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Hyperbolic vs Scaleway: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Hyperbolic and Scaleway. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2023
2015
Headquarters
Berkeley, CA
Paris, France
Billing model
On-demand (per-minute)
On-demand, Reserved
Min commitment
None
None
Support tier
Community → Pro
Basic → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

Hyperbolic

Hyperbolic is an open-access AI cloud offering H100 and A100 GPU instances with per-minute billing and no minimum commitment, making it one of the most accessible on-demand GPU cloud options for AI researchers and developers. Competitive H100 cloud pricing and a frictionless sign-up process lower the barrier to entry for LLM experimentation, fine-tuning, and short-burst training runs. A practical choice for researchers who need flexible, pay-as-you-go GPU access without enterprise contracts.

Strengths
  • Per-minute billing — no minimum commitment
  • Competitive H100 pricing
  • Frictionless sign-up — no sales process
  • Research-friendly access model
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • Fewer regions than major cloud providers
  • Less mature ecosystem and fewer integrations
Best For
AI researchers needing short-burst GPU accessLLM experimentation and fine-tuningCost-sensitive developers wanting per-minute billing
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Scaleway

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.

Strengths
  • 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
Weaknesses
  • 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
Best For
EU-based teams needing GPU + full cloud stack from one EU-sovereign providerOrganizations avoiding US hyperscaler data residency concernsTeams running GPU training alongside managed Kubernetes workloadsFrench and European enterprises with strict data sovereignty requirements
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Region Coverage

Scaleway — 3 regions
EU-West (Paris)EU-West (Amsterdam)EU-Central (Warsaw)

Popular Comparisons

Key differences

Hyperbolic

Open-access AI cloud with H100 and A100 — per-minute billing, no minimum commitment

Scaleway

European GPU cloud — H100, managed Kubernetes, and full cloud stack with EU sovereignty

AttributeHyperbolicScaleway
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)On-demand, Reserved
Min commitmentNoneNone
Regions1 (US)3 (EU-West (Paris), EU-West (Amsterdam), EU-Central (Warsaw))
Support tierCommunity → ProBasic → Enterprise
Best forAI researchers needing short-burst GPU access, LLM experimentation and fine-tuningEU-based teams needing GPU + full cloud stack from one EU-sovereign provider, Organizations avoiding US hyperscaler data residency concerns
Founded / HQ2023 · Berkeley, CA2015 · Paris, France