m8gd.8xlarge by Amazon Web Services

m8gd.8xlarge is a General purpose [AWS Graviton processors] [Instance store volumes] Gen8 8xlarge server offered by Amazon Web Services with 32 vCPUs, 128 GiB of memory and 1.9 TB of storage. The pricing starts at 0.2058 USD per hour.
32 vCPU
128 GiB Memory
1.9 TB Storage
Spare SCore
54,584
(All-cores)
1,707
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
m8gd.8xlarge
Description
General purpose [AWS Graviton processors] [Instance store volumes] Gen8 8xlarge
Family
m8gd
Hw Virt
Status
active
Observed At
2026-10-25T13:03:52.291103

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.554233 USD/h 1.2269 USD/h
Ohio (US) / us-east-2
0.579167 USD/h 1.8451 USD/h
Oregon (US) / us-west-2
0.8339 USD/h 1.8451 USD/h
Northern Virgina (US) / us-east-1
1.28446 USD/h 1.8451 USD/h
(MX) / mx-central-1
0.9326 USD/h 1.9373 USD/h
(MY) / ap-southeast-5
0.581167 USD/h 1.9571 USD/h
Stockholm (SE) / eu-north-1
0.3381 USD/h 1.9597 USD/h
Aragón (ES) / eu-south-2
0.2058 USD/h 2.0576 USD/h
Quebec (CA) / ca-central-1
0.821167 USD/h 2.0576 USD/h
Dublin (IE) / eu-west-1
0.941733 USD/h 2.0576 USD/h
London (GB) / eu-west-2
0.551425 USD/h 2.1392 USD/h
Paris (FR) / eu-west-3
0.97415 USD/h 2.1555 USD/h
California (US) / us-west-1
1.13535 USD/h 2.1718 USD/h
Frankfurt (DE) / eu-central-1
0.7733 USD/h 2.2208 USD/h
Singapore (SG) / ap-southeast-1
0.8136 USD/h 2.3024 USD/h
Melbourne (AU) / ap-southeast-4
0.6273 USD/h 2.3187 USD/h
Sydney (AU) / ap-southeast-2
0.7715 USD/h 2.3187 USD/h
Tokyo (JP) / ap-northeast-1
0.8491 USD/h 2.384 USD/h
Sao Paulo (BR) / sa-east-1
1.7571 USD/h 2.9392 USD/h

Processor

vCPUs
32
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
2.8 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv9
CPU Model
Neoverse-V2
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
2 MiB
CPU L2 Cache Total
64 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 MiB
CPU Flags
fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, jscvt, fcma, lrcpc, dcpop, sha3, asimddp, sha512, sve, asimdfhm, dit, uscat, ilrcpc, flagm, ssbs, sb, paca, pacg, dcpodp, sve2, sveaes, svepmull, svebitperm, svesha3, flagm2, frint, svei8mm, svebf16, i8mm, bf16, dgh, rng, bti
Ecpus
32
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
126 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    1900 GB
    Storage Type
    nvme ssd
    Storages
    • 1900 GB nvme ssd
    NETWORK
    Network Speed Baseline
    15 Gbps
    Network Speed Max
    15 Gbps
    Network Storage Speed Baseline
    10 Gbps
    Network Storage Speed Max
    10 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    A balanced ARM64 platform combining dedicated Neoverse-V2 cores with high-speed local NVMe storage for database and multi-threaded workloads.

    General PurposeStorage & Database

    Amazon Web Services m8gd.8xlarge is a general-purpose ARM64 instance featuring 32 dedicated physical cores on the AWS Neoverse-V2 ARMv9 architecture running at 2.8 GHz. It is configured with 128 GB of RAM and a bundled 1900 GB local NVMe SSD instance store, operating on the AWS Nitro hypervisor with a 15 Gbps baseline network. Benchmarks highlight top-tier memory write bandwidth, excellent multi-core Geekbench scores, and superior database operation throughput. Conversely, single-core execution and large-scale LLM inference remain average to weak. This hardware profile offers high resource density and qualitative cost efficiency by combining dedicated ARM compute with high-speed local storage, making it highly suitable for database hosting, Redis caching, multi-threaded software compilation, and static web serving.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.8Score
    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) 7,097,081 ops/sec 1,919,289 ops/sec 3.7 50.00% 50.00% +92.00%
    Redis RPS (pipeline=16, SET) 39,652,407 ops/sec 11,728,058 ops/sec 3.3 20.00% 20.00% +27.00%
    PassMark Memory Mark (composite) 3,322 2,416 1.4 10.00% 10.00% +3.40%
    Memory bandwidth (read, 16 MB ~ L3) 372,263 MB/sec 108,466 MB/sec 3.4 10.00% 10.00% +13.00%
    PassMark single-thread CPU 1,940 Mops/s 2,365 Mops/s 0.79 10.00% 10.00% -2.30%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,845

    Geekbench Multi-Core

    Score: 21,404

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    26,333
    Compression
    212,656
    Encryption
    6,064
    Extended Instructions
    29,421
    Floating Point Maths
    194,008
    Integer Maths
    166,975
    Physics
    8,954
    Prime Numbers
    386
    Single Threaded
    1,940
    String Sorting
    146,953

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    3,322
    Database Operations
    47,243
    Memory Latency
    48
    Memory Read Cached
    21,113
    Memory Read Uncached
    19,560
    Memory Write
    21,105

    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
    m8gd.medium 14 GiB0
    m8gd.large 28 GiB0
    m8gd.xlarge 416 GiB0
    m8gd.2xlarge 832 GiB0
    m8gd.4xlarge 1664 GiB0
    m8gd.12xlarge 48192 GiB0
    m8gd.16xlarge 64256 GiB0

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    m8gd.8xlarge FAQs