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NMads MA35D series

The NMads MA35D-Series virtual machines are Azure's first SKU to offer specialized hardware (Xilinx MA35D "Supernova") accelerated VM optimized for batch and real-time video transcoding workloads. The VM series are powered by 4th generation AMD EPYC™ Genoa processors. It offers 1 ASIC video processing unit (VPU) with 8GB of memory in addition to 16 vCPUs, 32GB of RAM, 76GB of temporary storage, and 4Gbps of network bandwidth.

Compared with existing general-purpose CPU or GPU based solutions, the NMads MA35D-Series VM SKU provides higher throughout and lower latency while maintaining a lower TCO for customers. The VM series presents a huge opportunity to save on infrastructure costs and improve performance and efficiency on video transcoding. Additionally, the VM provides access to modern codecs such as AV1 to further improve efficiency for video processing. It is the ideal choice for running your video transcoding workloads on the cloud.

Host specifications

Part Quantity
Count Units
Specs
SKU ID, Performance Units, etc.
Processor 192 vCPUs AMD EPYC (Genoa) [x86-64]
Memory 768 GiB
Local Storage 3 Disk 2TB E1.S NVMe per disk
Remote Storage 8-16 Disks
Network 5 NICs
Accelerators 10 MA35D cards/20 VPUs AMD Xilinx Alveo MA35D

Feature support

Premium Storage: Supported
Premium Storage caching: Supported
Live Migration: Not Supported
Memory Preserving Updates: Not Supported
VM Generation 2 Support: Supported
Accelerated Networking: Supported
Ephemeral OS Disk: Supported
Nested Virtualization: Not Supported

Sizes in series


vCPUs (Qty.) and Memory for each size

Size Name vCPUs (Qty.) Memory (GB)
Standard_NM16ads_MA35D 16 32

VM Basics resources

Table definitions

Expected network bandwidth is the maximum aggregated bandwidth allocated per VM type across all NICs, for all destinations. For more information, see Virtual machine network bandwidth

Upper limits aren't guaranteed. Limits offer guidance for selecting the right VM type for the intended application. Actual network performance depends on several factors including network congestion, application loads, and network settings. For information on optimizing network throughput, see Optimize network throughput for Azure virtual machines.

To achieve the expected network performance on Linux or Windows, you may need to select a specific version or optimize your VM. For more information, see Bandwidth/Throughput testing (NTTTCP).

Other size information

General purpose

Memory optimized

Storage optimized

GPU optimized

High performance compute

Previous generations

You can use the pricing calculator to estimate your Azure VMs costs.

For more information on disk types, see What disk types are available in Azure?

Next steps

Learn more about how Azure compute units (ACU) can help you compare compute performance across Azure SKUs.

Check out Azure Dedicated Hosts for physical servers able to host one or more virtual machines assigned to one Azure subscription.

Learn how to Monitor Azure virtual machines.