Hello, @Federico Corrado (Staff) ! Yes! There are several options to choose from an almost all meet the 8gb RAM requirement. I've made some recommendations below.
How do I deploy a GPU MATLAB VM on Azure?
The MATLAB site has full instructions for deployment using the Azure Marketplace (it sounds like you want the BYOL option, which I've included below). When you get to Virtual Machine Settings
, you'll want to click on Change size
and select a GPU VM size from the N-series. The NCv3-series and NC T4_v3-series sizes are optimized for compute-intensive GPU-accelerated applications although there are other options as well as they might be more than you need (a Standard_NV6 has 8GiB of GPU memory, as an example while a Standard_NV12 has 16 GiB). Here are MATLAB's instructions (more details on setup on the link):
https://www.mathworks.com/help/cloudcenter/ug/run-matlab-from-azure-marketplace.html
Use the following steps to configure and deploy MATLAB (BYOL) resources in a resource group.
- Navigate to https://portal.azure.com and login to your Azure account.
- From the Portal, click Create a Resource.
- Search for “matlab” in the marketplace and click on the MATLAB (BYOL) offering.
- Select a MATLAB release and click Create on the offering page to begin setup.
- The setup process uses a Resource Manager template to help you configure the virtual machine and networking settings. To make setup easy, many of the fields come prepopulated with acceptable values.
Search for MATLAB in the Azure Marketplace
Click on Change size to select a GPU VM like the Standard_NV6
Resources:
- MathWorks: Run MATLAB from Microsoft Azure Marketplace
- MathWorks: Microsoft Azure Marketplace
- Azure Marketplace: MATLAB Production Server (BYOL)
I hope this has been helpful! Your feedback is important so please take a moment to accept answers.
If you still have questions, please let us know what is needed in the comments so the question can be answered. Thank you for helping to improve Microsoft Q&A!