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AWS vs Guanxingyun: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Hyperscaler
Specialist
Founded
2006
2020
Headquarters
Seattle, WA
China
Billing model
On-demand, Reserved (1yr/3yr), Spot, Savings Plans
On-demand, Monthly
Min commitment
None (on-demand)
None
Support tier
Basic → Enterprise
Standard
Regions
5 regions
1 regions

Strengths & Best For

AWS

AWS EC2 P5 instances are powered by NVIDIA H100 Tensor Core GPUs (up to 8× H100, 640 GB HBM3, 3,200 Gbps EFA networking). P5e and P5en instances use NVIDIA H200 GPUs (up to 8× H200, 1,128 GB HBM3e). P5en adds Gen5 PCIe and third-generation EFA for 35% lower latency. All three families deploy in EC2 UltraClusters scaling to 20,000 GPUs with petabit-scale nonblocking networking delivering 20 exaflops aggregate. SageMaker HyperPod manages resilient training clusters at any scale. Amazon Bedrock provides serverless access to DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, and Writer Palmyra. 30+ global regions with enterprise SLAs.

Strengths
  • P5/P5e/P5en: H100 and H200 in UltraClusters up to 20,000 GPUs
  • 20 exaflops aggregate compute in EC2 UltraClusters
  • 3,200 Gbps EFA networking with GPUDirect RDMA
  • SageMaker HyperPod for resilient distributed training
  • Amazon Bedrock: serverless access to DeepSeek, MiniMax, Kimi, GLM, Palmyra
  • 30+ global regions with enterprise SLAs and compliance certifications
Weaknesses
  • Highest on-demand GPU rates among all providers
  • Complex pricing — on-demand vs reserved vs spot vs savings plans
  • GPU quota increases require support tickets and can take days
Best For
Hyperscale AI training requiring 1,000+ GPUsEnterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Teams already invested in the AWS ecosystemProduction ML inference via SageMaker
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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

AWS — 5 regions
us-east-1us-west-2eu-west-1ap-southeast-1ap-northeast-1

Popular Comparisons

Key differences

AWS

P5 (H100), P5e/P5en (H200), UltraClusters up to 20,000 GPUs — hyperscale AI infrastructure

Guanxingyun

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

AttributeAWSGuanxingyun
Provider typehyperscalerspecialist
Billing modelOn-demand, Reserved (1yr/3yr), Spot, Savings PlansOn-demand, Monthly
Min commitmentNone (on-demand)None
Regions5 (us-east-1, us-west-2, eu-west-1, +2)1 (CN)
Support tierBasic → EnterpriseStandard
Best forHyperscale AI training requiring 1,000+ GPUs, Enterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Chinese AI teams exploring Huawei Ascend hardware, Teams requiring China data residency
Founded / HQ2006 · Seattle, WA2020 · China