Hetzner vs TensorWave: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Hetzner and TensorWave. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Hetzner is a German cloud provider renowned for exceptionally competitive pricing, offering GPU-Line dedicated servers with NVIDIA H100 NVL and RTX 4000 Ada. Cloud instances (shared and dedicated vCPUs) are available in Germany, Finland, Singapore, and the USA. Hetzner is ISO/IEC 27001 certified, BSI C5 certified, and 99.9% uptime SLA with 24/7 email support. GDPR-compliant with data centers in Germany and Finland. Known for strong price-performance in Europe — significantly cheaper egress than AWS, Azure, and GCP. Founded 1997, 25+ years of reliability.
- Among the lowest GPU prices in Europe
- ISO/IEC 27001 and BSI C5 certified
- GDPR-compliant — Germany and Finland data centers
- Significantly cheaper egress than AWS/Azure/GCP
- 99.9% uptime SLA with 24/7 email support
- Germany, Finland, Singapore, USA locations
- Limited GPU SKU selection vs specialist providers
- No managed ML tooling or MLOps integrations
- Smaller GPU cluster sizes — not suited for very large training runs
No reviews yet — add yours ↗
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
No reviews yet — add yours ↗
Live GPU Pricing
Region Coverage
Popular Comparisons
Provider pages
Key differences
Hetzner
Dedicated GPU servers (GPU-Line) — H100 NVL and RTX 4000 Ada — Germany, Finland, Singapore, USA
TensorWave
AMD MI300X and MI325X GPU cloud — highest-VRAM accelerators for large-model inference