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
IO.NET is a decentralized GPU network aggregating idle compute from data centers, crypto miners, and consumer hardware — including H100 and A100 — at prices typically well below traditional on-demand GPU cloud providers. The marketplace model enables batch AI inference, LLM training, and distributed workloads at dramatically reduced cost for teams comfortable with variable hardware reliability. A compelling option for crypto-native teams and cost-sensitive developers who can tolerate the trade-offs of a decentralized GPU network.
- Very low prices on H100 and A100
- Large pool of available GPUs
- Decentralized resilience
- Crypto-native billing
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.
IO.NET — marketplace provider
IO.NET is a decentralized GPU network aggregating idle compute from data centers, crypto miners, and consumer hardware — including H100 and A100 — at prices typically well below traditional on-demand GPU cloud providers. The marketplace model enables batch AI inference, LLM training, and distributed workloads at dramatically reduced cost for teams comfortable with variable hardware reliability. A compelling option for crypto-native teams and cost-sensitive developers who can tolerate the trade-offs of a decentralized GPU network.
Billing model comparison
OVHcloud uses a On-demand, Reserved billing model with a minimum commitment of None. IO.NET uses On-demand 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. IO.NET is best suited for: Batch inference, Cost-sensitive training, Crypto-native teams. Its key strengths are very low prices on h100 and a100, large pool of available gpus, decentralized resilience. Marketplace providers aggregate GPU supply from multiple sources, often offering the lowest spot rates but with more variable availability and less predictable performance compared to dedicated providers.
Support tiers and region coverage
OVHcloud offers Basic → Enterprise support across 4 regions (EU-West, EU-Central, US and 1 more). IO.NET offers Community support across 1 region (Various). 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 IO.NET
OVHcloud was founded in 1999 and is headquartered in Roubaix, France. IO.NET was founded in 2023 and is headquartered in San Francisco, CA. OVHcloud has 24 years more operational history than IO.NET, 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.