i8ge.xlarge by Amazon Web Services

i8ge.xlarge is a Storage optimized [AWS Graviton processors] [Extra storage or memory] Gen8 xlarge server offered by Amazon Web Services with 4 vCPUs, 32 GiB of memory and 2.5 TB of storage. The pricing starts at 0.0498 USD per hour.
4 vCPU
32 GiB Memory
2.5 TB Storage
Spare SCore
6,815
(All-cores)
1,706
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
i8ge.xlarge
Description
Storage optimized [AWS Graviton processors] [Extra storage or memory] Gen8 xlarge
Family
i8ge
Hw Virt
Status
active
Observed At
2026-10-14T21:28:13.275387

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.118933 USD/h 0.4746 USD/h
Oregon (US) / us-west-2
0.1324 USD/h 0.4746 USD/h
Northern Virgina (US) / us-east-1
0.122733 USD/h 0.4746 USD/h
Stockholm (SE) / eu-north-1
0.0498 USD/h 0.4977 USD/h
(MY) / ap-southeast-5
0.1418 USD/h 0.5124 USD/h
(TH) / ap-southeast-7
0.146033 USD/h 0.5124 USD/h
Quebec (CA) / ca-central-1
0.114033 USD/h 0.525 USD/h
Dublin (IE) / eu-west-1
0.143667 USD/h 0.525 USD/h
Mumbai (IN) / ap-south-1
0.0862 USD/h 0.5397 USD/h
Paris (FR) / eu-west-3
0.1033 USD/h 0.5523 USD/h
London (GB) / eu-west-2
0.146267 USD/h 0.5523 USD/h
Seoul (KR) / ap-northeast-2
0.0727 USD/h 0.5586 USD/h
Tokyo (JP) / ap-northeast-1
0.1527 USD/h 0.5586 USD/h
Frankfurt (DE) / eu-central-1
0.1386 USD/h 0.567 USD/h
Singapore (SG) / ap-southeast-1
0.126467 USD/h 0.5691 USD/h
Sydney (AU) / ap-southeast-2
0.137933 USD/h 0.5691 USD/h
Hong Kong (HK) / ap-east-1
0.084967 USD/h 0.6269 USD/h

Processor

vCPUs
4
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
4
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
256 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
8 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, sb, paca, pacg, dcpodp, sve2, sveaes, svepmull, svebitperm, svesha3, flagm2, frint, svei8mm, svebf16, i8mm, bf16, dgh, rng, bti
Ecpus
4
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    2500 GB
    Storage Type
    nvme ssd
    Storages
    • 2500 GB nvme ssd
    NETWORK
    Network Speed Baseline
    4.2 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 combining dedicated Graviton cores with high-capacity local NVMe SSD storage and exceptional memory bandwidth.

    Storage & DatabaseMemory OptimizedGeneral Purpose

    Amazon Web Services i8ge.xlarge is a storage-optimized instance featuring an ARM64-based AWS Graviton Neoverse-V2 processor with 4 dedicated physical cores running at 2.8 GHz. It is equipped with 32.0 GB of RAM and a substantial 2500 GB local NVMe SSD, managed under the Nitro hypervisor with a 4 Gbps baseline network speed. Performance benchmarks highlight a top-tier memory subsystem, with Passmark memory scores in the top 10%, though CPU-bound encryption and extended instruction tests fall into the lower percentiles. This hardware profile delivers excellent qualitative cost efficiency for storage-heavy applications by bundling high-capacity local NVMe storage with energy-efficient ARM cores. The instance is highly suited for database hosting, caching engines like Redis, and general-purpose workloads requiring significant local storage and memory density.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.53Score
    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) 757,550 ops/sec 1,917,050 ops/sec 0.4 50.00% 50.00% -37.00%
    Redis RPS (pipeline=16, SET) 5,019,481 ops/sec 11,661,818 ops/sec 0.42 20.00% 20.00% -16.00%
    PassMark Memory Mark (composite) 2,999 2,417 1.2 10.00% 10.00% +1.80%
    Memory bandwidth (read, 16 MB ~ L3) 118,310 MB/sec 108,361 MB/sec 1.1 10.00% 10.00% +0.96%
    PassMark single-thread CPU 1,943 Mops/s 2,365 Mops/s 0.79 10.00% 10.00% -2.30%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,863

    Geekbench Multi-Core

    Score: 5,941

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 3949
    Compression
    		 26468
    Encryption
    		 753
    Extended Instructions
    		 3675
    Floating Point Maths
    		 24212
    Integer Maths
    		 20843
    Physics
    		 1370
    Prime Numbers
    		 70
    Single Threaded
    		 1943
    String Sorting
    		 18520

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2999
    Database Operations
    		 6069
    Memory Latency
    		 48
    Memory Read Cached
    		 20687
    Memory Read Uncached
    		 20140
    Memory Write
    		 21282

    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
    i8ge.large 216 GiB0
    i8ge.2xlarge 864 GiB0
    i8ge.3xlarge 1296 GiB0
    i8ge.6xlarge 24192 GiB0
    i8ge.12xlarge 48384 GiB0
    i8ge.18xlarge 72576 GiB0
    i8ge.24xlarge 96768 GiB0

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    i8ge.xlarge FAQs