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Hugging Face vs Scaleway: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2016
2015
Headquarters
New York, NY
Paris, France
Billing model
On-demand (per-second)
On-demand, Reserved
Min commitment
None
None
Support tier
Standard → Enterprise
Basic → Enterprise
Regions
3 regions
3 regions

Strengths & Best For

Hugging Face

Hugging Face Inference Endpoints provides managed, production-ready GPU deployment for any model on the Hugging Face Hub — including Llama, Mistral, Stable Diffusion, and custom fine-tunes — on AWS, Azure, and GCP infrastructure. Dedicated endpoints spin up in minutes with automatic scaling, private networking, and pay-per-second billing. Rates shown are AWS single-GPU on-demand. The platform is the natural choice for teams already using the Hugging Face ecosystem who want to move from the Hub to production inference without managing cloud infrastructure.

Strengths
  • One-click deployment of any Hugging Face Hub model
  • AWS, Azure, and GCP infrastructure options
  • Private networking and VPC support
  • Auto-scaling and pay-per-second billing
  • Tight integration with Hugging Face Hub, Datasets, and Spaces
Weaknesses
  • Higher per-GPU cost than raw cloud instances
  • Limited to Hugging Face-compatible model formats
  • Less control over underlying infrastructure vs raw GPU clouds
Best For
Teams deploying Hugging Face Hub models to productionML engineers wanting managed inference without cloud opsOrganizations needing private endpoints for sensitive modelsTeams already in the Hugging Face ecosystem
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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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Live GPU Pricing

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Region Coverage

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

Popular Comparisons

Key differences

Hugging Face

Inference Endpoints — managed GPU deployment for Hugging Face models on AWS, Azure, GCP

Scaleway

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

AttributeHugging FaceScaleway
Provider typespecialistspecialist
Billing modelOn-demand (per-second)On-demand, Reserved
Min commitmentNoneNone
Regions3 (US, EU, APAC)3 (EU-West (Paris), EU-West (Amsterdam), EU-Central (Warsaw))
Support tierStandard → EnterpriseBasic → Enterprise
Best forTeams deploying Hugging Face Hub models to production, ML engineers wanting managed inference without cloud opsEU-based teams needing GPU + full cloud stack from one EU-sovereign provider, Organizations avoiding US hyperscaler data residency concerns
Founded / HQ2016 · New York, NY2015 · Paris, France