Azure Machine Learning pricing
Enterprise-grade machine learning service to build and deploy models faster
- No upfront cost
- No termination fees
- Pay only for what you use
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.
Azure Machine Learning makes it easy for developers and data scientists to accelerate the end-to-end machine learning lifecycle.
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Data for machine learning
Create, view, or edit datasets and datastores
Labeling using private workforce, including ML assisted labeling (Image classification and Object detection)
Dataset monitors UI (preview)
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Build and Train
Managed compute for training
Integrated Jupyter notebooks
Automated ML (Large data support up to 10GB+, Classification and Regression Tasks, create experiments, advanced forecasting)
Drag and drop ML designer
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Deploy and Manage
Model registry and profiling
ML pipelines for repeatable workflows
Batch and real-time inferencing
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Security, Governance, and Control
Role Based Access Control (RBAC) support (preview)
Virtual Network (VNet) support for compute (preview)
Workspace Private Link Support
Cross workspace compute capacity sharing with quotas
Pricing details
Azure Machine Learning is currently generally available (GA) and customers incur the costs associated with the Azure resources consumed (for example, compute and storage costs). There are no additional fees associated with Azure Machine Learning.
Azure Machine Learning Basic and Enterprise Editions are merging on September 22, 2020. Customers can access all the Enterprise Edition capabilities in the Basic Edition, which is generally available (GA), at no additional charge.
On December 21, 2020 onwards, all existing Enterprise workspaces will be migrated to Basic Edition. The migration will be automatic and seamless and no action is required. On January 1, 2021 Enterprise Edition will be retired. For concepts, tutorials, and samples, see our documentation.
The table below shows the pricing for a broad category of VM’s. There is no additional ML charge for Azure Machine Learning. For details please select the region and other information below to see all available VM’s and associated pricing.
Edition | CPU (General purpose, compute optimized, memory optimized, storage optimized) | GPU |
---|---|---|
Basic (GA) | Consumed Azure resources Only (No Azure Machine Learning fee for training/inference) | Consumed Azure resources (e.g. compute, storage) (No Azure Machine Learning fee for training/inference) |
Enterprise (preview)
All Enterprise Edition features are now available in the Basic Edition. Enterprise Edition will be retired on January 1, 2021. |
Consumed Azure resources Only (No Azure Machine Learning fee for training/inference). Azure Machine Learning Fee is $-+ per vCPU hour | Consumed Azure resources (e.g. compute, storage) (No Azure Machine Learning fee for training/inference). Azure Machine Learning Fee is $-+ per vCPU hour |
US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment, or directly through a pay-as-you-go online subscription.
Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
Azure Germany is available to customers and partners who have already purchased this, doing business in the European Union (EU), the European Free Trade Association (EFTA), and in the United Kingdom (UK). It provides data residency in Germany with additional levels of control and data protection. You can also sign up for a free Azure trial.
US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment, or directly through a pay-as-you-go online subscription.
Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
Azure Germany is available to customers and partners who have already purchased this, doing business in the European Union (EU), the European Free Trade Association (EFTA), and in the United Kingdom (UK). It provides data residency in Germany with additional levels of control and data protection. You can also sign up for a free Azure trial.
General purpose
For websites, small-to-medium databases, and other everyday applications
Bs-series
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
B2S | 2 | 4 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
B2MS | 2 | 8 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
B4MS | 4 | 16 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
B8MS | 8 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
B12MS | 12 | 48 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
B16MS | 16 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
B20MS | 20 | 80 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
Av2 Standard
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||
---|---|---|---|---|---|---|---|---|---|
A4 v2 | 4 | 8 GiB | $- | $- | $- | $- | $- | – – | – – |
A8 v2 | 8 | 16 GiB | $- | $- | $- | $- | $- | – – | – – |
A2m v2 | 2 | 16 GiB | $- | $- | $- | $- | $- | – – | – – |
A4m v2 | 4 | 32 GiB | $- | $- | $- | $- | $- | – – | – – |
A8m v2 | 8 | 64 GiB | $- | $- | $- | $- | $- | – – | – – |
D2-64 v3
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
D2 v3 | 2 | 8 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D4 v3 | 4 | 16 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D8 v3 | 8 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D16 v3 | 16 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D32 v3 | 32 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D48 v3 | 48 | 192 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D64 v3 | 64 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D2s-64s v3
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
D2s v3 | 2 | 8 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D4s v3 | 4 | 16 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D8s v3 | 8 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D16s v3 | 16 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D32s v3 | 32 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D48s v3 | 48 | 192 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D64s v3 | 64 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D1-5 v2
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
D1 v2 | 1 | 3.5 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D2 v2 | 2 | 7 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D3 v2 | 4 | 14 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D4 v2 | 8 | 28 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D5 v2 | 16 | 56 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D1s-5s v2
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
DS1 v2 | 1 | 3.5 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS2 v2 | 2 | 7 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS3 v2 | 4 | 14 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS4 v2 | 8 | 28 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS5 v2 | 16 | 56 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
Compute optimized
High CPU-to-memory ratio. Good for medium traffic web servers, network appliances, batch processes, and application servers.
Fsv2-series
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
F2s v2 | 2 | 4 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F4s v2 | 4 | 8 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F8s v2 | 8 | 16 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F16s v2 | 16 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F32s v2 | 32 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F48s v2 | 48 | 96 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F64s v2 | 64 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F72s v2 | 72 | 144 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F-series
Instance | Core | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
F2 | 2 | 4 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F4 | 4 | 8 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F8 | 8 | 16 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
F16 | 16 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
Memory optimized
High memory-to-core ratio. Great for relational database servers, medium to large caches, and in-memory analytics.
E2-64 v3
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
E2 v3 | 2 | 16 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E4 v3 | 4 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E8 v3 | 8 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E16 v3 | 16 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E20 v3 | 20 | 160 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E32 v3 | 32 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E48 v3 | 48 | 384 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64i v3 1 | 64 | 432 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64 v3 | 64 | 432 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E2s-64s v3
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
E2s v3 | 2 | 16 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E4s v3 | 4 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E8s v3 | 8 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E16s v3 | 16 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E20s v3 | 20 | 160 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E32s v3 | 32 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E48s v3 | 48 | 384 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64is v3 1 | 64 | 432 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64s v3 | 64 | 432 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D11-15 v2
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
D11 v2 | 2 | 14 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D12 v2 | 4 | 28 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D13 v2 | 8 | 56 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D14 v2 | 16 | 112 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D15 v2 | 20 | 140 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
D15i v2 | 20 | 140 GiB | $- | $- | $- | $- | $- | Not available | Not available |
D11S-15S v2
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
DS11 v2 | 2 | 14 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS12 v2 | 4 | 28 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS13 v2 | 8 | 56 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS14 v2 | 16 | 112 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS15 v2 | 20 | 140 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS15i v2 | 20 | 140 GiB | $- | $- | $- | $- | $- | Not available | Not available |
G-series
Instance | Core | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||
---|---|---|---|---|---|---|---|---|---|
G1 | 2 | 28 GiB | $- | $- | $- | $- | $- | – – | – – |
G2 | 4 | 56 GiB | $- | $- | $- | $- | $- | – – | – – |
G3 | 8 | 112 GiB | $- | $- | $- | $- | $- | – – | – – |
G4 | 16 | 224 GiB | $- | $- | $- | $- | $- | – – | – – |
G5 | 32 | 448 GiB | $- | $- | $- | $- | $- | – – | – – |
M-series
Instance | vCPU(s) | RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
M64m | 64 | 1,792 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
M128m | 128 | 3,892 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
M128 | 128 | 2,048 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
Constrained vCPUs capable
Instance | Active vCPU(s) / Underlying vCPU(s) |
RAM |
Linux VM Price
|
Machine Learning Service Surcharge |
Pay As You Go Total Price |
One Year Reserved (% Savings) Total Price |
Three Year Reserved (% Savings) Total Price |
||||
---|---|---|---|---|---|---|---|---|---|---|---|
DS12-2 v2 | 2 / 4 | 28 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS13-2 v2 | 2 / 8 | 56 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS13-4 v2 | 4 / 8 | 56 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS14-4 v2 | 4 / 16 | 112 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
DS14-8 v2 | 8 / 16 | 112 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E4-2as v4 | 2 / 4 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E8-2as v4 | 2 / 8 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E8-4as v4 | 4 / 8 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E16-4as v4 | 4 / 16 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E16-8as v4 | 8 / 16 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E32-8as v4 | 8 / 32 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E32-16as v4 | 16 / 32 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64-16as v4 | 16 / 64 | 512 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64-32as v4 | 32 / 64 | 512 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E96-24as v4 | 24 / 96 | 672 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E96-48as v4 | 48 / 96 | 672 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E4-2ds v4 | 2 / 4 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E8-2ds v4 | 2 / 8 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E8-4ds v4 | 4 / 8 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E16-4ds v4 | 4 / 16 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E16-8ds v4 | 8 / 16 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E32-8ds v4 | 8 / 32 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E32-16ds v4 | 16 / 32 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64-16ds v4 | 16 / 64 | 504 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64-32ds v4 | 32 / 64 | 504 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E4-2s v3 | 2 / 4 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E8-2s v3 | 2 / 8 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E8-4s v3 | 4 / 8 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E16-4s v3 | 4 / 16 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E16-8s v3 | 8 / 16 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E32-8s v3 | 8 / 32 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E32-16s v3 | 16 / 32 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64-16s v3 | 16 / 64 | 432 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64-32s v3 | 32 / 64 | 432 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E4-2s v4 | 2 / 4 | 32 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E8-2s v4 | 2 / 8 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E8-4s v4 | 4 / 8 | 64 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E16-4s v4 | 4 / 16 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E16-8s v4 | 8 / 16 | 128 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E32-8s v4 | 8 / 32 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E32-16s v4 | 16 / 32 | 256 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64-16s v4 | 16 / 64 | 504 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
E64-32s v4 | 32 / 64 | 504 GiB | $- | $- | $- | $- | $- | $- | $- | $- | $- |
Gs4-4 | 4 / 16 | 224 GiB | $- | $- | $- | $- | $- |