GPUs availability for Virtual Machines

Question

Hello guys,

Is there any limitations or any additional documentations or proofs I should or my company should provide if we plan to use quite a big amount of GPU Virtual Machines at Virtual Machine service? I'm informed and know about standard quotas that Azure have, but is there any other limitations that I should know about before starting using GPUs at Azure

Answer 1

Hi @Ruslan Pylypiuk ,

Thank you for reaching out to the Microsoft Q&A platform.

There are some limitations and considerations you should be aware of before using many GPU virtual machines in Azure. Here are some of the key points to keep in mind:

Quotas: As you mentioned, there are standard quotas for GPU virtual machines in Azure. These quotas limit the number of virtual machines you can create in each region and subscription. If you need to exceed these quotas, you can request a quota increase from Azure support.

Availability: GPU virtual machines are not available in all Azure regions. You should check the availability of GPU virtual machines in the regions where you plan to deploy them.

Pricing: GPU virtual machines are more expensive than standard virtual machines. You should ensure that you have budgeted appropriately for the increased cost.

Resource contention: GPU virtual machines require more resources than standard virtual machines, including CPU, memory, and storage. You should ensure that you have sufficient resources available to support the number of GPU virtual machines you plan to deploy.

Licensing: Some GPU workloads require specialized software or licensing. You should ensure that you have the appropriate licenses and software in place before deploying GPU virtual machines.

Performance: GPU virtual machines can provide significant performance benefits for certain workloads, but they may not be necessary or cost-effective for all workloads. You should carefully evaluate your workload requirements and performance needs before deploying GPU virtual machines.

Support: GPU virtual machines may require specialized support or expertise. You should ensure that you have the necessary support and expertise in place to manage and troubleshoot GPU virtual machines.

Before deploying many GPU virtual machines in Azure, you should consult the Azure documentation and best practices guides, as well as any relevant third-party documentation or support resources. You may also want to engage with Azure support or a trusted Azure partner to ensure that you have a comprehensive understanding of the limitations and considerations involved.

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