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

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

Overview

Provider type
Specialist
Specialist
Founded
2018
2020
Headquarters
San Francisco, CA
China
Billing model
On-demand, Reserved, Serverless (Intelligence Foundry)
On-demand, Monthly
Min commitment
None (on-demand)
None
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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Guanxingyun

Guanxingyun is a Chinese GPU cloud provider offering Huawei 910B, A100 40GB, V100 32GB, and RTX 4090 GPU instances with CNY monthly pricing. The platform is notable for offering Huawei Ascend 910B hardware alongside NVIDIA GPUs, making it relevant for teams exploring domestic Chinese AI accelerators. Prices are denominated in CNY; USD equivalents are approximate. Verified 2026-10-22: Huawei 910B at CNY 3.26/hr, A100 40GB at CNY 3.58/hr, V100 32GB at CNY 1.72/hr.

Strengths
  • Huawei Ascend 910B availability alongside NVIDIA GPUs
  • A100 and V100 at competitive CNY rates
  • China-based infrastructure for local data residency
  • On-demand and monthly billing options
Weaknesses
  • China-only — no international regions
  • Prices in CNY — USD conversion adds uncertainty
  • Smaller provider with limited global presence
  • Huawei 910B ecosystem less mature than NVIDIA CUDA
Best For
Chinese AI teams exploring Huawei Ascend hardwareTeams requiring China data residencyCost-sensitive GPU workloads within Chinese infrastructure
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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

Guanxingyun

Chinese GPU cloud — Huawei 910B, A100, V100, RTX 4090 with CNY pricing

AttributeCrusoe CloudGuanxingyun
Provider typespecialistspecialist
Billing modelOn-demand, Reserved, Serverless (Intelligence Foundry)On-demand, Monthly
Min commitmentNone (on-demand)None
Regions4 (US-West, US-Central, US-East, +1)1 (CN)
Support tierStandard → Enterprise (24/7)Standard
Best forFrontier model training at gigawatt scale, Managed inference and fine-tuning via Intelligence FoundryChinese AI teams exploring Huawei Ascend hardware, Teams requiring China data residency
Founded / HQ2018 · San Francisco, CA2020 · China