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

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

Overview

Provider type
Specialist
Marketplace
Founded
2018
2022
Headquarters
San Francisco, CA
United States
Billing model
On-demand, Reserved, Serverless (Intelligence Foundry)
On-demand (per-minute), Spot, Reserved
Min commitment
None (on-demand)
20-minute minimum runtime
Support tier
Standard → Enterprise (24/7)
Community → Standard
Regions
4 regions
3 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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Spheron

Spheron is a GPU marketplace sourcing from certified data center partners globally. GPU catalog: B300 Blackwell, B200 Blackwell, H200, H100, MI300X, GH200, A100, RTX PRO 6000, RTX 5090, L40S, RTX 4090 — on-demand and spot. GB200 and GB300 available to reserve. NVIDIA R100 Rubin (288 GB HBM4) pre-order. Per-minute billing, 20-minute minimum. Accepts USDT/USDC.

Strengths
  • B300, H100, RTX 4090 — competitive live pricing
  • Spot pricing available on H200, H100, A100
  • MI300X — AMD high-VRAM option
  • NVIDIA R100 Rubin pre-order available
  • Per-minute billing, 20-minute minimum, no contracts
  • Accepts USDT and USDC crypto payments
Weaknesses
  • Marketplace model — hardware consistency varies by partner
  • 20-minute minimum runtime (not per-second)
  • No enterprise SLAs
Best For
Cost-sensitive AI workloads needing multi-provider flexibilityTeams wanting vetted marketplace GPU accessSpot-tolerant batch training and inferenceCrypto-native teams
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Live GPU Pricing

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Region Coverage

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

Popular Comparisons

Key differences

Crusoe Cloud

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

Spheron

B300, H100, B200, H200 — per-minute billing, 20-min minimum

AttributeCrusoe CloudSpheron
Provider typespecialistmarketplace
Billing modelOn-demand, Reserved, Serverless (Intelligence Foundry)On-demand (per-minute), Spot, Reserved
Min commitmentNone (on-demand)20-minute minimum runtime
Regions4 (US-West, US-Central, US-East, +1)3 (US, EU, APAC)
Support tierStandard → Enterprise (24/7)Community → Standard
Best forFrontier model training at gigawatt scale, Managed inference and fine-tuning via Intelligence FoundryCost-sensitive AI workloads needing multi-provider flexibility, Teams wanting vetted marketplace GPU access
Founded / HQ2018 · San Francisco, CA2022 · United States