E32ps_v5 by Microsoft Azure

E32ps_v5 is a EPSv5 family [ARM processor] [Premium Storage capable] 32 vCPUs server offered by Microsoft Azure with 32 vCPUs, 208 GiB of memory and 0 GB of storage. The pricing starts at 0.1922 USD per hour.
32 vCPU
208 GiB Memory
Spare SCore
57,228
(All-cores)
1,822
(Single-core)

Specifications

Server Metadata

Vendor ID
azure
Server ID
Standard_E32ps_v5
Name
E32ps_v5
API Reference
Standard_E32ps_v5
Description
EPSv5 family [ARM processor] [Premium Storage capable] 32 vCPUs
Family
EPSv5
Hw Virt
Status
active
Observed At
2026-11-10T19:28:00.296598

Availability

REGION / IDSPOTONDEMAND
Central India (IN) / centralindia
0.1922 USD/h 1.04 USD/h
Jio India Central (IN) / jioindiacentral
- 1.04 USD/h
Jio India West (IN) / jioindiawest
- 1.04 USD/h
East US 2 (US) / eastus2
0.2981 USD/h 1.613 USD/h
North Central US (US) / northcentralus
0.2981 USD/h 1.613 USD/h
West US 2 (US) / westus2
0.2981 USD/h 1.613 USD/h
West US 3 (US) / westus3
0.2981 USD/h 1.613 USD/h
East US (US) / eastus
0.341 USD/h 1.613 USD/h
Sweden Central (SE) / swedencentral
0.3164 USD/h 1.712 USD/h
Canada Central (CA) / canadacentral
0.3264 USD/h 1.766 USD/h
West US (US) / westus
0.3312 USD/h 1.792 USD/h
North Europe (IE) / northeurope
0.3336 USD/h 1.805 USD/h
Central US (US) / centralus
0.3365 USD/h 1.822 USD/h
France Central (FR) / francecentral
0.3489 USD/h 1.888 USD/h
UK South (GB) / uksouth
0.3328 USD/h 1.894 USD/h
Australia East (AU) / australiaeast
0.3572 USD/h 1.933 USD/h
South Central US (US) / southcentralus
0.3576 USD/h 1.935 USD/h
West Central US (US) / westcentralus
0.3576 USD/h 1.935 USD/h
Germany West Central (DE) / germanywestcentral
0.3596 USD/h 1.946 USD/h
Japan East (JP) / japaneast
0.3596 USD/h 1.946 USD/h
Southeast Asia (SG) / southeastasia
0.3596 USD/h 1.946 USD/h
West Europe (NL) / westeurope
0.3596 USD/h 1.946 USD/h
Switzerland North (CH) / switzerlandnorth
0.3957 USD/h 2.141 USD/h
East Asia (HK) / eastasia
0.3962 USD/h 2.144 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
208 GiB
Memory Amount Actual
208 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

      Server Description

      An ARM-powered virtual machine offering thirty-two dedicated physical cores and a high memory-to-core ratio for scalable multi-threaded workloads.

      Memory OptimizedGeneral Purpose

      The Microsoft Azure E32ps_v5 is an ARM-based virtual machine from the EPSv5 family, configured with 32 dedicated physical cores on an Ampere Neoverse-N1 processor running at 3.0 GHz. It features 208.0 GB of RAM, providing 6.5 GB of memory per core, but lacks local storage and GPUs. Benchmarks show average multi-core and memory performance, with a Geekbench multi-core score of 13047.0 and a Passmark database score of 21174.02, though single-core performance is weaker. This resource profile offers qualitative cost efficiency for memory-intensive workloads that scale across multiple physical cores. It is suited for database operations, static web serving, software compilation, and multi-threaded data processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.7Score
      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) 4,232,921 ops/sec 1,922,940 ops/sec 2.2 50.00% 50.00% +48.00%
      Redis RPS (pipeline=16, SET) 24,784,272 ops/sec 11,809,431 ops/sec 2.1 20.00% 20.00% +16.00%
      PassMark Memory Mark (composite) 1,948 2,406 0.79 10.00% 10.00% -2.30%
      Memory bandwidth (read, 16 MB ~ L3) 184,893 MB/sec 108,668 MB/sec 1.6 10.00% 10.00% +4.80%
      PassMark single-thread CPU 1,335 Mops/s 2,365 Mops/s 0.54 10.00% 10.00% -6.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,129

      Geekbench Multi-Core

      Score: 13,047

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 20,365
      Compression
      		 179,527
      Encryption
      		 5,140
      Extended Instructions
      		 23,528
      Floating Point Maths
      		 113,323
      Integer Maths
      		 148,829
      Physics
      		 2,999
      Prime Numbers
      		 178
      Single Threaded
      		 1,335
      String Sorting
      		 106,142

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,948
      Database Operations
      		 21,174
      Memory Latency
      		 72
      Memory Read Cached
      		 11,377
      Memory Read Uncached
      		 8,910
      Memory Write
      		 15,053

      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
      E2ps_v5 216 GiB0
      E4ps_v5 432 GiB0
      E8ps_v5 864 GiB0
      E16ps_v5 16128 GiB0
      E20ps_v5 20160 GiB0

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      E32ps_v5 FAQs