Provider Overview
Strengths & Best For
OVHcloud is a French GPU cloud offering L40S and H100 instances across EU data centers with strong European data sovereignty, GDPR compliance, and no vendor lock-in at competitive on-demand pricing. On-demand and reserved billing options are available, making it a flexible European GPU cloud for teams that need AI training or inference capacity within EU borders. A trusted choice for EU enterprises and GDPR-sensitive workloads that want an alternative to US-headquartered hyperscalers.
- EU data sovereignty
- GDPR compliant
- Competitive EU pricing
- No vendor lock-in
Brev.dev (part of NVIDIA) is a developer GPU cloud that provisions H100, A100, RTX 4090, L4, and T4 instances with one-command CLI provisioning and NVIDIA-optimized ML stacks pre-installed, eliminating environment setup for AI training and inference. On-demand per-second billing means you only pay for actual compute time, making it highly cost-efficient for iterative ML development and rapid prototyping. The fastest way to get an NVIDIA-optimized GPU environment running for LLM fine-tuning or model deployment.
- One-command provisioning
- NVIDIA-optimized environments
- Pre-built ML stacks
- Developer-friendly CLI
Live GPU Pricing
Region Coverage
Popular Comparisons
OVHcloud — specialist provider
OVHcloud is a French GPU cloud offering L40S and H100 instances across EU data centers with strong European data sovereignty, GDPR compliance, and no vendor lock-in at competitive on-demand pricing. On-demand and reserved billing options are available, making it a flexible European GPU cloud for teams that need AI training or inference capacity within EU borders. A trusted choice for EU enterprises and GDPR-sensitive workloads that want an alternative to US-headquartered hyperscalers.
Brev.dev — specialist provider
Brev.dev (part of NVIDIA) is a developer GPU cloud that provisions H100, A100, RTX 4090, L4, and T4 instances with one-command CLI provisioning and NVIDIA-optimized ML stacks pre-installed, eliminating environment setup for AI training and inference. On-demand per-second billing means you only pay for actual compute time, making it highly cost-efficient for iterative ML development and rapid prototyping. The fastest way to get an NVIDIA-optimized GPU environment running for LLM fine-tuning or model deployment.
Billing model comparison
OVHcloud uses a On-demand, Reserved billing model with a minimum commitment of None. Brev.dev 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
OVHcloud is best suited for: EU-based AI teams, GDPR-sensitive workloads, Cost-conscious European enterprises. Its key strengths are eu data sovereignty, gdpr compliant, competitive eu pricing. Brev.dev is best suited for: ML developers, Rapid prototyping, NVIDIA ecosystem users, Teams wanting zero setup. Its key strengths are one-command provisioning, nvidia-optimized environments, pre-built ml stacks. 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
OVHcloud offers Basic → Enterprise support across 4 regions (EU-West, EU-Central, US and 1 more). Brev.dev offers Community → Enterprise support across 1 region (US). OVHcloud's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: OVHcloud vs Brev.dev
OVHcloud was founded in 1999 and is headquartered in Roubaix, France. Brev.dev was founded in 2021 and is headquartered in San Francisco, CA. OVHcloud has 22 years more operational history than Brev.dev, 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.