m8gd.16xlarge by Amazon Web Services

m8gd.16xlarge is a General purpose [AWS Graviton processors] [Instance store volumes] Gen8 16xlarge server offered by Amazon Web Services with 64 vCPUs, 256 GiB of memory and 3.8 TB of storage. The pricing starts at 0.5069 USD per hour.
64 vCPU
256 GiB Memory
3.8 TB Storage
Spare SCore
109,168
(All-cores)
1,707
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
m8gd.16xlarge
Description
General purpose [AWS Graviton processors] [Instance store volumes] Gen8 16xlarge
Family
m8gd
Hw Virt
Status
active
Observed At
2026-09-10T13:38:53.580021

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.8027 USD/h 2.4538 USD/h
Ohio (US) / us-east-2
0.946267 USD/h 3.6902 USD/h
Northern Virgina (US) / us-east-1
1.14376 USD/h 3.6902 USD/h
Oregon (US) / us-west-2
1.22775 USD/h 3.6902 USD/h
(MX) / mx-central-1
1.4932 USD/h 3.8746 USD/h
(MY) / ap-southeast-5
1.4683 USD/h 3.9142 USD/h
Aragón (ES) / eu-south-2
0.530733 USD/h 4.1152 USD/h
Quebec (CA) / ca-central-1
0.925867 USD/h 4.1152 USD/h
Dublin (IE) / eu-west-1
1.582333 USD/h 4.1152 USD/h
London (GB) / eu-west-2
1.1334 USD/h 4.2784 USD/h
Paris (FR) / eu-west-3
1.25395 USD/h 4.311 USD/h
Frankfurt (DE) / eu-central-1
1.712167 USD/h 4.4416 USD/h
Melbourne (AU) / ap-southeast-4
0.9059 USD/h 4.6374 USD/h
Sydney (AU) / ap-southeast-2
1.357767 USD/h 4.6374 USD/h
Tokyo (JP) / ap-northeast-1
1.545367 USD/h 4.768 USD/h
Sao Paulo (BR) / sa-east-1
3.576533 USD/h 5.8784 USD/h

Processor

vCPUs
64
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
64
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
4 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
4 MiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
128 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
64
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
252 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    3800 GB
    Storage Type
    nvme ssd
    Storages
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    NETWORK
    Network Speed Baseline
    30 Gbps
    Network Speed Max
    30 Gbps
    Network Storage Speed Baseline
    20 Gbps
    Network Storage Speed Max
    20 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An ARM64 general-purpose instance combining sixty-four dedicated cores with high-speed local NVMe storage and top-tier memory bandwidth.

    General PurposeStorage & Database

    Amazon Web Services m8gd.16xlarge is a general-purpose, ARM64-based instance powered by 64 dedicated AWS Graviton Neoverse-V2 physical cores running at 2.8 GHz. It features 256 GB of system memory and 3,800 GB of high-speed local NVMe SSD storage, operating on the AWS Nitro hypervisor with a 30 Gbps baseline network bandwidth. Benchmark results indicate top-tier performance in memory bandwidth, multi-core processing, software compilation, and database operations, with Redis SET operations achieving 134.49 million operations per second. While single-core performance is average, the instance's high core density and integrated local storage provide excellent qualitative cost efficiency for multi-threaded tasks. This server is highly suited for high-throughput databases, caching layers, static web serving, and CI/CD compilation workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    4.99Score
    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) 15,431,006 ops/sec 1,917,397 ops/sec 8.05 50.00% 50.00% +184.00%
    Redis RPS (pipeline=16, SET) 83,098,953 ops/sec 11,681,410 ops/sec 7.11 20.00% 20.00% +48.00%
    PassMark Memory Mark (composite) 3,371 2,418 1.39 10.00% 10.00% +3.35%
    Memory bandwidth (read, 16 MB ~ L3) 529,951 MB/sec 108,140 MB/sec 4.9 10.00% 10.00% +17.20%
    PassMark single-thread CPU 1,942 Mops/s 2,365 Mops/s 0.821 10.00% 10.00% -1.95%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,899

    Geekbench Multi-Core

    Score: 25,674

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 44130
    Compression
    		 425198
    Encryption
    		 12102
    Extended Instructions
    		 56296
    Floating Point Maths
    		 387919
    Integer Maths
    		 333924
    Physics
    		 16140
    Prime Numbers
    		 689
    Single Threaded
    		 1942
    String Sorting
    		 292143

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3371
    Database Operations
    		 47461
    Memory Latency
    		 47
    Memory Read Cached
    		 20700
    Memory Read Uncached
    		 20212
    Memory Write
    		 21295

    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
    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.16xlarge FAQs