Skip to content

Commit d717ecc

Browse files
authored
Merge pull request #17423 from sethmanheim/aks-scale
Move GPU sizes to scale article
2 parents bd4e7a2 + c37c9de commit d717ecc

File tree

3 files changed

+47
-46
lines changed

3 files changed

+47
-46
lines changed

AKS-Arc/deploy-ai-model.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,7 @@ description: Learn how to deploy an AI model on AKS Arc with the Kubernetes AI t
44
author: sethmanheim
55
ms.author: sethm
66
ms.topic: how-to
7-
ms.date: 12/06/2024
7+
ms.date: 03/21/2025
88
ms.reviewer: haojiehang
99
ms.lastreviewed: 12/03/2024
1010

@@ -66,7 +66,7 @@ To create a GPU node pool using the Azure portal, follow these steps:
6666

6767
### [Azure CLI](#tab/azurecli)
6868

69-
To create a GPU node pool using Azure CLI, run the following command. The GPU VM SKU used in the following example is for the **A16** model; for the full list of VM SKUs, see [Supported VM sizes](deploy-gpu-node-pool.md#supported-vm-sizes).
69+
To create a GPU node pool using Azure CLI, run the following command. The GPU VM SKU used in the following example is for the **A16** model; for the full list of VM SKUs, see [Supported VM sizes](scale-requirements.md#supported-vm-sizes).
7070

7171
```azurecli
7272
az aksarc nodepool add --name "samplenodepool" --cluster-name "samplecluster" --resource-group "sample-rg" --node-vm-size "Standard_NC16_A16" --os-type "Linux"

AKS-Arc/deploy-gpu-node-pool.md

Lines changed: 4 additions & 42 deletions
Original file line numberDiff line numberDiff line change
@@ -3,10 +3,10 @@ title: Use GPUs for compute-intensive workloads (AKS on Azure Local, version 23H
33
description: Learn how to deploy GPU-enabled node pools in AKS enabled by Arc.
44
author: sethmanheim
55
ms.topic: how-to
6-
ms.date: 02/29/2024
6+
ms.date: 03/21/2025
77
ms.author: sethm
8-
ms.lastreviewed: 06/05/2024
9-
ms.reviewer: baziwane
8+
ms.lastreviewed: 03/21/2025
9+
ms.reviewer: abha
1010

1111
# Intent: As an IT Pro, I want to learn how to deploy GPU-enabled node pools
1212
# Keyword: Run GPU workloads on Kubernetes
@@ -21,45 +21,6 @@ ms.reviewer: baziwane
2121
2222
Graphical Processing Units (GPU) are used for compute-intensive workloads such as machine learning, deep learning, and more. This article describes how to use GPUs for compute-intensive workloads in AKS enabled by Azure Arc.
2323

24-
## Supported GPU models
25-
26-
The following GPU models are supported by AKS on Azure Local, version 23H2:
27-
28-
| Manufacturer | GPU model | Supported version |
29-
|--------------|-----------|-------------------|
30-
| NVidia | A2 | 2311.2 |
31-
| NVidia | A16 | 2402.0 |
32-
| NVidia | T4 | 2408.0 |
33-
34-
## Supported VM sizes
35-
36-
The following VM sizes for each GPU models are supported by AKS on Azure Local, version 23H2.
37-
38-
### Nvidia T4 is supported by NK T4 SKUs
39-
40-
| VM size | GPUs | GPU Memory: GiB | vCPU | Memory: GiB |
41-
|-----------------|---|----|-----|----|
42-
| Standard_NK6 | 1 | 8 | 6 | 12 |
43-
| Standard_NK12 | 2 | 16 | 12 | 24 |
44-
45-
### Nvidia A2 is supported by NC2 A2 SKUs
46-
47-
| VM size | GPUs | GPU Memory: GiB | vCPU | Memory: GiB |
48-
|-------------------|---|----|----|----|
49-
| Standard_NC4_A2 | 1 | 16 | 4 | 8 |
50-
| Standard_NC8_A2 | 1 | 16 | 8 | 16 |
51-
| Standard_NC16_A2 | 2 | 48 | 16 | 64 |
52-
| Standard_NC32_A2 | 2 | 48 | 32 | 128 |
53-
54-
### Nvidia A16 is supported by NC2 A16 SKUs
55-
56-
| VM size | GPUs | GPU Memory: GiB | vCPU | Memory: GiB |
57-
|--------------------|---|----|----|----|
58-
| Standard_NC4_A16 | 1 | 16 | 4 | 8 |
59-
| Standard_NC8_A16 | 1 | 16 | 8 | 16 |
60-
| Standard_NC16_A16 | 2 | 48 | 16 | 64 |
61-
| Standard_NC32_A16 | 2 | 48 | 32 | 128 |
62-
6324
## Before you begin
6425

6526
To use GPUs in AKS Arc, make sure you installed the necessary GPU drivers before you begin the deployment of the cluster. Follow the steps in this section.
@@ -277,5 +238,6 @@ If an upgrade is triggered on a cluster without extra GPU resources to facilitat
277238

278239
## Next steps
279240

241+
- [Supported VM sizes](scale-requirements.md)
280242
- [Use GPUs (AKS on Azure Local 22H2)](deploy-gpu-node-pool-22h2.md)
281243
- [AKS overview](aks-hybrid-options-overview.md)

AKS-Arc/scale-requirements.md

Lines changed: 41 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -2,7 +2,7 @@
22
title: Scale requirements for AKS on Azure Local
33
description: Learn about scale requirements for AKS on Azure Local.
44
ms.topic: conceptual
5-
ms.date: 03/10/2025
5+
ms.date: 03/21/2025
66
author: sethmanheim
77
ms.author: sethm
88
ms.reviewer: abha
@@ -64,7 +64,46 @@ This article describes the maximum and minimum supported scale count for AKS on
6464
| Standard_D8s_v3 | 8 | 32 |
6565
| Standard_K8S3_v1 | 4 | 6 |
6666

67-
For more worker node sizes with GPU support, see [Use GPUs](deploy-gpu-node-pool.md).
67+
For more worker node sizes with GPU support, see the next section.
68+
69+
## Supported GPU models
70+
71+
The following GPU models are supported by AKS on Azure Local, version 23H2:
72+
73+
| Manufacturer | GPU model | Supported version |
74+
|--------------|-----------|-------------------|
75+
| NVidia | A2 | 2311.2 |
76+
| NVidia | A16 | 2402.0 |
77+
| NVidia | T4 | 2408.0 |
78+
79+
## Supported VM sizes
80+
81+
The following VM sizes for each GPU models are supported by AKS on Azure Local, version 23H2.
82+
83+
### Nvidia T4 is supported by NK T4 SKUs
84+
85+
| VM size | GPUs | GPU Memory: GiB | vCPU | Memory: GiB |
86+
|-----------------|---|----|-----|----|
87+
| Standard_NK6 | 1 | 8 | 6 | 12 |
88+
| Standard_NK12 | 2 | 16 | 12 | 24 |
89+
90+
### Nvidia A2 is supported by NC2 A2 SKUs
91+
92+
| VM size | GPUs | GPU Memory: GiB | vCPU | Memory: GiB |
93+
|-------------------|---|----|----|----|
94+
| Standard_NC4_A2 | 1 | 16 | 4 | 8 |
95+
| Standard_NC8_A2 | 1 | 16 | 8 | 16 |
96+
| Standard_NC16_A2 | 2 | 48 | 16 | 64 |
97+
| Standard_NC32_A2 | 2 | 48 | 32 | 128 |
98+
99+
### Nvidia A16 is supported by NC2 A16 SKUs
100+
101+
| VM size | GPUs | GPU Memory: GiB | vCPU | Memory: GiB |
102+
|--------------------|---|----|----|----|
103+
| Standard_NC4_A16 | 1 | 16 | 4 | 8 |
104+
| Standard_NC8_A16 | 1 | 16 | 8 | 16 |
105+
| Standard_NC16_A16 | 2 | 48 | 16 | 64 |
106+
| Standard_NC32_A16 | 2 | 48 | 32 | 128 |
68107

69108
## Next steps
70109

0 commit comments

Comments
 (0)