Scaleway vs Jarvis Labs: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Scaleway and Jarvis Labs. Updated July 2026.
Provider Overview
Strengths & Best For
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
Jarvis Labs is an ML-focused GPU cloud offering H100, A100, and RTX instances with per-second billing, pre-configured environments for PyTorch, TensorFlow, and other popular frameworks, and a simple interface designed for machine learning engineers. On-demand GPU rental with no minimum commitment makes it easy to spin up and tear down instances for training runs, fine-tuning, and AI inference experiments. A popular choice for ML engineers who want pre-built environments and granular per-second billing.
- Per-second billing
- Pre-configured ML environments
- Simple UI
- Fast provisioning
Live GPU Pricing
Region Coverage
Popular Comparisons
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.
Jarvis Labs — specialist provider
Jarvis Labs is an ML-focused GPU cloud offering H100, A100, and RTX instances with per-second billing, pre-configured environments for PyTorch, TensorFlow, and other popular frameworks, and a simple interface designed for machine learning engineers. On-demand GPU rental with no minimum commitment makes it easy to spin up and tear down instances for training runs, fine-tuning, and AI inference experiments. A popular choice for ML engineers who want pre-built environments and granular per-second billing.
Billing model comparison
Scaleway uses a On-demand, Reserved billing model with a minimum commitment of None. Jarvis Labs uses On-demand (per-second) billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
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. Jarvis Labs is best suited for: ML engineers, Notebook-based workflows, Teams wanting pre-built environments. Its key strengths are per-second billing, pre-configured ml environments, simple ui. 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
Scaleway offers Basic → Enterprise support across 2 regions (EU-West, EU-Central). Jarvis Labs offers Community → Pro support across 2 regions (US, EU). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Scaleway vs Jarvis Labs
Scaleway was founded in 2015 and is headquartered in Paris, France. Jarvis Labs was founded in 2020 and is headquartered in San Francisco, CA. Scaleway has 5 years more operational history than Jarvis Labs, 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.