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Azure vs CoreWeave: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Azure and CoreWeave. Updated July 2026.

Provider Overview

Provider type
Hyperscaler
Specialist
Founded
2010
2017
Headquarters
Redmond, WA
Roseland, NJ
Billing model
Pay-as-you-go, Reserved (1yr/3yr), Spot
On-demand, Reserved
Min commitment
None (pay-as-you-go)
None
Support tier
Basic → Premier
Standard → Enterprise
Regions
5 regions
3 regions

Strengths & Best For

Azure

Microsoft Azure offers ND H100 v5 and NC A100 v4 series VMs across 60+ regions, with enterprise compliance certifications including HIPAA, FedRAMP, and SOC 2 built in. Deep Active Directory and hybrid cloud integration makes it the natural GPU cloud for Microsoft-centric organizations running LLM fine-tuning or AI inference at scale. On-demand, reserved, and spot GPU billing options are available with flexible commitment terms.

Strengths
  • Enterprise compliance
  • Active Directory integration
  • Hybrid cloud
  • Microsoft 365 ecosystem
Best For
Enterprise MLWindows-based workloadsTeams on Microsoft stack
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CoreWeave

CoreWeave is a purpose-built GPU cloud offering H100 SXM5, H200, and A100 clusters with InfiniBand and NVLink interconnects for large-scale AI training and LLM fine-tuning. On-demand and reserved H100 instances are available across US East, US West, and EU regions, with some of the highest GPU density and lowest latency networking of any specialist cloud. A top choice for AI labs and enterprises running multi-node distributed training at scale.

Strengths
  • Highest GPU density
  • InfiniBand networking
  • Kubernetes-native
  • Fast provisioning
Best For
Large-scale AI trainingLLM fine-tuningHigh-throughput inference
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Live GPU Pricing

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Region Coverage

Azure5 regions
eastuswestus2westeuropesoutheastasiaaustraliaeast
CoreWeave3 regions
US-EastUS-WestEU-West

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