Applies to: ✔️ Linux VMs ✔️ Windows VMs ✔️ Flexible scale sets ✔️ Uniform scale sets

HX-series VMs are optimized for workloads that require significant memory capacity with twice the memory capacity as HBv4. For example, workloads such as silicon design can use HX-series VMs to enable EDA customers targeting the most advanced manufacturing processes to run their most memory-intensive workloads.

HX VMs feature up to 176 AMD EPYC™ 9V33X ("Genoa-X") CPU cores with AMD's 3D V-Cache, clock frequencies up to 3.7 GHz, and no simultaneous multithreading. HX-series VMs also provide 1.4 TB of RAM, 2.3 GB L3 cache. The 2.3 GB L3 cache per VM can deliver up to 5.7 TB/s of bandwidth to amplify up to 780 GB/s of bandwidth from DRAM, for a blended average of 1.2 TB/s of effective memory bandwidth across a broad range of customer workloads. The VMs also provide up to 12 GB/s (reads) and 7 GB/s (writes) of block device SSD performance.

All HX-series VMs feature 400 Gb/s NDR InfiniBand from NVIDIA Networking to enable supercomputer-scale MPI workloads. These VMs are connected in a non-blocking fat tree for optimized and consistent RDMA performance. NDR continues to support features like Adaptive Routing and the Dynamically Connected Transport (DCT). This newest generation of InfiniBand also brings greater support for offload of MPI collectives, optimized real-world latencies due to congestion control intelligence, and enhanced adaptive routing capabilities. These features enhance application performance, scalability, and consistency, and their usage is recommended.

Premium Storage: Supported
Premium Storage caching: Supported
Ultra Disks: Supported (Learn more about availability, usage and performance)
Live Migration: Not Supported
Memory Preserving Updates: Not Supported
VM Generation Support: Generation 2
Accelerated Networking
Ephemeral OS Disks: Supported

Size Physical CPU cores Processor Memory (GB) Memory per core (GB) Memory bandwidth (GB/s) Base CPU frequency (GHz) Single-core frequency (GHz, peak) RDMA performance (Gb/s) MPI support Temp storage (TB) Max data disks Max Ethernet vNICs
Standard_HX176rs 176 AMD EPYC 9V33X (Genoa-X) 1408 8 780 2.4 3.7 400 All 2 * 1.8 32 8
Standard_HX176-144rs 144 AMD EPYC 9V33X (Genoa-X) 1408 10 780 2.4 3.7 400 All 2 * 1.8 32 8
Standard_HX176-96rs 96 AMD EPYC 9V33X (Genoa-X) 1408 15 780 2.4 3.7 400 All 2 * 1.8 32 8
Standard_HX176-48rs 48 AMD EPYC 9V33X (Genoa-X) 1408 29 780 2.4 3.7 400 All 2 * 1.8 32 8
Standard_HX176-24rs 24 AMD EPYC 9V33X (Genoa-X) 1408 59 780 2.4 3.7 400 All 2 * 1.8 32 8

Get started

Size table definitions

  • 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.

  • 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).

Other sizes and information

Pricing Calculator: Pricing Calculator

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

Next steps