Pricing - Machine Learning | Microsoft Azure

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.

Pricing Tiers

Azure Machine Learning offers two editions that are tailored for your machine learning needs – Enterprise and Basic, making it easy for developers and data scientists to accelerate the end to end machine learning lifecycle. The Basic edition is available in general availability (GA). The Enterprise edition is currently in preview and there will be no ML surcharge during this time. Customers will still be responsible for costs incurred on Azure resources on both and Basic and Enterprise workspaces (even while it is in preview). Please refer to the Virtual Machines pricing page for compute prices.

The Basic edition has no ML surcharge on Azure resources for training or inferencing. When the Enterprise edition becomes generally available, it will have a machine learning surcharge (for training and inferencing), which can be found against the pricing below.

Azure Machine Learning editions

Features	Basic	Enterprise
	For open source development at cloud scale with a code-first experience.	Basic + UI capabilities + secure and comprehensive machine learning lifecycle management for all skill levels.
Automated machine learning
Create and run experiments in notebooks	Available	Available
Create and run experiments in studio web experience	Not available	Available
Industry leading forecasting capabilities	Not available	Available
Support for deep learning and other advanced learners	Not available	Available
Large data support (up to 100GB)	Not available	Available
Interpretability in UI	Not available	Available
Machine Learning Pipelines
Create, run, and publish pipelines using the Azure ML SDK	Available	Available
Create pipeline endpoints using the Azure ML SDK	Available	Available
Create, edit, and delete scheduled runs of pipelines using the Azure ML SDK	Available	Available
Create and publish custom modules using the Azure ML SDK	Available	Available
View pipeline run details in studio	Available	Available
Create, run, visualize, and publish pipelines in Azure ML designer	Not available	Available
Create pipeline endpoints in Azure ML designer	Not available	Available
Create, edit, and delete scheduled runs of pipelines in Azure ML designer	Not available	Available
Create and publish custom modules in Azure ML designer	Not available	Available
Integrated notebooks
Workspace notebook and file sharing	Available	Available
R and Python support	Available	Available
Notebook collaboration	Available	Available
Compute instance
Managed compute Instances for integrated Notebooks	Available	Available
Sharing of compute instances	Available	Available
Collaborative debugging of models	Available	Available
Jupyter, JupyterLab, Visual Studio Code	Available	Available
Virtual Network (VNet) support for deployment	Available	Available
SDK Support
R and Python SDK support	Available	Available
Security
Role Based Access Control (RBAC) support	Available	Available
Virtual Network (VNet) support for training	Available	Available
Virtual Network (VNet) support for inference	Available	Available
Scoring endpoint authentication	Available	Available
Compute
Cross workspace capacity sharing and quotas	Not available	Available
Data for machine learning
Create, view or edit datasets and datastores from the SDK	Available	Available
Create, view or edit datasets and datastores from the UI	Available	Available
View, edit, or delete dataset drift monitors from the SDK	Available	Available
View, edit, or delete dataset drift monitors from the UI	Not available	Available
MLOps
Create ML pipelines in SDK	Available	Available
Batch inferencing	Available	Available
Model profiling	Available	Available
Interpretability in UI	Not available	Available
Labeling
Labeling Project Management Portal	Available	Available
Labeler Portal	Available	Available
Labeling using private workforce	Available	Available

Pricing details

The table below explains the ML surcharge for a broad category of VM’s. 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	No ML surcharge, VM pricing only for training and inferencing	No ML surcharge, VM pricing only for training and inferencing
Enterprise	$- per core hour ML surcharge	From $-+ onwards per core ML surcharge

Edition:

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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.

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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.

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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
B1S	1	1 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
B2S	2	4 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
B1LS	1	0.5 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
B1MS	1	2 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

Reserved Virtual Machine Instances are currently not available for the Av2-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
A1 v2	1	2 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank
A2 v2	2	4 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank
A4 v2	4	8 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank
A8 v2	8	16 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank
A2m v2	2	16 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank
A4m v2	4	32 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank
A8m v2	8	64 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank

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	$-	$-	$-	$-	$-	$-	$-	$-	$-

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
F1	1	2 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
F2	2	4 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
F4	4	8 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
F8	8	16 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
F16	16	32 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-

High memory-to-core ratio. Great for relational database servers, medium to large caches, and in-memory analytics.

E2-64 v3

¹ Azure Compute offers virtual machine sizes that are Isolated to a specific hardware type and dedicated to a single customer. These virtual machine sizes are best suited for workloads that require a high degree of isolation from other customers for workloads involving elements like compliance and regulatory requirements.
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

¹ Azure Compute offers virtual machine sizes that are Isolated to a specific hardware type and dedicated to a single customer. These virtual machine sizes are best suited for workloads that require a high degree of isolation from other customers for workloads involving elements like compliance and regulatory requirements.
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

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

G-series

Reserved Virtual Machine Instances are currently not available for the 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	$-	$-	$-	$-	$-	– – Blank	– – Blank
G2	4	56 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank
G3	8	112 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank
G4	16	224 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank
G5	32	448 GiB	$-	$-	$-	$-	$-	– – Blank	– – Blank

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
M64	64	1,024 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M32ls	32	256 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M64ls	64	512 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M64m	64	1,792 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M128m	128	3,892 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M8-2ms	8	219 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M8-4ms	8	219 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M8ms	8	219 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M16ms	16	438 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M32-8ms	32	875 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M32-16ms	32	875 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M32ms	32	875 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M64ms	64	1,792 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M128ms	128	3,892 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M64s	64	1,024 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M128	128	2,048 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M128s	128	2,048 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M32ts	32	192 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-

Extreme Memory Optimized

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
DS11-1 v2	1 / 2	14 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
DS12-1 v2	1 / 4	28 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
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	$-	$-	$-	$-	$-	$-	$-	$-	$-
E4-2s 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	$-	$-	$-	$-	$-	$-	$-	$-	$-
Gs4-4	4 / 16	224 GiB	$-	$-	$-	$-	$-	Not available	Not available
Gs4-8	8 / 16	224 GiB	$-	$-	$-	$-	$-	Not available	Not available
Gs5-8	8 / 32	448 GiB	$-	$-	$-	$-	$-	Not available	Not available
Gs5-16	16 / 32	448 GiB	$-	$-	$-	$-	$-	Not available	Not available
M16-4ms	4 / 16	438 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M16-8ms	8 / 16	438 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M64-16ms	16 / 64	1,750 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M64-32ms	32 / 64	1,750 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M128-32ms	32 / 128	3,800 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
M128-64ms	64 / 128	3,800 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-

High disk throughput and IO. Ideal for Big Data, SQL, and NoSQL databases.

Ls-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
L4s	4	32 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
L8s	8	64 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
L16s	16	128 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
L32s	32	256 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-

Specialized virtual machines targeted for heavy graphic rendering and video editing available with single or multiple GPUs.

NC-series

Instance	Core	RAM	GPU	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
NC6	6	56 GiB	1X K80	$-	$-	$-	$-	$-	$-	$-	$-	$-
NC12	12	112 GiB	2X K80	$-	$-	$-	$-	$-	$-	$-	$-	$-
NC24	24	224 GiB	4X K80	$-	$-	$-	$-	$-	$-	$-	$-	$-
NC24r	24	224 GiB	4X K80	$-	$-	$-	$-	$-	$-	$-	$-	$-

NCsv2-series

Instance	Core	RAM	GPU	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
NC6s v2	6	112 GiB	1X P100	$-	$-	$-	$-	$-	$-	$-	$-	$-
NC12s v2	12	224 GiB	2X P100	$-	$-	$-	$-	$-	$-	$-	$-	$-
NC24s v2	24	448 GiB	4X P100	$-	$-	$-	$-	$-	$-	$-	$-	$-
NC24rs v2	24	448 GiB	4X P100	$-	$-	$-	$-	$-	$-	$-	$-	$-

NCsv3-series

Instance	Core	RAM	GPU	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
NC6s v3	6	112 GiB	1X V100	$-	$-	$-	$-	$-	$-	$-	$-	$-
NC12s v3	12	224 GiB	2X V100	$-	$-	$-	$-	$-	$-	$-	$-	$-
NC24s v3	24	448 GiB	4X V100	$-	$-	$-	$-	$-	$-	$-	$-	$-
NC24rs v3	24	448 GiB	4X V100	$-	$-	$-	$-	$-	$-	$-	$-	$-

NV-series

Instance	Core	RAM	GPU	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
NV6	6	56 GiB	1X M60	$-	$-	$-	$-	$-	$-	$-	$-	$-
NV12	12	112 GiB	2X M60	$-	$-	$-	$-	$-	$-	$-	$-	$-
NV24	24	224 GiB	4X M60	$-	$-	$-	$-	$-	$-	$-	$-	$-

NDs-series

Instance	Core	RAM	GPU	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
ND6s	6	112 GiB	1X P40	$-	$-	$-	$-	$-	$-	$-	$-	$-
ND12s	12	224 GiB	2X P40	$-	$-	$-	$-	$-	$-	$-	$-	$-
ND24rs	24	448 GiB	4X P40	$-	$-	$-	$-	$-	$-	$-	$-	$-
ND24s	24	448 GiB	4X P40	$-	$-	$-	$-	$-	$-	$-	$-	$-

Our fastest and most powerful CPU virtual machines with optional high-throughput network interfaces (RDMA).

H-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
H8	8	56 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
H16	16	112 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
H8m	8	112 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
H16m	16	224 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
H16mr	16	224 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-
H16r	16	112 GiB	$-	$-	$-	$-	$-	$-	$-	$-	$-

Accelerated hardware microservices mainly for inferencing workload

PB-Series

FPGA based VMs are currently restricted for Machine Learning service inferencing workloads only.
Instance	FPGA	RAM	FPGA price	Machine Learning service Price	Total price
PB6s	1 Arria10 (PCIe)	112 GiB	$-	$-	$-	$-	$-
PB12s	2 Arria10 (PCIe)	224 GiB	$-	$-	$-	$-	$-
PB24s	4 Arria10 (PCIe)	448 GiB	$-	$-	$-	$-	$-

Additional Information

In addition to the above costs, three additional resources will be deployed that will incur additional charges
1. Azure Container Registry Basic account
2. Azure Block Blob Storage (general purpose v1)
3. Key Vault
We provide technical support for all Azure services released to general availability through Azure Support starting at $29/month. Billing and subscription management support is provided at no cost.

Monthly Uptime Calculation and Service Levels for Machine Learning Realtime Scoring*

"Total Transaction Attempts" is the total number of API requests by Customer during a billing month for a given Microsoft Azure subscription.

"Failed Transactions" is the set of all requests within Total Transaction Attempts that fail to return either a Success Code, HTTP 4xx, HTTP 502, or HTTP 503 response.

"Monthly Uptime Percentage" is calculated as Total Transaction Attempts less Failed Transactions divided by Total Transaction Attempts in a billing month for a given Microsoft Azure subscription. Monthly Uptime Percentage is represented by the following formula:

Monthly Uptime % = (Total Transaction Attempts - Failed Transactions) / Total Transaction Attempts

The following Service Levels and Service Credits are applicable to Customer's use of the Machine Learning Realtime Scoring.

Monthly Uptime Percentage	Service Credit**
< 99.95%	10%
< 99%	25%

*We guarantee to call the compute target (AKS) that user has chosen for service deployment and commit to SLA as long as there are no user errors (ex. Corrupt model or error in web service code) and there are no issues with the environment (ex. not enough AKS agents to handle the request). Any service failures due to user errors like the ones explained above will not count against the SLA

**Service credit would apply to the surcharge only

To learn more about the SLA, please visit the SLA page.

Support & SLA

Free billing and subscription management support.
Flexible support plans starting at $29/month. Find a plan.
Guaranteed 99.95% connectivity for multiple instances. Read the SLA.

FAQ

Your existing workspace will be defaulted to the Basic edition. You will still have access to all your existing resources such as experiments, compute targets, storage, models etc.
To upgrade your workspace from Basic to Enterprise, visit the Azure portal. You can either:
1. Go to your list of workspaces and specify the workspace that you wish to upgrade by selecting ‘Upgrade’ to begin the process. Or
2. In the Azure portal, create a new workspace and specify the ‘Workspace Type’ as ‘Enterprise’. We currently do not support upgrading your workspace to Enterprise from the SDK or CLI.
You will not be able to downgrade an Enterprise workspace to Basic. For more information about upgrading, please visit our machine learning documentation.
For both Basic and Enterprise editions, customers will still be responsible for costs of Azure resources consumed. Please see here for the VM prices. While Enterprise edition is in preview, you will not see a ML surcharge however once the Enterprise edition is generally available, an ML surcharge will apply as shown in this page.
Customers can access Azure Machine Learning designer through Azure Machine Learning. There is no additional cost for using the designer capabilities.
You will be billed daily. For billing purposes, a day commences at midnight UTC. Bills are generated monthly.
- Basic
  - Training:
    As a specific example, let’s say you train a model for 100 hours using 10 DS14 v2 VMs on an Basic workspace in US West 2. For a billing month of 30 days, your bill will be as follows:
    
    Azure VM Charge: (10 machines * $1.196 per machine) * 100 hours = $1196
    
    Azure Machine Learning Charge: (10 machines * 16 cores * $0 per core) * 100 hours = $0
    
    Total: $1196 + $0 = $1196
  - Inferencing:
    As a specific example, let’s say you deploy a model for inferencing all day for a 30-day billing month using 10 DS14 v2 VMs in Basic in US West 2. For a billing month of 30 days, your bill will be as follows:
    
    Azure VM Charge: (10 machines * $1.196 per machine) * (24 hours * 30 days) = $8611.2
    
    Azure Machine Learning Charge: (10 machines * 16 cores * $0 per core) * (24 hours * 30 days) = $0
    
    Total: $8611.2 + $0 = $8611.2
- Enterprise
  - Training:
    As a specific example, let’s say you train a model for 100 hours using 10 DS14 v2 VMs on an Enterprise workspace in US West 2. For a billing month of 30 days, your bill will be as follows:
    
    Azure VM Charge: (10 machines * $1.196 per machine) * 100 hours = $1196
    
    Azure Machine Learning Charge: (10 machines * 16 cores * $0 per core) * 100 hours = $0
    
    Total: $1196 + $0 = $1196
  - Inferencing:
    As a specific example, let’s say you deploy a model for inferencing all day for a 30-day billing month using 10 DS14 v2 VMs on an Enterprise workspace in US West 2. For a billing month of 30 days, your bill will be as follows:
    
    Azure VM Charge: (10 machines * $1.196 per machine) * (24 hours * 30 days) = $8611.2
    
    Azure Machine Learning Charge: (10 machines * 16 cores * $0 per core) * (24 hours * 30 days) = $0
    
    Total: $8611.2 + $0 = $8611.2
Please note the compute charges are included with Azure Machine Learning rates above. In addition, you will incur separate charges for any Azure services consumed in conjunction with Azure Machine Learning, including but not limited to HDInsight, Azure Container Registry, Azure Blob Storage, Application Insights, Azure Key Vault, Virtual Network, Azure Event Hub, and Azure Stream Analytics.

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Azure Machine Learning pricing GA