Cyfuture AI vs Scaleway: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cyfuture AI and Scaleway. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
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
- Primarily India focused — limited global regions
- Less mature platform vs global providers
- Limited English documentation
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Scaleway is a French cloud provider offering H100 SXM and PCIe GPU instances alongside a full cloud platform — managed Kubernetes (Kapsule), object storage, managed databases, serverless functions, and private networking — all within EU data centers. In 2025–2026 Scaleway launched H100 PCIe instances at competitive EU pricing, expanded its managed Kubernetes GPU node pools to support multi-GPU workloads natively, and introduced a GPU-optimized bare-metal tier for latency-sensitive inference. As a subsidiary of Iliad Group (one of France's largest telecoms), Scaleway has the financial backing and network infrastructure to compete seriously in the EU GPU market. A strong choice for European teams that want GPU compute and a full cloud stack from a single EU-sovereign provider, avoiding US hyperscaler data residency concerns entirely.
- Full EU-sovereign cloud stack — GPU, Kubernetes, storage, databases in one platform
- H100 SXM and PCIe at competitive European pricing
- Managed Kubernetes with native GPU node pool support
- Backed by Iliad Group — strong financial stability and network infrastructure
- GPU-optimized bare-metal tier for low-latency inference
- GPU catalog narrower than AWS, GCP, or Azure
- Primarily EU regions — limited options for US or APAC deployments
- ML ecosystem tooling less mature than hyperscalers
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Key differences
Cyfuture AI
AI cloud from India
Scaleway
European GPU cloud — H100, managed Kubernetes, and full cloud stack with EU sovereignty