Runcrate vs Cyfuture AI: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Runcrate and Cyfuture AI. Updated July 2026.
Provider Overview
Strengths & Best For
Runcrate is a Berlin-based GPU cloud marketplace aggregating bare-metal and VM instances across 21 GPU types and 11 global regions, with some of the lowest starting prices for on-demand GPU rental available anywhere. The marketplace model gives teams access to H100, A100, and a wide range of other GPU SKUs through a single platform, with flexible spot and on-demand billing. A cost-effective option for EU-based teams needing broad GPU variety and multi-region flexibility.
- 21 GPU types
- 11 global regions
- Very competitive pricing
- Bare metal + VM options
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
Runcrate — marketplace provider
Runcrate is a Berlin-based GPU cloud marketplace aggregating bare-metal and VM instances across 21 GPU types and 11 global regions, with some of the lowest starting prices for on-demand GPU rental available anywhere. The marketplace model gives teams access to H100, A100, and a wide range of other GPU SKUs through a single platform, with flexible spot and on-demand billing. A cost-effective option for EU-based teams needing broad GPU variety and multi-region flexibility.
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
Runcrate uses a On-demand, Spot 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
Runcrate is best suited for: Cost-sensitive teams, Multi-region deployments, Wide GPU variety needs. Its key strengths are 21 gpu types, 11 global regions, very competitive pricing. 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. Marketplace providers aggregate GPU supply from multiple sources, often offering the lowest spot rates but with more variable availability and less predictable performance compared to dedicated providers.
Support tiers and region coverage
Runcrate offers Community → Standard support across 4 regions (EU-Central, US, APAC and 1 more). Cyfuture AI offers Standard support across 1 region (IN). Runcrate's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Runcrate vs Cyfuture AI
Runcrate was founded in 2024 and is headquartered in Berlin, Germany. Cyfuture AI was founded in 2001 and is headquartered in Noida, India. Cyfuture AI has 23 years more operational history than Runcrate, 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.