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AWS vs Zenlayer: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Hyperscaler
Specialist
Founded
2006
2014
Headquarters
Seattle, WA
Los Angeles, CA
Billing model
On-demand, Reserved (1yr/3yr), Spot, Savings Plans
On-demand
Min commitment
None (on-demand)
None
Support tier
Basic → Enterprise
Standard → Enterprise
Regions
5 regions
6 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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Zenlayer

Zenlayer is an edge cloud provider offering GPU instances and VPS across emerging markets in Asia, Middle East, Africa, and Latin America — regions underserved by major hyperscalers. On-demand GPU rental with competitive pricing makes it a practical choice for teams that need GPU compute close to users in emerging markets, or for AI inference workloads requiring low latency in APAC, MENA, or LATAM regions.

Strengths
  • Emerging market coverage — APAC, MENA, LATAM, Africa
  • Edge GPU instances close to end users
  • Competitive pricing in underserved regions
  • VPS + GPU in one provider
Weaknesses
  • Smaller GPU catalog vs major providers
  • Less mature ML tooling
  • Support quality varies by region
Best For
AI inference serving users in emerging marketsTeams needing GPU compute in APAC/MENA/LATAMLow-latency inference for global user bases
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Live GPU Pricing

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Region Coverage

AWS — 5 regions
us-east-1us-west-2eu-west-1ap-southeast-1ap-northeast-1
Zenlayer — 6 regions
APACMELATAMAfricaUSEU

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Key differences

AWS

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

Zenlayer

Edge GPU cloud with VPS and GPUs across emerging markets

AttributeAWSZenlayer
Provider typehyperscalerspecialist
Billing modelOn-demand, Reserved (1yr/3yr), Spot, Savings PlansOn-demand
Min commitmentNone (on-demand)None
Regions5 (us-east-1, us-west-2, eu-west-1, +2)6 (APAC, ME, LATAM, +3)
Support tierBasic → EnterpriseStandard → Enterprise
Best forHyperscale AI training requiring 1,000+ GPUs, Enterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)AI inference serving users in emerging markets, Teams needing GPU compute in APAC/MENA/LATAM
Founded / HQ2006 · Seattle, WA2014 · Los Angeles, CA