Skip to content

Commit 779c215

Browse files
prmerger-automator[bot]prmerger-automator[bot]
authored
Merge pull request #290215 from modularity/az-lab-sizes
Azure Lab Services VM sizes
2 parents 3135678 + 773ee13 commit 779c215

File tree

4 files changed

+70
-75
lines changed

4 files changed

+70
-75
lines changed

‎articles/lab-services/administrator-guide-1.md

Lines changed: 18 additions & 12 deletions
Original file line numberDiff line numberDiff line change
@@ -2,7 +2,7 @@
22
title: Administrator guide using lab accounts | Microsoft Docs
33
description: This guide helps administrators who create and manage lab accounts by using Azure Lab Services.
44
ms.topic: how-to
5-
ms.date: 10/20/2020
5+
ms.date: 11/08/2024
66
---
77

88
# Azure Lab Services - Administrator guide when using lab accounts
@@ -181,18 +181,25 @@ A general rule is to set a resource's region to one that's closest to its users.
181181

182182
When administrators or Lab Creators create a lab, they can choose from various VM sizes, depending on the needs of their classroom. Remember that the size availability depends on the region that your lab account is located in.
183183

184-
In the following table, notice that several of the VM sizes map to more than one VM series. Depending on capacity availability, Lab Services can use any of the VM series that are listed for a VM size. For example, the *Small* VM size maps to using either the [Standard_A2_v2](/azure/virtual-machines/av2-series) or the [Standard_A2](/azure/virtual-machines/sizes-previous-gen#a-series) VM series. When you choose *Small* as the VM size for your lab, Lab Services first attempts to use the *Standard_A2_v2* series. However, when there isn't sufficient capacity available, Lab Services uses the *Standard_A2* series. The pricing is determined by the VM size and is the same regardless of which VM series Lab Services uses for that specific size. For more information on pricing for each VM size, read the [Lab Services pricing guide](https://azure.microsoft.com/pricing/details/lab-services/).
184+
In the following table, notice that several of the VM sizes map to more than one VM series. Depending on capacity available, Lab Services can use any of the VM series that are listed for a VM size. The pricing is determined by the VM size and is the same regardless of which VM series Lab Services uses for that specific size. For more information on pricing for each VM size, read the [Lab Services pricing guide](https://azure.microsoft.com/pricing/details/lab-services/).
185185

186-
| Size | Minimum vCPUs | Minimum RAM | Series | Suggested use |
186+
| Size | vCPUs | Memory (GB) | Series | Suggested use |
187187
| ---- | ----- | ----- | ------ | ------------- |
188-
| Small| 2 vCPUs | 3.5 GB RAM | [Standard_A2_v2](/azure/virtual-machines/av2-series), [Standard_A2](/azure/virtual-machines/sizes-previous-gen#a-series) | Best suited for command line, opening web browser, low-traffic web servers, small to medium databases. |
189-
| Medium | 4 vCPUs | 7 GB RAM | [Standard_A4_v2](/azure/virtual-machines/av2-series), [Standard_A3](/azure/virtual-machines/sizes-previous-gen#a-series) | Best suited for relational databases, in-memory caching, and analytics. |
190-
| Medium (nested virtualization) | 4 vCPUs | 16 GBs RAM | [Standard_D4s_v3](/azure/virtual-machines/dv3-dsv3-series#dsv3-series) | Best suited for relational databases, in-memory caching, and analytics. This size also supports nested virtualization. |
191-
| Large | 8 vCPUs | 16 GB RAM | [Standard_A8_v2](/azure/virtual-machines/av2-series), [Standard_A7](/azure/virtual-machines/sizes-previous-gen#a-series) | Best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. |
192-
| Large (nested virtualization) | 8 vCPUs | 32 GB RAM | [Standard_D8s_v3](/azure/virtual-machines/dv3-dsv3-series#dsv3-series) | Best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. This size also supports nested virtualization. |
193-
| Small GPU (visualization) | 6 vCPUs | 56 GB RAM | [Standard_NV6](/azure/virtual-machines/nv-series) | Best suited for remote visualization, streaming, gaming, and encoding using frameworks such as OpenGL and DirectX. |
194-
| Small GPU (Compute) | 6 vCPUs | 56 GB RAM | [Standard_NC6](/azure/virtual-machines/nc-series), [Standard_NC6s_v3](/azure/virtual-machines/ncv3-series) |Best suited for computer-intensive applications such as AI and deep learning. |
195-
| Medium GPU (visualization) | 12 vCPUs | 112 GB RAM | [Standard_NV12](/azure/virtual-machines/nv-series), [Standard_NV12s_v3](/azure/virtual-machines/nvv3-series), [Standard_NV12s_v2](/azure/virtual-machines/sizes-previous-gen#nvv2-series) | Best suited for remote visualization, streaming, gaming, and encoding using frameworks such as OpenGL and DirectX. |
188+
| Small | 2 | 4 | [A2_v2](/azure/virtual-machines/av2-series) | Best suited for command line, opening web browser, low-traffic web servers, small to medium databases. |
189+
| Medium | 4 | 8 | [A4_v2](/azure/virtual-machines/av2-series) | Best suited for relational databases, in-memory caching, and analytics. |
190+
| Large | 8 | 16 | [A8_v2](/azure/virtual-machines/av2-series) | Best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. |
191+
| Medium (Nested virtualization) | 4 | 16 | [D4s_v3](/azure/virtual-machines/dv3-dsv3-series) | Best suited for relational databases, in-memory caching, and analytics. This size supports nested virtualization. |
192+
| Large (Nested virtualization) | 8 | 32 | [D8s_v3](/azure/virtual-machines/dv3-dsv3-series) | Best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. This size supports nested virtualization. |
193+
194+
#### GPU sizes
195+
196+
| Size | vCPUs | Memory (GB) | Series | Suggested use | GPU/Accelerator | Accelerator Memory (GB) |
197+
| - | - | - | - | - | - | - |
198+
| Small GPU (Compute) | 8 | 56 | [NC8asT4_v3](/azure/virtual-machines/sizes/gpu-accelerated/ncast4v3-series) | Computer-intensive applications like AI and deep learning | NVIDIA Tesla T4 | 16 |
199+
| | 6 | 112 | [NC6s_v3](/azure/virtual-machines/ncv3-series) | Computer-intensive applications like AI and deep learning | NVIDIA Tesla V100 | 16 |
200+
| Small GPU (Visualization) | 12 | 110 | [NV12ads_A10_v5](/azure/virtual-machines/sizes/gpu-accelerated/nvadsa10v5-series) | Remote visualization,and streaming | NVIDIA A10 (1/3) | 8 |
201+
| Medium GPU (Visualization) | 18 | 220 | [NV18ads_A10_v5](/azure/virtual-machines/sizes/gpu-accelerated/nvadsa10v5-series) | Remote visualization and streaming | NVIDIA A10 (1/2) | 12 |
202+
| | 12 | 112 | [NV12_v3](/azure/virtual-machines/nvv3-series) | Remote visualization and streaming | NVIDIA Tesla M60 | 8 |
196203

197204
## Manage identity
198205

@@ -320,7 +327,6 @@ Don't delete replication to specific regions as a way to reduce the costs, thoug
320327

321328
For more information about setting up and managing labs, see:
322329

323-
- [Lab account setup guide](account-setup-guide.md)
324330
- [Lab setup guide](setup-guide.md)
325331
- [Cost management for labs](cost-management-guide.md)
326332
- [Use Azure Lab Services in Teams](lab-services-within-teams-overview.md)

‎articles/lab-services/administrator-guide.md

Lines changed: 20 additions & 30 deletions
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,7 @@ description: This guide provides information for administrators who create and m
44
author: RoseHJM
55
ms.author: rosemalcolm
66
ms.topic: concept-article
7-
ms.date: 03/14/2024
7+
ms.date: 11/08/2024
88
ms.custom: devdivchpfy22
99
#customer intent: As an administrator who wants to use Azure Lab Services, I want to understand the Azure resources necessary for labs in order to plan my organization's necessary resources.
1010
---
@@ -166,41 +166,31 @@ For information on VM sizes and their cost, see the [Azure Lab Services Pricing]
166166

167167
### Default VM sizes
168168

169-
| Size | Minimum vCPUs | Minimum memory: GiB | Series | Suggested use |
169+
| Size | vCPUs | Memory (GB) | Series | Suggested use |
170170
| ---- | ----- | ----- | ------ | ------------- |
171-
| Small| 2 | 4 | [Standard_F2s_v2](/azure/virtual-machines/fsv2-series) | Best suited for command line, opening web browser, low-traffic web servers, small to medium databases. |
172-
| Medium | 4 | 8 | [Standard_F4s_v2](/azure/virtual-machines/fsv2-series) | Best suited for relational databases, in-memory caching, and analytics. |
173-
| Medium (nested virtualization) | 4 | 16 | [Standard_D4s_v4](/azure/virtual-machines/dv4-dsv4-series) | Best suited for relational databases, in-memory caching, and analytics. This size supports nested virtualization. |
174-
| Large | 8 | 16 | [Standard_F8s_v2](/azure/virtual-machines/fsv2-series) | Best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. |
175-
| Large (nested virtualization) | 8 | 32 | [Standard_D8s_v4](/azure/virtual-machines/dv4-dsv4-series) | Best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. This size supports nested virtualization. |
176-
| Small GPU (Compute) | 8 | 56 | [Standard_NC8as_T4_v3](/azure/virtual-machines/nct4-v3-series) | Best suited for computer-intensive applications such as AI and deep learning. |
177-
| Small GPU (visualization) | 8 | 28 | [Standard_NVas_v4](/azure/virtual-machines/nvv4-series) | (Windows only) Best suited for remote visualization, streaming, gaming, and encoding using frameworks such as OpenGL and DirectX. |
178-
| Medium GPU (visualization) | 12 | 112 | [Standard_NV12s_v3](/azure/virtual-machines/nvv3-series) | (Windows only) Best suited for remote visualization, streaming, gaming, and encoding using frameworks such as OpenGL and DirectX. |
171+
| Small| 2 | 4 | [F2s_v2](/azure/virtual-machines/fsv2-series) | Best suited for command line, opening web browser, low-traffic web servers, small to medium databases. |
172+
| Medium | 4 | 8 | [F4s_v2](/azure/virtual-machines/fsv2-series) | Best suited for relational databases, in-memory caching, and analytics. |
173+
| Medium (nested virtualization) | 4 | 16 | [D4s_v4](/azure/virtual-machines/dv4-dsv4-series) | Best suited for relational databases, in-memory caching, and analytics. This size supports nested virtualization. |
174+
| Large | 8 | 16 | [F8s_v2](/azure/virtual-machines/fsv2-series) | Best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. |
175+
| Large (nested virtualization) | 8 | 32 | [D8s_v4](/azure/virtual-machines/dv4-dsv4-series) | Best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. This size supports nested virtualization. |
179176

180-
### Alternative VM sizes
181-
182-
To better serve you in locations where there's high demand, you can select from a list of *alternative* VM sizes.
177+
### GPU sizes
183178

184-
| Size | Minimum vCPUs | Minimum memory: GiB | Series | Suggested use |
185-
| ---- | ----- | ----- | ------ | ------------- |
186-
| Alternative Small GPU (Compute) | 6 | 112 | [Standard_NC6s_v3](/azure/virtual-machines/ncv3-series) | Best suited for computer-intensive applications such as AI and deep learning. |
187-
| Alternative Small GPU (Visualization) | 6 | 55 | [Standard_NV6ads_A10_v5](/azure/virtual-machines/nva10v5-series) | (Windows only) Best suited for remote visualization, streaming, gaming, and encoding using frameworks such as OpenGL and DirectX. |
188-
| Alternative Medium GPU (Visualization) | 12 | 110 | [Standard_NV12ads_A10_v5](/azure/virtual-machines/nva10v5-series) | (Windows only) Best suited for remote visualization, streaming, gaming, and encoding using frameworks such as OpenGL and DirectX. |
179+
| Size | vCPUs | Memory (GB) | Series | Suggested use | GPU/Accelerator | Accelerator Memory (GB) |
180+
| - | - | - | - | - | - | - |
181+
| Small GPU (Compute) | 8 | 56 | [NC8as_T4_v3](/azure/virtual-machines/nct4-v3-series) | AI & deep learning | NVIDIA Tesla T4 | 16 |
182+
| Small GPU (Visualization) | 8 | 28 | [NV8as_v4](/azure/virtual-machines/nvv4-series) | (Windows only) Remote visualization, streaming, gaming | AMD Radeon Instinct MI25 (1/4) | 4 |
183+
| Medium GPU (Visualization) | 12 | 112 | [NV12s_v3](/azure/virtual-machines/nvv3-series) | Remote visualization, streaming, gaming | NVIDIA Tesla M60 | 8 |
189184

190-
### Classic VM sizes
185+
### Alternative VM sizes
191186

192-
If you create a lab plan and still have lab accounts in your Azure subscription, you can select from the VM sizes available for lab accounts. In the Azure Lab Services user interface, these VM sizes are marked as *classic* VM sizes.
187+
To better serve you in locations where there's high demand, you can select from a list of *alternative* VM sizes.
193188

194-
| Size | Minimum vCPUs | Minimum memory: GiB | Series | Suggested use |
195-
| ---- | ----- | ----- | ------ | ------------- |
196-
| Classic Small | 2 | 4 | [Standard_A2_v2](/azure/virtual-machines/av2-series) | Best suited for command line, opening web browser, low-traffic web servers, small to medium databases. |
197-
| Classic Medium | 4 | 8 | [Standard_A4_v2](/azure/virtual-machines/av2-series) | Best suited for relational databases, in-memory caching, and analytics. |
198-
| Classic Large | 8 | 16 | [Standard_A8_v2](/azure/virtual-machines/av2-series) | Best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. |
199-
| Classic Medium (Nested virtualization) | 4 | 16 | [Standard_D4s_v3](/azure/virtual-machines/dv3-dsv3-series) | Best suited for relational databases, in-memory caching, and analytics. This size supports nested virtualization. |
200-
| Classic Large (Nested virtualization) | 8 | 32 | [Standard_D8s_v3](/azure/virtual-machines/dv3-dsv3-series) | Best suited for applications that need faster CPUs, better local disk performance, large databases, large memory caches. This size supports nested virtualization. |
201-
| Classic Small GPU (Compute) | 6 | 56 | [Standard_NC6](/azure/virtual-machines/nc-series) | Best suited for computer-intensive applications such as AI and deep learning. |
202-
| Classic Small GPU (Visualization) | 6 | 56 | [Standard_NV6](/azure/virtual-machines/nv-series) | Best suited for remote visualization, streaming, gaming, and encoding using frameworks such as OpenGL and DirectX. |
203-
| Classic Medium GPU (Visualization) | 12 | 112 | [Standard_NV12s_v3](/azure/virtual-machines/nvv3-series) | Best suited for remote visualization, streaming, gaming, and encoding using frameworks such as OpenGL and DirectX. |
189+
| Size | vCPUs | Memory (GB) | Series | Suggested use | GPU/Accelerator | Accelerator Memory (GB) |
190+
| - | - | - | - | - | - | - |
191+
| Alternative Small GPU (Compute) | 6 | 112 | [NC6s_v3](/azure/virtual-machines/ncv3-series) | AI & deep learning | NVIDIA Tesla V100 | 16 |
192+
| Alternative Small GPU (Visualization) | 6 | 55 | [NV6ads_A10_v5](/azure/virtual-machines/nva10v5-series) | (Windows only) Remote visualization, streaming, gaming | NVIDIA A10 (1/6) | 4 |
193+
| Alternative Medium GPU (Visualization) | 12 | 110 | [NV12ads_A10_v5](/azure/virtual-machines/nva10v5-series) | (Windows only) Remote visualization, streaming, gaming | NVIDIA A10 (1/3) | 8 |
204194

205195
## RBAC roles
206196

0 commit comments

Comments
 (0)