Compute Comparison

AWS vs Azure: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Hyperscaler
Hyperscaler
Founded
2006
2010
Headquarters
Seattle, WA
Redmond, WA
Billing model
On-demand, Reserved (1yr/3yr), Spot, Savings Plans
Pay-as-you-go, Reserved (1yr/3yr), Spot, Savings Plans
Min commitment
None (on-demand)
None (pay-as-you-go)
Support tier
Basic → Enterprise
Basic → Premier
Regions
5 regions
5 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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Azure

Microsoft Azure offers ND H100 v5 (8× H100, NVLink) and NC A100 v4 (4× A100) GPU VM series across 60+ regions, with enterprise compliance certifications including HIPAA, FedRAMP, and SOC 2 built in. Azure AI Foundry hosts Grok models from xAI alongside OpenAI, Anthropic, Meta, and Mistral models. Azure Machine Learning provides managed training and inference pipelines. Deep Active Directory, hybrid cloud, and Microsoft 365 integration makes Azure the natural GPU cloud for Microsoft-centric organizations. Savings plans (1yr/3yr) and reserved instances offer up to 53% off on-demand rates.

Strengths
  • 60+ regions — widest geographic coverage of any GPU cloud
  • Enterprise compliance: HIPAA, FedRAMP, SOC 2, ISO 27001
  • Azure AI Foundry: Grok, OpenAI, Anthropic, Meta, Mistral models
  • Active Directory and hybrid cloud integration
  • Savings plans up to 53% off on-demand rates
  • Azure Machine Learning managed ML pipelines
Weaknesses
  • Most complex billing and quota system of any hyperscaler
  • GPU quota increases require support tickets and can take days
  • Higher on-demand rates vs specialist GPU clouds
Best For
Enterprise ML with compliance requirementsMicrosoft-centric organizations (M365, Active Directory)Teams needing widest global region coverageRegulated industries (healthcare, finance, government)
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Azure Rating

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Region Coverage

AWS — 5 regions
us-east-1us-west-2eu-west-1ap-southeast-1ap-northeast-1
Azure — 5 regions
eastuswestus2westeuropesoutheastasiaaustraliaeast

Popular Comparisons

Key differences

AWS

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

Azure

ND H100 v5, NC A100 v4, Grok on Azure AI Foundry — 60+ regions with enterprise compliance

AttributeAWSAzure
Provider typehyperscalerhyperscaler
Billing modelOn-demand, Reserved (1yr/3yr), Spot, Savings PlansPay-as-you-go, Reserved (1yr/3yr), Spot, Savings Plans
Min commitmentNone (on-demand)None (pay-as-you-go)
Regions5 (us-east-1, us-west-2, eu-west-1, +2)5 (eastus, westus2, westeurope, +2)
Support tierBasic → EnterpriseBasic → Premier
Best forHyperscale AI training requiring 1,000+ GPUs, Enterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Enterprise ML with compliance requirements, Microsoft-centric organizations (M365, Active Directory)
Founded / HQ2006 · Seattle, WA2010 · Redmond, WA