M8-4ms by Microsoft Azure

M8-4ms is a MS family [Memory Intensive] [Premium Storage capable] [Intel processor] 8 vCPUs server offered by Microsoft Azure with 4 vCPUs, 219 GiB of memory and 262 GB of storage. The pricing starts at 0.2228 USD per hour.
4 vCPU
219 GiB Memory
262 GB Storage
Spare SCore
2,725
(All-cores)
1,035
(Single-core)

Specifications

Server Metadata

Vendor ID
azure
Server ID
Standard_M8-4ms
Name
M8-4ms
API Reference
Standard_M8-4ms
Description
MS family [Memory Intensive] [Premium Storage capable] [Intel processor] 8 vCPUs
Family
MS
Hw Virt
Average Time To Start
22
Status
active
Observed At
2026-09-14T02:06:10.164101

Availability

REGION / IDSPOTONDEMAND
West US 3 (US) / westus3
0.2839 USD/h 1.536 USD/h
East US (US) / eastus
0.2839 USD/h 1.5365 USD/h
East US 2 (US) / eastus2
0.2839 USD/h 1.5365 USD/h
North Central US (US) / northcentralus
0.2839 USD/h 1.5365 USD/h
West US 2 (US) / westus2
0.2839 USD/h 1.5365 USD/h
Central India (IN) / centralindia
0.2929 USD/h 1.585 USD/h
Jio India Central (IN) / jioindiacentral
- 1.585 USD/h
Jio India West (IN) / jioindiawest
- 1.585 USD/h
Canada Central (CA) / canadacentral
0.3123 USD/h 1.6902 USD/h
Canada East (CA) / canadaeast
0.3123 USD/h 1.6902 USD/h
Mexico Central (ZA) / mexicocentral
0.3127 USD/h 1.6921 USD/h
Central US (US) / centralus
0.3208 USD/h 1.736 USD/h
North Europe (IE) / northeurope
0.3407 USD/h 1.8438 USD/h
South Central US (US) / southcentralus
0.3408 USD/h 1.844 USD/h
France Central (FR) / francecentral
0.3578 USD/h 1.936 USD/h
UK South (GB) / uksouth
0.3578 USD/h 1.936 USD/h
UK West (GB) / ukwest
0.3578 USD/h 1.936 USD/h
West US (US) / westus
0.369 USD/h 1.997 USD/h
Indonesia Central (ID) / indonesiacentral
0.3705 USD/h 2.0051 USD/h
Malaysia West (MY) / malaysiawest
0.3705 USD/h 2.0051 USD/h
Israel Central (IL) / israelcentral
0.3748 USD/h 2.028 USD/h
UAE North (AE) / uaenorth
0.3748 USD/h 2.028 USD/h
Qatar Central (QA) / qatarcentral
0.3751 USD/h 2.03 USD/h
South Africa North (ZA) / southafricanorth
0.3805 USD/h 2.059 USD/h
Austria East (AT) / austriaeast
0.3975 USD/h 2.151 USD/h
Germany West Central (DE) / germanywestcentral
0.3975 USD/h 2.151 USD/h
Poland Central (PL) / polandcentral
0.3975 USD/h 2.151 USD/h
Sweden Central (SE) / swedencentral
0.3975 USD/h 2.151 USD/h
Italy North (IT) / italynorth
0.3975 USD/h 2.1511 USD/h
West Europe (NL) / westeurope
0.3975 USD/h 2.1511 USD/h
Spain Central (ES) / spaincentral
0.398 USD/h 2.1536 USD/h
Norway East (NO) / norwayeast
0.406 USD/h 2.197 USD/h
Australia Central 2 (AU) / australiacentral2
0.2228 USD/h 2.2279 USD/h
Australia Central (AU) / australiacentral
0.4117 USD/h 2.2279 USD/h
Australia East (AU) / australiaeast
0.4117 USD/h 2.2279 USD/h
Australia Southeast (AU) / australiasoutheast
0.4117 USD/h 2.2279 USD/h
Japan East (JP) / japaneast
0.4117 USD/h 2.2279 USD/h
Japan West (JP) / japanwest
0.4117 USD/h 2.2279 USD/h
Southeast Asia (SG) / southeastasia
0.4117 USD/h 2.2279 USD/h
Korea Central (KR) / koreacentral
0.4117 USD/h 2.228 USD/h
Korea South (KR) / koreasouth
0.4117 USD/h 2.228 USD/h
South India (IN) / southindia
0.426 USD/h 2.305 USD/h
New Zealand North (NZ) / newzealandnorth
0.4323 USD/h 2.3393 USD/h
Switzerland North (CH) / switzerlandnorth
0.4373 USD/h 2.3662 USD/h
UAE Central (AE) / uaecentral
0.443 USD/h 2.397 USD/h
South Africa West (ZA) / southafricawest
0.477 USD/h 2.581 USD/h
East Asia (HK) / eastasia
0.5146 USD/h 2.7849 USD/h
Germany North (DE) / germanynorth
0.5167 USD/h 2.796 USD/h
Brazil South (BR) / brazilsouth
0.5537 USD/h 2.996 USD/h
Switzerland West (CH) / switzerlandwest
0.5684 USD/h 3.0758 USD/h
Brazil Southeast (US) / brazilsoutheast
0.6389 USD/h 3.457 USD/h

Processor

vCPUs
4
Hypervisor
Microsoft Hyper-V
CPU Allocation
Dedicated
CPU Cores
2
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8280M
CPU L1D Cache
32 KiB
CPU L1D Cache Total
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
39 MiB
CPU L3 Cache Total
39 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, cpuid, pni, pclmulqdq, vmx, ssse3, fma, cx16, pcid, sse4_1, sse4_2, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, tpr_shadow, ept, vpid, fsgsbase, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, avx512f, avx512dq, rdseed, adx, smap, clflushopt, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xsaves, vnmi, md_clear
Ecpus
2.6
Scalability
130

System Resources and Accelerators

MEMORY
Memory Amount
219 GiB
Memory Amount Actual
219 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    262 GB
    Storages
    • 262 GB ssd (temp disk)
    NETWORK
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    A memory-intensive virtual machine featuring massive RAM capacity per core for memory-bound enterprise workloads and database caching.

    Memory OptimizedStorage & Database

    Microsoft Azure M8-4ms is a memory-optimized virtual machine designed for workloads requiring massive memory capacity relative to compute resources. Powered by an Intel Xeon 8280M processor with 4 vCPUs (2 physical cores) running at 2.7 GHz, the instance features 219.0 GB of RAM, providing 54.69 GB of memory per core. It includes 262 GB of local storage and supports Premium Storage, with no GPU acceleration. Benchmark data indicates modest compute and memory bandwidth performance, with a Geekbench multi-core score of 1970.0 and a stress-ng multi-core score of 2724.76. Consequently, this server is best suited for memory-intensive applications, caching layers, and databases where memory capacity is the primary bottleneck rather than raw CPU throughput.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.189Score
    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) 249,162 ops/sec 1,917,397 ops/sec 0.13 50.00% 50.00% -63.90%
    Redis RPS (pipeline=16, SET) 1,693,211 ops/sec 11,681,410 ops/sec 0.145 20.00% 20.00% -32.00%
    PassMark Memory Mark (composite) 1,462 2,418 0.605 10.00% 10.00% -4.90%
    Memory bandwidth (read, 16 MB ~ L3) 21,881 MB/sec 108,140 MB/sec 0.202 10.00% 10.00% -14.80%
    PassMark single-thread CPU 1,469 Mops/s 2,365 Mops/s 0.621 10.00% 10.00% -4.65%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 885

    Geekbench Multi-Core

    Score: 1,970

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 3277
    Compression
    		 40774
    Encryption
    		 1250
    Extended Instructions
    		 2787
    Floating Point Maths
    		 4871
    Integer Maths
    		 9084
    Physics
    		 426
    Prime Numbers
    		 21
    Single Threaded
    		 1469
    String Sorting
    		 4902

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1462
    Database Operations
    		 1023
    Memory Latency
    		 74
    Memory Read Cached
    		 18079
    Memory Read Uncached
    		 5664
    Memory Write
    		 5971

    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

    INSTANCEvCPUsMEMORYGPUs
    M8-2ms 2219 GiB0
    M16-4ms 4438 GiB0
    M8ms 8219 GiB0
    M16-8ms 8438 GiB0
    M32-8ms 8875 GiB0
    M16ms 16438 GiB0
    M32-16ms 16875 GiB0

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    M8-4ms FAQs