m8gd.24xlarge by Amazon Web Services

m8gd.24xlarge is a General purpose [AWS Graviton processors] [Instance store volumes] Gen8 24xlarge server offered by Amazon Web Services with 96 vCPUs, 384 GiB of memory and 5.7 TB of storage. The pricing starts at 0.612 USD per hour.
96 vCPU
384 GiB Memory
5.7 TB Storage
Spare SCore
163,541
(All-cores)
1,706
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
m8gd.24xlarge
Description
General purpose [AWS Graviton processors] [Instance store volumes] Gen8 24xlarge
Family
m8gd
Hw Virt
Status
active
Observed At
2026-10-26T00:02:14.391156

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
1.385733 USD/h 3.6806 USD/h
Ohio (US) / us-east-2
0.930433 USD/h 5.5354 USD/h
Oregon (US) / us-west-2
1.731175 USD/h 5.5354 USD/h
Northern Virgina (US) / us-east-1
5.4831 USD/h 5.5354 USD/h
(MX) / mx-central-1
1.6572 USD/h 5.8118 USD/h
(MY) / ap-southeast-5
1.874367 USD/h 5.8714 USD/h
Stockholm (SE) / eu-north-1
1.06295 USD/h 5.879 USD/h
Aragón (ES) / eu-south-2
1.011533 USD/h 6.1728 USD/h
Quebec (CA) / ca-central-1
1.109833 USD/h 6.1728 USD/h
Dublin (IE) / eu-west-1
2.727167 USD/h 6.1728 USD/h
London (GB) / eu-west-2
1.2711 USD/h 6.4176 USD/h
Paris (FR) / eu-west-3
1.71805 USD/h 6.4666 USD/h
California (US) / us-west-1
1.33455 USD/h 6.5155 USD/h
Frankfurt (DE) / eu-central-1
1.716067 USD/h 6.6624 USD/h
Singapore (SG) / ap-southeast-1
1.863167 USD/h 6.9072 USD/h
Sydney (AU) / ap-southeast-2
1.4953 USD/h 6.9562 USD/h
Melbourne (AU) / ap-southeast-4
1.9633 USD/h 6.9562 USD/h
Tokyo (JP) / ap-northeast-1
1.660067 USD/h 7.152 USD/h
Sao Paulo (BR) / sa-east-1
4.3089 USD/h 8.8176 USD/h

Processor

vCPUs
96
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
96
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
6 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
6 MiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
192 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
95.8
Scalability
99.79

System Resources and Accelerators

MEMORY
Memory Amount
384 GiB
Memory Amount Actual
378 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    5700 GB
    Storage Type
    nvme ssd
    Storages
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    NETWORK
    Network Speed Baseline
    40 Gbps
    Network Speed Max
    40 Gbps
    Network Storage Speed Baseline
    30 Gbps
    Network Storage Speed Max
    30 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An ARM64 general-purpose server combining 96 dedicated cores with high-capacity local NVMe storage for demanding multi-threaded database workloads.

    General PurposeStorage & Database

    Amazon Web Services m8gd.24xlarge is a general-purpose instance powered by 96 dedicated physical ARMv9 Neoverse-V2 cores running at 2.8 GHz. Built on the AWS Nitro hypervisor, it features 384.0 GB of RAM and 5700 GB of local NVMe SSD storage. The instance delivers top-tier multi-core CPU performance, exceptional memory bandwidth, and high-throughput database and Redis operations. While single-core benchmarks fall in the average tier, its multi-threaded capabilities and high-speed local storage offer significant resource density. This server is optimized for high-I/O workloads, multi-threaded databases, software compilation, and static web serving.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    6.5Score
    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) 23,138,284 ops/sec 1,919,289 ops/sec 12 50.00% 50.00% +250.00%
    Redis RPS (pipeline=16, SET) 121,968,191 ops/sec 11,728,058 ops/sec 10 20.00% 20.00% +58.00%
    PassMark Memory Mark (composite) 3,390 2,416 1.4 10.00% 10.00% +3.40%
    Memory bandwidth (read, 16 MB ~ L3) 546,167 MB/sec 108,466 MB/sec 5 10.00% 10.00% +17.00%
    PassMark single-thread CPU 1,942 Mops/s 2,365 Mops/s 0.79 10.00% 10.00% -2.30%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,896

    Geekbench Multi-Core

    Score: 25,762

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 56,748
    Compression
    		 637,186
    Encryption
    		 18,110
    Extended Instructions
    		 80,633
    Floating Point Maths
    		 581,392
    Integer Maths
    		 500,412
    Physics
    		 19,285
    Prime Numbers
    		 845
    Single Threaded
    		 1,942
    String Sorting
    		 432,492

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3,390
    Database Operations
    		 47,387
    Memory Latency
    		 47
    Memory Read Cached
    		 21,189
    Memory Read Uncached
    		 20,194
    Memory Write
    		 21,292

    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.8xlarge 32128 GiB0
    m8gd.12xlarge 48192 GiB0

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    m8gd.24xlarge FAQs