Microsoft Azure AI/ML

Data Science Virtual Machines

Azure’s Data Science Virtual Machines are pre-configured VMs set up for data science modeling, development, and deployment. They handle the heavy lifting of environment setup, providing a ready-made workspace for building and deploying machine learning models without the initial configuration overhead.

These machines suit teams already committed to the Azure ecosystem who need standardized, ready-to-go environments. The main trade-off is the lack of a free tier; you are strictly on a pay-as-you-go model, meaning every hour of provisioning incurs cost, so idle instances can quickly drain budgets if not managed carefully.

Product page Docs
  • Free tier No
  • Pricing Pay as you go
  • Regions 12 · 6 continents
  • SLA uptime 99.99%
  • Compliance 13 certifications
  • Provider health A

Decision score

39 /100
Features 20
Pricing 0
Reliability 100
Community 0
Ecosystem 90

Computed from catalog breadth, pricing, provider reliability (uptime & SLA), community signal, and ecosystem (compliance & regions). Weighted equally.

Trust & reach via Microsoft Azure

Compliance
  • C5
  • CSA STAR
  • FedRAMP
  • GDPR
  • HIPAA
  • ISO 27001
  • ISO 27017
  • ISO 27018
  • ISO 9001
  • PCI DSS
  • SOC 1 Type II
  • SOC 2 Type II
+1 more
SLA uptime
  • compute99.99%
  • database99.99%
  • networking99.99%
  • storage99.99%
Global reach

12 regions across 6 continents

  • Africa
  • Asia
  • Europe
  • North America
  • Oceania
  • South America

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