Contabo vs TensorWave: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Contabo and TensorWave. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Contabo is a German budget cloud provider offering VPS and dedicated servers with unusually high core counts and RAM at very competitive prices, making it popular for CPU-intensive workloads and teams that need large amounts of RAM without paying hyperscaler rates. While not a dedicated GPU cloud, Contabo offers some GPU-enabled VPS configurations for teams that need affordable compute with GPU access at budget pricing.
- Very competitive pricing on VPS and dedicated servers
- High core counts and RAM at budget prices
- German infrastructure with EU data residency
- Long track record since 2003
- Limited GPU catalog — primarily CPU-focused
- Support quality varies
- Less suitable for GPU-intensive AI workloads
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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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Region Coverage
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Provider pages
Key differences
Contabo
Budget VPS and dedicated servers with high core and RAM counts
TensorWave
AMD MI300X and MI325X GPU cloud — highest-VRAM accelerators for large-model inference