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Guanxingyun vs SF Compute: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2020
2023
Headquarters
China
San Francisco, CA
Billing model
On-demand, Monthly
On-demand, Contract
Min commitment
None
None (on-demand); contract options available
Support tier
Standard
Standard
Regions
1 regions
1 regions

Strengths & Best For

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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SF Compute

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.

Strengths
  • 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
Weaknesses
  • Limited GPU catalog — primarily H100
  • Smaller provider — less geographic diversity
  • Less mature ecosystem vs established GPU clouds
Best For
AI training teams needing H100 clustersResearch teams wanting Slurm-managed GPU computeTeams comparing H100 on-demand rates across providers
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Key differences

Guanxingyun

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

SF Compute

H100 cluster compute — contract and on-demand GPU access from $5.04/hr

AttributeGuanxingyunSF Compute
Provider typespecialistspecialist
Billing modelOn-demand, MonthlyOn-demand, Contract
Min commitmentNoneNone (on-demand); contract options available
Regions1 (CN)1 (US)
Support tierStandardStandard
Best forChinese AI teams exploring Huawei Ascend hardware, Teams requiring China data residencyAI training teams needing H100 clusters, Research teams wanting Slurm-managed GPU compute
Founded / HQ2020 · China2023 · San Francisco, CA