Use an enterprise-grade service for the end-to-end machine learning lifecycle
Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible AI.
Explore pricing options
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Pay as you go
Pay for compute capacity by the second, with no long-term commitments or upfront payments. Increase or decrease consumption on demand.
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Azure savings plan for compute
Save money across select compute services globally by committing to spend a fixed hourly amount for 1 or 3 years, unlocking lower prices until you reach your hourly commitment. Suited for dynamic workloads while accommodating for planned or unplanned changes.
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Reservations
Azure Reserved Virtual Machine Instances provide significant cost reduction, compared to pay-as-you-go rates, when you commit to one-year or three-year terms. Suited for stable, predictable workloads with no planned changes.
Apply filters to customize pricing options to your needs.
Prices are estimates only and are not intended as actual price quotes. Actual pricing may vary depending on the type of agreement entered with Microsoft, date of purchase, and the currency exchange rate. Prices are calculated based on US dollars and converted using London closing spot rates that are captured in the two business days prior to the last business day of the previous month end. If the two business days prior to the end of the month fall on a bank holiday in major markets, the rate setting day is generally the day immediately preceding the two business days. This rate applies to all transactions during the upcoming month. Sign in to the Azure pricing calculator to see pricing based on your current program/offer with Microsoft. Contact an Azure sales specialist for more information on pricing or to request a price quote. See frequently asked questions about Azure pricing.
Please note, there is no additional charge to use Azure Machine Learning. However, along with compute, you will incur separate charges for other Azure services consumed, including but not limited to Azure Blob Storage, Azure Key Vault, Azure Container Registry and Azure Application Insights.
To learn more about how to manage budgets, costs, and quota for Azure Machine Learning, see here.
General purpose
Balanced CPU-to-memory ratio. Ideal for testing and development, small to medium databases, and low to medium traffic web servers.
D2-64 v3
| Instance | vCPU(s) | RAM |
Linux VM Price
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Machine Learning Service Surcharge |
Pay As You Go Total Price |
1 year savings plan | 3 year savings plan |
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| D2 v3 | 2 | 8 GiB | $- |
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| D4 v3 | 4 | 16 GiB | $- |
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| D8 v3 | 8 | 32 GiB | $- |
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| D16 v3 | 16 | 64 GiB | $- |
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| D32 v3 | 32 | 128 GiB | $- |
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| D64 v3 | 64 | 256 GiB | $- |
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D2s-64s v3
| Instance | vCPU(s) | RAM |
Linux VM Price
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Machine Learning Service Surcharge |
Pay As You Go Total Price |
1 year savings plan | 3 year savings plan |
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| D2s v3 | 2 | 8 GiB | $- |
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| D4s v3 | 4 | 16 GiB | $- |
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| D8s v3 | 8 | 32 GiB | $- |
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| D16s v3 | 16 | 64 GiB | $- |
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| D32s v3 | 32 | 128 GiB | $- |
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| D64s v3 | 64 | 256 GiB | $- |
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D1-5 v2
| Instance | vCPU(s) | RAM |
Linux VM Price
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Machine Learning Service Surcharge |
Pay As You Go Total Price |
1 year savings plan | 3 year savings plan |
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| D1 v2 | 1 | 3.5 GiB | $- |
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| D2 v2 | 2 | 7 GiB | $- |
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| D3 v2 | 4 | 14 GiB | $- |
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| D4 v2 | 8 | 28 GiB | $- |
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D1s-5s v2
| Instance | vCPU(s) | RAM |
Linux VM Price
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Machine Learning Service Surcharge |
Pay As You Go Total Price |
1 year savings plan | 3 year savings plan |
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| DS1 v2 | 1 | 3.5 GiB | $- |
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| DS2 v2 | 2 | 7 GiB | $- |
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| DS3 v2 | 4 | 14 GiB | $- |
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| DS4 v2 | 8 | 28 GiB | $- |
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| DS5 v2 | 16 | 56 GiB | $- |
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D2ds – D64ds v4
| Instance | vCPU(s) | RAM |
Linux VM Price
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Machine Learning Service Surcharge |
Pay As You Go Total Price |
1 year savings plan | 3 year savings plan |
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| D2ds v4 | 2 | 8 GiB | $- |
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| D4ds v4 | 4 | 16 GiB | $- |
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| D8ds v4 | 8 | 32 GiB | $- |
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| D16ds v4 | 16 | 64 GiB | $- |
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| D32ds v4 | 32 | 128 GiB | $- |
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| D48ds v4 | 48 | 192 GiB | $- |
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