Lambda Labs vs Scaleway: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Lambda Labs and Scaleway. Updated July 2026.
Provider Overview
Strengths & Best For
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.
- Simple pricing
- Pre-configured ML stack
- No egress fees
- Jupyter notebooks included
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.
- EU sovereignty
- GDPR compliant
- Competitive EU pricing
- Managed Kubernetes
Live GPU Pricing
Region Coverage
Popular Comparisons
Lambda Labs — specialist provider
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.
Scaleway — specialist provider
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.
Billing model comparison
Lambda Labs uses a On-demand, Reserved (1yr/3yr) billing model with a minimum commitment of None (on-demand). Scaleway uses On-demand, Reserved billing with a None minimum. Lambda Labs's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Scaleway's commitment requirement suits teams with predictable long-running jobs.
Which workloads each provider suits best
Lambda Labs is best suited for: ML researchers, Deep learning training, Teams wanting simplicity. Its key strengths are simple pricing, pre-configured ml stack, no egress fees. Scaleway is best suited for: EU-based AI teams, GDPR-sensitive workloads, Full-stack cloud users. Its key strengths are eu sovereignty, gdpr compliant, competitive eu pricing. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Lambda Labs offers Community → Enterprise support across 5 regions (us-east-1, us-west-1, us-west-3 and 2 more). Scaleway offers Basic → Enterprise support across 2 regions (EU-West, EU-Central). Lambda Labs's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Lambda Labs vs Scaleway
Lambda Labs was founded in 2012 and is headquartered in San Francisco, CA. Scaleway was founded in 2015 and is headquartered in Paris, France. Lambda Labs has 3 years more operational history than Scaleway, 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.