Crusoe Cloud vs EcoHash: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Crusoe Cloud and EcoHash. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Crusoe raised a $3.9B Series F in September 2026 and is building vertically-integrated AI infrastructure at gigawatt scale. GPU catalog: NVIDIA GB200 NVL72, HGX B200, H200, H100, and AMD MI300X/MI355X. Crusoe Intelligence Foundry provides managed inference (benchmark results published at crusoe.ai), Serverless Fine-Tuning (GA), and a model hub with GLM 5.3, DeepSeek V4 Pro, Kimi K2.6, GPT-OSS 120B, Qwen 3.8 27B, Nemotron 3. Contracted AI infrastructure capacity approaching 5 GW. Partnerships: Perplexity (multi-year, full model lifecycle), Microsoft (900 MW Abilene campus), Aalo Atomics (nuclear-powered AI factory). Energy sources: wind, solar, hydropower, geothermal, natural gas with carbon capture.
- $3.9B Series F — well-funded AI infrastructure company
- GB200 NVL72, B200, H200, H100, AMD MI355X in catalog
- Crusoe Intelligence Foundry: managed inference with published benchmarks at crusoe.ai
- Serverless Fine-Tuning GA — no cluster provisioning
- Approaching 5 GW contracted AI infrastructure capacity
- Energy-first: wind, solar, hydro, geothermal, natural gas + carbon capture
- Primarily US-based — limited international regions
- Sales-led for large clusters
- Smaller ecosystem vs hyperscalers
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EcoHash is a GPU cloud offering NVIDIA RTX PRO 6000 Blackwell instances with 96GB GDDR7 VRAM alongside an open-model inference API, making it one of the few providers offering the latest RTX PRO 6000 hardware for large-context AI inference and training. The open-model API enables developers to access popular open-source models without managing infrastructure. A strong choice for teams that need maximum VRAM on RTX-class hardware for large-model inference.
- RTX PRO 6000 Blackwell — 96GB GDDR7 VRAM
- Open-model inference API
- Large-context inference capability
- Competitive RTX PRO 6000 pricing
- Very new provider — limited track record
- Smaller scale vs established providers
- Limited documentation and ecosystem
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Key differences
Crusoe Cloud
$3.9B Series F — GB200 NVL72, B200, H200, H100, AMD MI355X with energy-first AI factories
EcoHash
RTX PRO 6000 GPU cloud with an open-model inference API