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ND sizes series

The ND-series virtual machines are a new addition to the GPU family designed for AI, and Deep Learning workloads. They offer excellent performance for training and inference. ND instances are powered by NVIDIA Tesla P40 GPUs and Intel Xeon E5-2690 v4 (Broadwell) CPUs. These instances provide excellent performance for single-precision floating point operations, for AI workloads utilizing Microsoft Cognitive Toolkit, TensorFlow, Caffe, and other frameworks. The ND-series also offers a much larger GPU memory size (24 GB), enabling to fit much larger neural net models. Like the NC-series, the ND-series offers a configuration with a secondary low-latency, high-throughput network through RDMA, and InfiniBand connectivity so you can run large-scale training jobs spanning many GPUs.

Host specifications

Part Quantity
Count Units
Specs
SKU ID, Performance Units, etc.
Processor 6 - 24 vCPUs Intel Xeon E5-2690 v4 (Broadwell) [x86-64]
Memory 112 - 448 GiB
Local Storage 1 Disk 736 - 2948 GiB
Remote Storage 12 - 32 Disks 20000 - 80000 IOPS
200 - 800 MBps
Network 4 - 8 NICs
Accelerators 1 - 4 GPUs Nvidia Tesla P40 GPU (24GB)

Feature support

Premium Storage: Supported
Premium Storage caching: Supported
Live Migration: Not Supported
Memory Preserving Updates: Not Supported
Generation 2 VMs: Supported
Generation 1 VMs: Supported
Accelerated Networking: Not 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_ND6s 6 112
Standard_ND12s 12 224
Standard_ND24s 24 448
Standard_ND24rs 24 448

VM Basics resources

Other size information

List of all available sizes: Sizes

Pricing Calculator: Pricing Calculator

Information on Disk Types: Disk Types

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.