Nebius AI vs TensorWave: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Nebius AI and TensorWave. 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
TensorWave specializes in AMD Instinct MI300X and MI325X GPU instances — the highest-memory GPU accelerators available in any cloud — offering a compelling NVIDIA alternative for large-model LLM inference and distributed AI training via the ROCm ecosystem. On-demand and reserved billing options are available from US-based data centers, with competitive pricing relative to equivalent NVIDIA H100 configurations. The go-to on-demand GPU cloud for teams exploring AMD ROCm or needing massive VRAM for large-context inference.
- AMD MI300X/MI325X
- Large VRAM options
- NVIDIA alternative
- Competitive pricing
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.
TensorWave — specialist provider
TensorWave specializes in AMD Instinct MI300X and MI325X GPU instances — the highest-memory GPU accelerators available in any cloud — offering a compelling NVIDIA alternative for large-model LLM inference and distributed AI training via the ROCm ecosystem. On-demand and reserved billing options are available from US-based data centers, with competitive pricing relative to equivalent NVIDIA H100 configurations. The go-to on-demand GPU cloud for teams exploring AMD ROCm or needing massive VRAM for large-context inference.
Billing model comparison
Nebius AI uses a On-demand, Spot, Reserved billing model with a minimum commitment of None. TensorWave uses On-demand, Reserved 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. TensorWave is best suited for: AMD ROCm workloads, Large-model inference, NVIDIA-alternative seekers. Its key strengths are amd mi300x/mi325x, large vram options, nvidia alternative. 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). TensorWave offers Standard → Enterprise support across 1 region (US-West). Nebius AI'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 TensorWave
Nebius AI was founded in 2023 and is headquartered in Amsterdam, Netherlands. TensorWave was founded in 2023 and is headquartered in Phoenix, AZ. Both providers were founded in the same year — evaluate them on current pricing, region coverage, and support tier rather than operational history. 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.