Compute Comparison
vs
All providers →
AzurevsCloudGPU

Azure vs CloudGPU: Pricing, Specs, Strengths & Weaknesses

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

Overview

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

Strengths & Best For

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)
Visit Azure
Azure Rating

No reviews yet — add yours ↗

CloudGPU

CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.

Strengths
  • Per-minute billing — pay only for what you use
  • Root SSH access on every instance
  • Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
  • Wide consumer and data-center GPU selection
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • No enterprise SLAs or compliance certifications
  • Region information not published per instance
Best For
Developers wanting per-minute billing with no commitmentTeams running Ollama or ComfyUI workloadsCost-sensitive inference and fine-tuning
Visit CloudGPU
CloudGPU Rating

No reviews yet — add yours ↗

Live GPU Pricing

GPU Model
Azure /hr
CloudGPU /hr
A100 80GB
$0.82
$1.59

Green = lower price. On-demand hourly rates. Updated every 15 minutes.

Region Coverage

Azure — 5 regions
eastuswestus2westeuropesoutheastasiaaustraliaeast
CloudGPU — 1 regions
Global

Popular Comparisons

AWSvsGoogle Cloud
AWSvsAzure
Google CloudvsAzure
AWSvsOracle Cloud
Lambda LabsvsRunPod
Lambda LabsvsCoreWeave
CoreWeavevsRunPod
RunPodvsVast.ai

Provider pages

Azure pricing and specs CloudGPU pricing and specs

More Azure comparisons

Azure vs RunPodAzure vs TensorDockAzure vs CoreWeaveAzure vs FluidStackAzure vs Lambda LabsAzure vs Verda

Key differences

Azure

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

CloudGPU

On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates

AttributeAzureCloudGPU
Provider typehyperscalerspecialist
Billing modelPay-as-you-go, Reserved (1yr/3yr), Spot, Savings PlansOn-demand (per-minute)
Min commitmentNone (pay-as-you-go)None
Regions5 (eastus, westus2, westeurope, +2)1 (Global)
Support tierBasic → PremierCommunity
Best forEnterprise ML with compliance requirements, Microsoft-centric organizations (M365, Active Directory)Developers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloads
Founded / HQ2010 · Redmond, WA ·