reserved billing options are available, making it a reliable on-demand GPU cloud for enterprise AI teams that need certified hardware configurations and responsive support. A strong alternative to hyperscalers for production LLM inference and AI training workloads.
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
Hyperstack uses a On-demand, Reserved billing model with a minimum commitment of None. 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
Hyperstack is best suited for: Enterprise AI, NVIDIA ecosystem users, Production inference. Its key strengths are nvidia-certified, high availability, eu/us coverage. 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. 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
Hyperstack offers Standard → Enterprise support across 2 regions (US-East, EU-West). Cyfuture AI offers Standard support across 1 region (IN). Hyperstack's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Hyperstack vs Cyfuture AI
Hyperstack was founded in 2022 and is headquartered in London, UK. Cyfuture AI was founded in 2001 and is headquartered in Noida, India. Cyfuture AI has 21 years more operational history than Hyperstack, 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.