Choose the right size for your workload with NVads A10 v5 virtual machines, now generally available


Written by Vijay Kanchanahalli, Principal Program Manager, Microsoft Azure


Visualization workloads entail a wide range of use cases: from computer-aided design (CAD), to virtual desktops, to high-end simulations. Traditionally, when running these graphics-heavy visualization workloads in the cloud, customers have been limited to purchasing virtual machines (VMs) with full GPUs, which increased costs and limited flexibility. So, in 2019, we introduced the first GPU-partitioned (GPU-P) virtual machine offering in the cloud. And today, your options just got wider. Introducing the general availability of NVads A10 v5 GPU accelerated virtual machines, now available in US South Central, US West2, US West3, Europe West, and Europe North regions. Azure is the first public cloud to offer GPU partitioning (GPU-P) on NVIDIA GPUs.


NVads A10 v5 virtual machines feature NVIDIA A10 Tensor Core GPUs, up to 72 AMD EPYC™ 74F3 vCPUs with clock frequencies up to 4.0 GHz, 880 GB of RAM, 256 MB of L3 cache, and simultaneous multithreading (SMT).


Pay-as-you-go, one-year and three-year Azure Reserved Instances, and Spot virtual machines pricing for Windows and Linux deployments are now available.


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