m7gd.large by Amazon Web Services

m7gd.large is a General purpose [AWS Graviton processors] [Instance store volumes] Gen7 large server offered by Amazon Web Services with 2 vCPUs, 8 GiB of memory and 118 GB of storage. The pricing starts at 0.0149 USD per hour.
2 vCPU
8 GiB Memory
118 GB Storage
Spare SCore
3,043
(All-cores)
1,533
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
m7gd.large
Description
General purpose [AWS Graviton processors] [Instance store volumes] Gen7 large
Family
m7gd
Hw Virt
Status
active
Observed At
2026-09-06T21:59:44.270751

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.023867 USD/h 0.071 USD/h
Ohio (US) / us-east-2
0.026767 USD/h 0.1068 USD/h
Oregon (US) / us-west-2
0.0386 USD/h 0.1068 USD/h
Northern Virgina (US) / us-east-1
0.05924 USD/h 0.1068 USD/h
(MX) / mx-central-1
0.0414 USD/h 0.1121 USD/h
(MY) / ap-southeast-5
0.042733 USD/h 0.1133 USD/h
(TH) / ap-southeast-7
0.066367 USD/h 0.1133 USD/h
Stockholm (SE) / eu-north-1
0.025167 USD/h 0.1134 USD/h
Aragón (ES) / eu-south-2
0.016167 USD/h 0.1191 USD/h
Dublin (IE) / eu-west-1
0.0498 USD/h 0.1191 USD/h
Taipei (TW) / ap-east-2
0.0488 USD/h 0.1242 USD/h
Paris (FR) / eu-west-3
0.0494 USD/h 0.1247 USD/h
California (US) / us-west-1
0.04965 USD/h 0.1257 USD/h
Frankfurt (DE) / eu-central-1
0.061833 USD/h 0.1285 USD/h
United Arab Emirates / me-central-1
0.0536 USD/h 0.131 USD/h
Seoul (KR) / ap-northeast-2
0.033767 USD/h 0.1314 USD/h
Singapore (SG) / ap-southeast-1
0.057533 USD/h 0.1332 USD/h
Sydney (AU) / ap-southeast-2
0.056333 USD/h 0.1342 USD/h
Tokyo (JP) / ap-northeast-1
0.042533 USD/h 0.138 USD/h
(NZ) / ap-southeast-6
0.0473 USD/h 0.1409 USD/h
Sao Paulo (BR) / sa-east-1
0.0315 USD/h 0.1701 USD/h

Processor

vCPUs
2
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
2
CPU Speed
2.6 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv8
CPU Model
Neoverse-V1
CPU L1D Cache
64 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 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, jscvt, fcma, lrcpc, dcpop, sha3, sm3, sm4, asimddp, sha512, sve, asimdfhm, dit, uscat, ilrcpc, flagm, ssbs, paca, pacg, dcpodp, svei8mm, svebf16, i8mm, bf16, dgh, rng
Ecpus
2
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
8 GiB
Memory Amount Actual
8 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    118 GB
    Storage Type
    nvme ssd
    Storages
    • 118 GB nvme ssd
    NETWORK
    Network Speed Baseline
    0.937 Gbps
    Network Speed Max
    12.5 Gbps
    Network Storage Speed Baseline
    0.63 Gbps
    Network Storage Speed Max
    10 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An ARM64 general-purpose instance featuring dedicated Graviton processing and integrated local NVMe SSD storage for balanced, entry-level workloads.

    General PurposeStorage & Database

    Amazon Web Services m7gd.large is a general-purpose virtual server utilizing the AWS Nitro hypervisor and powered by a 2.6 GHz ARMv8 AWS Graviton Neoverse-V1 processor. It features 2 dedicated vCPUs, 8.0 GB of memory, and a bundled 118 GB local NVMe SSD instance store. Benchmark evaluations show average single-core CPU and text processing capabilities, though multi-core performance and memory write bandwidth are relatively weak. The server lacks GPU acceleration and operates with a baseline network bandwidth of 1 Gbps. Qualitatively, the integrated local NVMe storage offers a cost-efficient option for workloads requiring rapid local read/write access without network storage overhead. It is suitable for light general-purpose computing, single-threaded applications, and small database operations.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.231Score
    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) 306,704 ops/sec 1,917,397 ops/sec 0.16 50.00% 50.00% -60.00%
    Redis RPS (pipeline=16, SET) 1,911,415 ops/sec 11,681,410 ops/sec 0.164 20.00% 20.00% -30.30%
    PassMark Memory Mark (composite) 1,035 2,418 0.428 10.00% 10.00% -8.14%
    Memory bandwidth (read, 16 MB ~ L3) 59,938 MB/sec 108,140 MB/sec 0.554 10.00% 10.00% -5.73%
    PassMark single-thread CPU 1,561 Mops/s 2,365 Mops/s 0.66 10.00% 10.00% -4.07%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,409

    Geekbench Multi-Core

    Score: 2,532

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 1556
    Compression
    		 10301
    Encryption
    		 273
    Extended Instructions
    		 1650
    Floating Point Maths
    		 9423
    Integer Maths
    		 9486
    Physics
    		 570
    Prime Numbers
    		 25
    Single Threaded
    		 1561
    String Sorting
    		 7763

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1035
    Database Operations
    		 2020
    Memory Latency
    		 52
    Memory Read Cached
    		 19687
    Memory Read Uncached
    		 18935
    Memory Write
    		 19675

    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
    m7gd.medium 14 GiB0
    m7gd.xlarge 416 GiB0
    m7gd.2xlarge 832 GiB0
    m7gd.4xlarge 1664 GiB0
    m7gd.8xlarge 32128 GiB0
    m7gd.12xlarge 48192 GiB0
    m7gd.16xlarge 64256 GiB0

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    m7gd.large FAQs