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Guanxingyun vs IO.NET: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Marketplace
Founded
2020
2023
Headquarters
China
San Francisco, CA
Billing model
On-demand, Monthly
On-demand
Min commitment
None
None
Support tier
Standard
Community
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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IO.NET

IO.NET is a decentralized GPU network aggregating idle compute from data centers, crypto miners, and consumer hardware — including H100 and A100 — at prices typically well below traditional on-demand GPU cloud providers. The marketplace model enables batch AI inference, LLM training, and distributed workloads at dramatically reduced cost for teams comfortable with variable hardware reliability. A compelling option for crypto-native teams and cost-sensitive developers who can tolerate the trade-offs of a decentralized GPU network.

Strengths
  • Very low prices on H100 and A100
  • Large pool of available GPUs
  • Decentralized resilience
  • Crypto-native billing
Weaknesses
  • Marketplace model — hardware quality varies by host
  • No enterprise SLAs or uptime guarantees
  • Not suitable for compliance-sensitive workloads
Best For
Batch inferenceCost-sensitive trainingCrypto-native teams
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Key differences

Guanxingyun

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

IO.NET

Decentralized GPU network — access idle GPUs at below-market rates

AttributeGuanxingyunIO.NET
Provider typespecialistmarketplace
Billing modelOn-demand, MonthlyOn-demand
Min commitmentNoneNone
Regions1 (CN)1 (Various)
Support tierStandardCommunity
Best forChinese AI teams exploring Huawei Ascend hardware, Teams requiring China data residencyBatch inference, Cost-sensitive training
Founded / HQ2020 · China2023 · San Francisco, CA