Nebius AI vs TensorDock: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Nebius AI and TensorDock. Updated July 2026.
Provider Overview
Strengths & Best For
Nebius AI (formerly Yandex Cloud international) is a European AI-focused cloud offering H100, H200, and A100 GPU clusters with competitive pricing and full EU data residency for GDPR-compliant AI training and inference. On-demand, spot, and reserved billing options are available, making it one of the most flexible European GPU cloud choices for cost-sensitive teams. A strong alternative to hyperscalers for EU-based organizations that cannot send data outside European borders.
- EU data residency
- Competitive H100/H200 pricing
- Spot availability
- GDPR compliant
TensorDock offers H100, A100, RTX 4090, and RTX 3090 GPU instances across a distributed network of data centers at some of the most competitive on-demand and spot GPU rental prices available. Both on-demand and spot options are available, making it a popular budget AI training platform for cost-sensitive teams and researchers. A practical choice for LLM fine-tuning and batch inference workloads where price-per-GPU-hour is the primary concern.
- Very low prices
- Wide GPU variety
- Spot instances
- Global locations
Live GPU Pricing
Region Coverage
Popular Comparisons
Nebius AI — specialist provider
Nebius AI (formerly Yandex Cloud international) is a European AI-focused cloud offering H100, H200, and A100 GPU clusters with competitive pricing and full EU data residency for GDPR-compliant AI training and inference. On-demand, spot, and reserved billing options are available, making it one of the most flexible European GPU cloud choices for cost-sensitive teams. A strong alternative to hyperscalers for EU-based organizations that cannot send data outside European borders.
TensorDock — specialist provider
TensorDock offers H100, A100, RTX 4090, and RTX 3090 GPU instances across a distributed network of data centers at some of the most competitive on-demand and spot GPU rental prices available. Both on-demand and spot options are available, making it a popular budget AI training platform for cost-sensitive teams and researchers. A practical choice for LLM fine-tuning and batch inference workloads where price-per-GPU-hour is the primary concern.
Billing model comparison
Nebius AI uses a On-demand, Spot, Reserved billing model with a minimum commitment of None. TensorDock uses On-demand, Spot 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
Nebius AI is best suited for: EU-based AI teams, GDPR-sensitive workloads, Cost-conscious training. Its key strengths are eu data residency, competitive h100/h200 pricing, spot availability. TensorDock is best suited for: Budget ML training, Batch inference, Cost-sensitive teams. Its key strengths are very low prices, wide gpu variety, spot instances. 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
Nebius AI offers Standard → Enterprise support across 2 regions (EU-West, US-East). TensorDock offers Community → Pro support across 4 regions (US, EU, APAC and 1 more). TensorDock's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Nebius AI vs TensorDock
Nebius AI was founded in 2023 and is headquartered in Amsterdam, Netherlands. TensorDock was founded in 2020 and is headquartered in Boston, MA. TensorDock has 3 years more operational history than Nebius AI, 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.