The ND H100 v5 series virtual machine (VM) is a new flagship addition to the Azure GPU family. This series is designed for high-end Deep Learning training and tightly coupled scale-up and scale-out Generative AI and HPC workloads.
The ND H100 v5 series starts with a single VM and eight NVIDIA H100 Tensor Core GPUs. ND H100 v5-based deployments can scale up to thousands of GPUs with 3.2 Tbps of interconnect bandwidth per VM. Each GPU within the VM is provided with its own dedicated, topology-agnostic 400 Gbps NVIDIA Quantum-2 CX7 InfiniBand connection. These connections are automatically configured between VMs occupying the same virtual machine scale set, and support GPU Direct RDMA.
Each GPU features NVLINK 4.0 connectivity for communication within the VM, and the instance has 96 physical fourth Gen Intel Xeon Scalable processor cores.
These instances provide excellent performance for many AI, ML, and analytics tools that support GPU acceleration ‘out-of-the-box,’ such as TensorFlow, Pytorch, Caffe, RAPIDS, and other frameworks. Additionally, the scale-out InfiniBand interconnect supports a large set of existing AI and HPC tools that are built on NVIDIA’s NCCL communication libraries for seamless clustering of GPUs.
Host specifications
| Part |
Quantity
Count Units |
Specs
SKU ID, Performance Units, etc. |
| Processor |
96 vCPUs |
Intel Xeon (Sapphire Rapids) [x86-64] |
| Memory |
1,900 GiB |
|
| Local Storage |
1 Disk |
1,024 GiB |
| Remote Storage |
32Disks |
|
| Network |
8 NICs |
|
| Accelerators |
8 GPUs |
Nvidia H100 GPU (80GB) |
For features supported by this series, see the Feature support section.
Sizes in series
vCPUs (Qty.) and Memory for each size
| Size Name |
vCPUs (Qty.) |
Memory (GiB) |
| Standard_ND96isr_H100_v5 |
96 |
1,900 |
VM Basics resources
Local (temp) storage info for each size
| Size Name |
Temp Storage Disks (Qty.) |
Temp Disk Size (GiB) |
Max NVMe Disks (Qty.) |
NVMe Disk Size (TiB) |
| Standard_ND96isr_H100_v5 |
1 |
1,024 |
8 |
28 |
Storage resources
Table definitions
- Temp disk performance depends on many factors including block size, workload patterns of read/writes, queue depth (QD), and others. Temp disk performance specifications should be viewed as best case performance numbers, assuming 4k block sizes and QD=256 for IOPS, and 256k block sizes with QD=64 for throughput. Additionally, temp disk performance often differs between read and write operations. During steady state operations, write performance is expected to be lower than read performance.
- Storage capacity is shown in units of GiB or 1024^3 bytes. When you compare disks measured in GB (1000^3 bytes) to disks measured in GiB (1024^3) remember that capacity numbers given in GiB may appear smaller. For example, 1023 GiB = 1098.4 GB.
- Disk throughput is measured in input/output operations per second (IOPS) and MBps where MBps = 10^6 bytes/sec.
- To learn how to get the best storage performance for your VMs, see Virtual machine and disk performance.
Remote (uncached) storage info for each size
| Size Name |
Max Remote Storage Disks (Qty.) |
Uncached Disk IOPS |
Uncached Disk Speed (MBps) |
| Standard_ND96isr_H100_v5 |
32 |
40,800 |
612 |
Storage resources
Table definitions
- Some sizes support bursting to temporarily increase disk performance. Burst speeds can be maintained for up to 30 minutes at a time.
- Special Storage refers to either Ultra Disk or Premium SSD v2 storage.
- Storage capacity is shown in units of GiB or 1024^3 bytes. When you compare disks measured in GB (1000^3 bytes) to disks measured in GiB (1024^3) remember that capacity numbers given in GiB may appear smaller. For example, 1023 GiB = 1098.4 GB.
- Disk throughput is measured in input/output operations per second (IOPS) and MBps where MBps = 10^6 bytes/sec.
- Data disks can operate in cached or uncached modes. For cached data disk operation, the host cache mode is set to ReadOnly or ReadWrite. For uncached data disk operation, the host cache mode is set to None.
- To learn how to get the best storage performance for your VMs, see Virtual machine and disk performance.
Network interface info for each size
| Size Name |
Max NICs (Qty.) |
Max Bandwidth (Mbps) |
| Standard_ND96isr_H100_v5 |
8 |
80,000 |
Networking 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 will depend 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).
Accelerator (GPUs, FPGAs, etc.) info for each size
| Size Name |
Accelerators (Qty.) |
Accelerator-Memory (GB) |
| Standard_ND96isr_H100_v5 |
8 |
640 |
Feature support
List of all available sizes: Sizes
Pricing Calculator: Pricing Calculator
Information on Disk Types: Disk Types
Next steps
Take advantage of the latest performance and features available for your workloads by changing the size of a virtual machine.
Utilize Microsoft's in-house designed ARM processors with Azure Cobalt VMs.
Learn how to Monitor Azure virtual machines.