Crusoe Cloud vs SF Compute: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Crusoe Cloud and SF Compute. 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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SF Compute offers H100 SXM5 80GB GPU clusters with both short-term on-demand and longer-term contract pricing. The platform targets AI training and research teams that need reliable H100 access at competitive rates. October 2026 on-demand rate: $5.04/GPU-hr. SF Compute provides VMs, bare metal, and managed Slurm cluster options, making it flexible for different workflow types. A practical choice for teams that want H100 compute without the overhead of hyperscaler pricing.
- H100 SXM5 80GB at competitive on-demand rates
- Bare metal and managed Slurm options
- Short and long-term contract flexibility
- US West region — low latency for West Coast teams
- Limited GPU catalog — primarily H100
- Smaller provider — less geographic diversity
- Less mature ecosystem vs established GPU clouds
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Key differences
Crusoe Cloud
$3.9B Series F — GB200 NVL72, B200, H200, H100, AMD MI355X with energy-first AI factories
SF Compute
H100 cluster compute — contract and on-demand GPU access from $5.04/hr