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Crusoe Cloud vs Lium: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Crusoe Cloud and Lium. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Marketplace
Founded
2018
2023
Headquarters
San Francisco, CA
United States
Billing model
On-demand, Reserved, Serverless (Intelligence Foundry)
Per-second (spot and secure tiers)
Min commitment
None (on-demand)
None (15-min balance required to start)
Support tier
Standard → Enterprise (24/7)
Standard
Regions
4 regions
1 regions

Strengths & Best For

Crusoe Cloud

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.

Strengths
  • $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
Weaknesses
  • Primarily US-based — limited international regions
  • Sales-led for large clusters
  • Smaller ecosystem vs hyperscalers
Best For
Frontier model training at gigawatt scaleManaged inference and fine-tuning via Intelligence FoundryESG-conscious enterprises needing carbon-aligned computeTeams wanting vertically-integrated AI factory infrastructure
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Lium

Lium (operated by Datura AI Corp) is a GPU marketplace offering H100, H200, A100, and other GPU nodes with per-second billing and no minimum rental period. A prepaid balance sufficient to cover 15 minutes is required to start a rental; billing stops the moment you end it. Spot and secure node tiers are available. Check the live table for current availability and rates.

Strengths
  • Per-second billing — pay only for what you use
  • Minimum rentable GPUs varies by node — single GPUs to whole 8-GPU nodes
  • Spot and secure node tiers
  • H100, H200, A100 and other GPU models available
  • Marketplace prices move as nodes rent out
Weaknesses
  • Marketplace model — hardware availability varies by node
  • Smaller provider with limited scale
  • Less mature ecosystem vs established providers
Best For
Short-burst GPU workloadsCost-sensitive training with per-second billingTeams wanting flexible on-demand GPU access
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Region Coverage

Crusoe Cloud — 4 regions
US-WestUS-CentralUS-EastEU-North (Norway)

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Key differences

Crusoe Cloud

$3.9B Series F — GB200 NVL72, B200, H200, H100, AMD MI355X with energy-first AI factories

Lium

GPU marketplace — per-second billing, no minimum rental period

AttributeCrusoe CloudLium
Provider typespecialistmarketplace
Billing modelOn-demand, Reserved, Serverless (Intelligence Foundry)Per-second (spot and secure tiers)
Min commitmentNone (on-demand)None (15-min balance required to start)
Regions4 (US-West, US-Central, US-East, +1)1 (Various)
Support tierStandard → Enterprise (24/7)Standard
Best forFrontier model training at gigawatt scale, Managed inference and fine-tuning via Intelligence FoundryShort-burst GPU workloads, Cost-sensitive training with per-second billing
Founded / HQ2018 · San Francisco, CA2023 · United States