Cleura vs TensorWave: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cleura and TensorWave. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Cleura is a European sovereign cloud provider offering GPU compute with full GDPR compliance, EU data sovereignty, and a sustainability focus across Swedish and EU data centers. Built on OpenStack, Cleura gives enterprises full control over their cloud environment with no vendor lock-in. On-demand billing and a commitment to renewable energy make it a responsible choice for European enterprises running AI workloads with strict data residency and ESG requirements.
- GDPR compliance and EU data sovereignty
- OpenStack-based — no vendor lock-in
- Renewable energy infrastructure
- Swedish and EU data centers
- Very small GPU catalog — limited to A-series
- Limited to European regions
- Not ML-focused — limited AI tooling
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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 — highest VRAM in any cloud
- NVIDIA alternative via ROCm ecosystem
- Competitive pricing vs equivalent H100 configs
- Large-context inference capability
- AMD ROCm ecosystem less mature than CUDA
- Smaller provider — limited scale vs hyperscalers
- Fewer regions — US-only
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Key differences
Cleura
European sovereign cloud — GDPR, Swedish data centers, renewable energy
TensorWave
AMD MI300X and MI325X GPU cloud — highest-VRAM accelerators for large-model inference