Trying to create a VM with NVidea GPU, don't care about the region

rantash68 0 Reputation points
2023-05-06T12:43:24.42+00:00

How can I create an NC series VM. I don't care about the region, but whatever region I try it's not listed.

Why can't I select the VM size first, then the region? For ML training it doesn't matter that much.

How do I proceed?

Azure Virtual Machines
Azure Virtual Machines
An Azure service that is used to provision Windows and Linux virtual machines.
7,991 questions
Azure
Azure
A cloud computing platform and infrastructure for building, deploying and managing applications and services through a worldwide network of Microsoft-managed datacenters.
1,027 questions
Azure Data Science Virtual Machines
Azure Data Science Virtual Machines
Azure Virtual Machine images that are pre-installed, configured, and tested with several commonly used tools for data analytics, machine learning, and artificial intelligence training.
69 questions
{count} votes

1 answer

Sort by: Most helpful
  1. kobulloc-MSFT 26,346 Reputation points Microsoft Employee
    2023-05-06T16:03:32.5633333+00:00

    Hello, @rantash68 !

    How do I create a VM with an NVIDIA GPU?

    This is a frequent question as AI has hit unprecedented levels of popularity with ChatGPT, GPT powered search, and different image generation models. There are more people using GPU VMs than ever before and that has meant new challenges when keeping up with demands.

    With this new surge in GPU use, the best practical answer is to keep checking less popular regions like South Central US as new capacity is constantly being added and understand that many others are doing the same thing:

    Ensuring capacity for our customers is a top priority for Microsoft and we are working around the clock to deliver on this. The increasing demand for Azure services is evidence of the popularity of Azure, and emphasizes the need to scale up our infrastructure even more rapidly. With that in mind, we are expediting expansions and are improving our resource deployment process to respond to this strong customer demand. In fact, we are adding a significant amount of compute infrastructure monthly. We have identified several improvements on how we load-balance under a high resource usage situation, and how to trigger the timely deployment of needed resources. Furthermore, we are increasing our capacity significantly – and will continue to plan for strong customer demand across all of our regions. This September 2021 blog post covers improvements towards delivering a resilient cloud supply chain. Before implementing any restrictions on customers, we first pull every lever available to expedite new capacity, and to preserve existing capacity – this includes shaping internal customers to non-constrained regions whenever possible. If these steps are not sufficient to avoid a capacity shortfall, we then implement “offer restrictions” which prevent newly-created subscriptions from being able to deploy to the constrained region. Should you be experiencing an allocation failure, there are many ways to troubleshoot. We also work closely with our impacted customers to offer alternate solutions, should a capacity constraint affect their deployment.  

    0 comments No comments

Your answer

Answers can be marked as Accepted Answers by the question author, which helps users to know the answer solved the author's problem.