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Scaleway vs Lambda Labs: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Scaleway and Lambda Labs. Updated July 2026.

Provider Overview

Provider type
Specialist
Specialist
Founded
2015
2012
Headquarters
Paris, France
San Francisco, CA
Billing model
On-demand, Reserved
On-demand, Reserved (1yr/3yr)
Min commitment
None
None (on-demand)
Support tier
Basic → Enterprise
Community → Enterprise
Regions
2 regions
5 regions

Strengths & Best For

Scaleway

Scaleway is a French GPU cloud offering H100 and A100 instances with strong GDPR compliance and EU data sovereignty, backed by managed Kubernetes and a full developer-friendly cloud platform. On-demand and reserved billing options are available across EU data centers, making it one of the most complete European GPU cloud options for teams that need both AI compute and broader cloud services. A natural fit for EU-based AI teams that want competitive European GPU pricing without vendor lock-in.

Strengths
  • EU sovereignty
  • GDPR compliant
  • Competitive EU pricing
  • Managed Kubernetes
Best For
EU-based AI teamsGDPR-sensitive workloadsFull-stack cloud users
Visit Scaleway
Lambda Labs

Lambda Labs offers on-demand and reserved H100, A100, and RTX A6000 GPU instances with simple flat pricing and no egress fees — a refreshing contrast to hyperscaler complexity. Pre-configured PyTorch and TensorFlow environments mean researchers can start LLM training or fine-tuning in minutes without any setup overhead. A go-to on-demand GPU cloud for ML teams that want predictable hourly GPU rental costs without long-term commitments.

Strengths
  • Simple pricing
  • Pre-configured ML stack
  • No egress fees
  • Jupyter notebooks included
Best For
ML researchersDeep learning trainingTeams wanting simplicity
Visit Lambda Labs

Live GPU Pricing

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Region Coverage

Scaleway2 regions
EU-WestEU-Central
Lambda Labs5 regions
us-east-1us-west-1us-west-3eu-central-1ap-south-1

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