D32ps_v5 by Microsoft Azure

D32ps_v5 is a DPSv5 family [ARM processor] [Premium Storage capable] 32 vCPUs server offered by Microsoft Azure with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.1497 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
57,217
(All-cores)
1,823
(Single-core)

Specifications

Server Metadata

Vendor ID
azure
Server ID
Standard_D32ps_v5
Name
D32ps_v5
API Reference
Standard_D32ps_v5
Description
DPSv5 family [ARM processor] [Premium Storage capable] 32 vCPUs
Family
DPSv5
Hw Virt
Average Time To Start
18
Status
active
Observed At
2026-10-25T04:45:15.472555

Availability

REGION / IDSPOTONDEMAND
Central India (IN) / centralindia
0.1497 USD/h 0.81 USD/h
Jio India Central (IN) / jioindiacentral
- 0.81 USD/h
Jio India West (IN) / jioindiawest
- 0.81 USD/h
East US 2 (US) / eastus2
0.2277 USD/h 1.232 USD/h
North Central US (US) / northcentralus
0.2277 USD/h 1.232 USD/h
West US 2 (US) / westus2
0.2277 USD/h 1.232 USD/h
West US 3 (US) / westus3
0.2277 USD/h 1.232 USD/h
East US (US) / eastus
0.2604 USD/h 1.232 USD/h
Sweden Central (SE) / swedencentral
0.2425 USD/h 1.312 USD/h
Canada Central (CA) / canadacentral
0.2532 USD/h 1.37 USD/h
North Europe (IE) / northeurope
0.2543 USD/h 1.376 USD/h
Central US (US) / centralus
0.2571 USD/h 1.392 USD/h
UK South (GB) / uksouth
0.2269 USD/h 1.421 USD/h
West US (US) / westus
0.265 USD/h 1.434 USD/h
France Central (FR) / francecentral
0.2661 USD/h 1.44 USD/h
Germany West Central (DE) / germanywestcentral
0.272 USD/h 1.472 USD/h
West Europe (NL) / westeurope
0.272 USD/h 1.472 USD/h
South Central US (US) / southcentralus
0.2731 USD/h 1.478 USD/h
West Central US (US) / westcentralus
0.2731 USD/h 1.478 USD/h
Australia East (AU) / australiaeast
0.2839 USD/h 1.536 USD/h
Southeast Asia (SG) / southeastasia
0.2839 USD/h 1.536 USD/h
Japan East (JP) / japaneast
0.2927 USD/h 1.584 USD/h
Switzerland North (CH) / switzerlandnorth
0.2992 USD/h 1.619 USD/h
East Asia (HK) / eastasia
0.3134 USD/h 1.696 USD/h

Processor

vCPUs
32
Hypervisor
Microsoft Hyper-V
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
3 GHz
CPU Architecture
arm64
CPU Manufacturer
Ampere
CPU Family
ARMv8
CPU Model
Neoverse-N1
CPU L1D Cache
64 KiB
CPU L1D Cache Total
2 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
2 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
32 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 MiB
CPU Flags
fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, lrcpc, dcpop, asimddp
Ecpus
31.4
Scalability
98.12

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An ARM64-powered general-purpose server offering thirty-two dedicated physical cores and balanced memory for efficient multi-threaded workloads.

      General Purpose

      Microsoft Azure D32ps_v5 is an ARM64-based general-purpose server powered by a 32-core Ampere Altra Neoverse-N1 processor running at 3.0 GHz. It features 128.0 GB of RAM, providing a balanced 4.0 GB per core, with no local storage or GPU hardware. Operating on Microsoft Hyper-V, the instance delivers average multi-core performance, as evidenced by a stress-ng multi-core score of 57217.14 and a PassMark CPU score of 20115.76. However, single-core capabilities and large LLM inference speeds represent performance tradeoffs, scoring in the weak and poor categories respectively. Qualitatively, its dedicated physical cores offer efficient resource density for multi-threaded tasks. The D32ps_v5 is best suited for workloads such as static web serving, database operations, and software compilation, rather than single-threaded or heavy AI inference applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.6Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 4,089,876 ops/sec 1,919,289 ops/sec 2.2 50.00% 50.00% +48.00%
      Redis RPS (pipeline=16, SET) 23,985,277 ops/sec 11,728,058 ops/sec 2 20.00% 20.00% +15.00%
      PassMark Memory Mark (composite) 1,946 2,416 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 182,081 MB/sec 108,466 MB/sec 1.6 10.00% 10.00% +4.80%
      PassMark single-thread CPU 1,329 Mops/s 2,365 Mops/s 0.54 10.00% 10.00% -6.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,104

      Geekbench Multi-Core

      Score: 12,952

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 20,116
      Compression
      		 179,119
      Encryption
      		 5,122
      Extended Instructions
      		 23,438
      Floating Point Maths
      		 113,326
      Integer Maths
      		 148,797
      Physics
      		 2,581
      Prime Numbers
      		 149
      Single Threaded
      		 1,329
      String Sorting
      		 104,783

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,946
      Database Operations
      		 20,048
      Memory Latency
      		 70
      Memory Read Cached
      		 11,363
      Memory Read Uncached
      		 8,426
      Memory Write
      		 14,944

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 102.6 24.59 0.24×
      bitops
      		 108,501 3,467,070 31.95×
      branch
      		 220,877 7,062,193 31.97×
      funccall
      		 1,340 42,779 31.92×
      funcret
      		 20,915 665,758 31.83×
      hash
      		 128,225 4,094,984 31.94×
      intmath
      		 31,345 1,003,292 32.01×
      nop
      		 173,635 5,549,534 31.96×
      prime
      		 336,873 10,755,621 31.93×
      rotate
      		 96,522 3,084,830 31.96×
      str
      		 514,502 16,442,473 31.96×
      wcs
      		 119,169 3,808,053 31.96×
      CryptographySingleMultiScaling
      crypt
      		 2,911 92,606 31.81×
      CompressionSingleMultiScaling
      jpeg
      		 510.32 16,201 31.75×
      zlib
      		 31.89 1,127 35.35×
      HypervisorSingleMultiScaling
      clock
      		 22,645 244,771 10.81×
      clone
      		 204.29 4,555 22.30×
      context
      		 2,612 83,272 31.88×
      cpu-sched
      		 56.84 2,107 37.07×
      eventfd
      		 50,907 880,557 17.30×
      fault
      		 12,990 267,722 20.61×
      fork
      		 3,586 58,560 16.33×
      getrandom
      		 48,941 1,563,979 31.96×
      hrtimers
      		 135,867 3,389,244 24.95×
      mprotect
      		 888,530 10,242,278 11.53×
      mtx
      		 7,302,173 1,338,606,607 183.32×
      munmap
      		 2,577 52,860 20.51×
      null
      		 459,141 14,701,077 32.02×
      pipe
      		 768,805 15,019,318 19.54×
      priv-instr
      		 752,808 11,831,992 15.72×
      resched
      		 6,402,610 6,086,872 0.95×
      switch
      		 74,456 8,857,446 118.96×
      timermix
      		 388,757 12,391,428 31.87×
      tlb-shootdown
      		 5,732 6,273 1.09×
      vdso
      		 46,815,206 1,496,050,070 31.96×
      vfork
      		 24,312 239,019 9.83×
      yield
      		 26,834,774 34,173,960 1.27×
      zero
      		 2,077,715 66,386,312 31.95×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 1,336 42,646 31.91×
      expmath
      		 240.14 7,669 31.94×
      fma
      		 640,491 20,478,446 31.97×
      fp
      		 103.2 3,307 32.05×
      fractal
      		 6.6 206.05 31.22×
      hyperbolic
      		 244.34 7,788 31.87×
      logmath
      		 293.56 9,382 31.96×
      matrix
      		 5,349 170,908 31.95×
      matrix-3d
      		 538.67 6,338 11.77×
      monte-carlo
      		 193.07 6,177 31.99×
      mpfr
      		 642.1 20,498 31.92×
      powmath
      		 176.54 5,642 31.96×
      trig
      		 329.62 10,527 31.94×
      veccmp
      		 17,154 548,303 31.96×
      vecfp
      		 745.33 23,836 31.98×
      vecmath
      		 3,091 98,796 31.96×
      vecshuf
      		 671.83 21,327 31.74×
      vecwide
      		 18,394 588,277 31.98×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 5.4 172.79 32.00×
      bsearch
      		 258.35 8,259 31.97×
      bubblesort
      		 0.8 25.6 32.00×
      fibsearch
      		 273.62 8,746 31.96×
      heapsort
      		 8.2 263.79 32.17×
      hsearch
      		 4,899 156,544 31.96×
      insertionsort
      		 4.6 146.8 31.91×
      malloc
      		 2,889,345 47,459,751 16.43×
      mcontend
      		 181.12 65,877 363.72×
      mergesort
      		 27.6 886.76 32.13×
      qsort
      		 19.6 624.77 31.88×
      skiplist
      		 5,349 170,847 31.94×
      tree
      		 1.2 23.17 19.31×
      MemorySingleMultiScaling
      cache
      		 391,997 569,602 1.45×
      cachehammer
      		 167,626 477,525 2.85×
      cacheline
      		 31.77 1,787 56.25×
      l1cache
      		 182.22 5,797 31.81×
      memcpy
      		 443.78 14,180 31.95×
      memrate
      		 3.13 30.54 9.76×
      memthrash
      		 170.09 317.25 1.87×
      ptr-chase
      		 20,401,851 292,884,624 14.36×
      spinmem
      		 801.96 1,921 2.39×
      stream
      		 67.71 27,983 413.27×
      vm
      		 59,132 1,791,543 30.30×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      D2ps_v5 28 GiB0
      D4ps_v5 416 GiB0
      D8ps_v5 832 GiB0
      D16ps_v5 1664 GiB0
      D48ps_v5 48192 GiB0
      D64ps_v5 64208 GiB0

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      D32ps_v5 FAQs