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im4gn.large by Amazon Web Services

im4gn.large is a Storage optimized with a one to four ratio of vCPU to memory [AWS Graviton processors] [Network and EBS optimized] Gen4 large server offered by Amazon Web Services with 2 vCPUs, 8 GiB of memory and 937 GB of storage. The pricing starts at 0.03 USD per hour.
2 vCPU
8 GiB Memory
937 GB Storage
Spare SCore
3013
(All-cores)
1520
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
im4gn.large
Description
Storage optimized with a one to four ratio of vCPU to memory [AWS Graviton processors] [Network and EBS optimized] Gen4 large
Family
im4gn
Hw Virt
Status
active
Observed At
2026-07-21T22:13:14.059933

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.0336 USD/h 0.1819 USD/h
Oregon (US) / us-west-2
0.054767 USD/h 0.1819 USD/h
Northern Virgina (US) / us-east-1
0.0535 USD/h 0.1819 USD/h
Aragón (ES) / eu-south-2
0.043567 USD/h 0.2006 USD/h
Quebec (CA) / ca-central-1
0.050067 USD/h 0.2006 USD/h
Dublin (IE) / eu-west-1
0.090933 USD/h 0.2006 USD/h
Mumbai (IN) / ap-south-1
0.046333 USD/h 0.2065 USD/h
Milan (IT) / eu-south-1
0.057867 USD/h 0.211 USD/h
London (GB) / eu-west-2
0.058033 USD/h 0.211 USD/h
Paris (FR) / eu-west-3
0.076367 USD/h 0.211 USD/h
Tokyo (JP) / ap-northeast-1
0.055367 USD/h 0.2134 USD/h
Frankfurt (DE) / eu-central-1
0.065433 USD/h 0.2169 USD/h
Sydney (AU) / ap-southeast-2
0.066567 USD/h 0.218 USD/h
Singapore (SG) / ap-southeast-1
0.070567 USD/h 0.218 USD/h

Processor

vCPUs
2
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
2
CPU Speed
2.5 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv8
CPU Model
Neoverse-N1
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, lrcpc, dcpop, asimddp, ssbs
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
    937 GB
    Storage Type
    nvme ssd
    Storages
    • 937 GB nvme ssd
    NETWORK
    Network Speed Baseline
    3.125 Gbps
    Network Speed Max
    25 Gbps
    Network Storage Speed Baseline
    1.25 Gbps
    Network Storage Speed Max
    10 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An ARM64 storage-optimized instance featuring dedicated Graviton cores and a high-capacity local NVMe SSD for storage-focused workloads.

    Storage & DatabaseGeneral Purpose

    Amazon Web Services im4gn.large is a storage-optimized instance featuring 2 dedicated ARM64 vCPUs powered by a 2.5 GHz AWS Graviton Neoverse-N1 processor. Built on the Nitro hypervisor, it includes 8.0 GB of memory and a bundled 937 GB local NVMe SSD, alongside a baseline network bandwidth of 3 Gbps. Benchmark data shows average single-core CPU performance with a stress-ng score of 1519.58, though multi-core and memory bandwidth metrics fall into lower percentiles, such as a multi-core score of 3013.28 and uncached read speeds of 36.84 GB/sec. This hardware profile offers qualitative cost efficiency for storage-dense configurations where local NVMe capacity is prioritized over raw compute power. The im4gn.large is best suited for decentralized database operations, lightweight static web serving, and storage-bound ARM64 applications.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.17Score
    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) 214,777 ops/sec 1,896,415 ops/sec 0.113 50.00% 50.00% -66.40%
    Redis RPS (pipeline=16, SET) 1,389,081 ops/sec 11,539,523 ops/sec 0.12 20.00% 20.00% -34.60%
    PassMark Memory Mark (composite) 843 2,411 0.35 10.00% 10.00% -9.97%
    Memory bandwidth (read, 16 MB ~ L3) 48,709 MB/sec 107,368 MB/sec 0.454 10.00% 10.00% -7.59%
    PassMark single-thread CPU 1,110 Mops/s 2,363 Mops/s 0.47 10.00% 10.00% -7.27%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 945

    Geekbench Multi-Core

    Score: 1,731

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		1345
    Compression
    		8886
    Encryption
    		267
    Extended Instructions
    		1235
    Floating Point Maths
    		5888
    Integer Maths
    		7843
    Physics
    		355
    Prime Numbers
    		17
    Single Threaded
    		1110
    String Sorting
    		5626

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		843
    Database Operations
    		1291
    Memory Latency
    		72
    Memory Read Cached
    		9480
    Memory Read Uncached
    		9196
    Memory Write
    		12507

    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
    im4gn.xlarge 416 GiB0
    im4gn.2xlarge 832 GiB0
    im4gn.4xlarge 1664 GiB0
    im4gn.8xlarge 32128 GiB0
    im4gn.16xlarge 64256 GiB0

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    im4gn.large FAQs