I need help increasing the size of my current VM

Question

Hi, I currently have set up a Standard NV16as v4 VM, which was the largest N-series VM I could find. We process LIDAR data and work with large data sets. Currently we use our internal own server with 32 cores and 128GB RAM but have outgrown it and would like to move our data processing here. This means our requirements are a VM with at least 64 cores and 256GB RAM. I'd appreciate some guidance on how to achieve this. Region etc is not important at this stage.

Thanks,
Carl

Answer 1

Hello Carl Danielsson,

Thanks for your question

You can take a look at the VM series https://azure.microsoft.com/en-gb/pricing/details/virtual-machines/series/

You can check Compute-Optimized VMs in the Fsv2-series and Memory-Optimized VMs in the E-series with High memory-to-vCPU ratio as they should suit your workload.

You can mark it 'Accept Answer' and 'Upvote' if this helped you

Regards,

Abiola

Answer 2

Hi Carl Danielsson,

Thank you for your understanding and patience while we are reviewing your question!

To meet your requirements for a virtual machine (VM) with at least 64 cores and 256 GB RAM on Microsoft Azure, you have several options across different VM series. I can provide you with some reccommendations:

M-Series: The M-series offers a high vCPU count (up to 128 vCPUs) and a large amount of memory (up to 3.8 TiB). It's also ideal for extremely large databases or other applications that benefit from high vCPU counts and large amounts of memory. M-series sizes are supported both on the Intel® Xeon® CPU E7-8890 v3 @ 2.50GHz and on the Intel® Xeon® Platinum 8280M (Cascade Lake).https://learn.microsoft.com/et-ee/azure/virtual-machines/m-series

As per my understanding, M64ms and M128ms (if you need even more capacity):

• Mv2-Series: Mv2-series instances are memory optimized VM sizes providing unparalleled computational performance to support large in-memory databases and workloads, with a high memory-to-CPU ratio that is ideal for relational database servers, large caches, and in-memory analytics.https://learn.microsoft.com/et-ee/azure/virtual-machines/mv2-series
• ND A100 v4 Series: The 'ND' family of VM size series are one of Azure's GPU-accelerated VM instances. They're designed for deep learning, AI research, and high-performance computing tasks that benefit from powerful GPU acceleration.https://learn.microsoft.com/en-us/azure/virtual-machines/sizes/gpu-accelerated/nd-family
• 
• E-series (Balanced Memory and CPU):
• H-Series: Azure High Performance Compute VMs are optimized for various HPC workloads such as computational fluid dynamics, finite element analysis, frontend and backend EDA, rendering, molecular dynamics, computational geoscience, weather simulation, and financial risk analysis.https://learn.microsoft.com/en-us/azure/virtual-machines/sizes/overview?tabs=breakdownseries%2Cgeneralsizelist%2Ccomputesizelist%2Cmemorysizelist%2Cstoragesizelist%2Cgpusizelist%2Cfpgasizelist%2Chpcsizelist#high-performance-compute

Let me know if you have any further queries!

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