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i8g.xlarge by Amazon Web Services

i8g.xlarge is a Storage optimized [AWS Graviton processors] Gen8 xlarge server offered by Amazon Web Services with 4 vCPUs, 32 GiB of memory and 937 GB of storage. The pricing starts at 0.054 USD per hour.
4 vCPU
32 GiB Memory
937 GB Storage
Spare SCore
6818
(All-cores)
1707
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
i8g.xlarge
Description
Storage optimized [AWS Graviton processors] Gen8 xlarge
Family
i8g
Hw Virt
Status
active
Observed At
2026-08-09T23:29:59.787833

Availability

REGION / IDSPOTONDEMAND
Oregon (US) / us-west-2
0.08855 USD/h 0.3432 USD/h
Ohio (US) / us-east-2
0.093067 USD/h 0.3432 USD/h
Northern Virgina (US) / us-east-1
0.1084 USD/h 0.3432 USD/h
Stockholm (SE) / eu-north-1
0.086533 USD/h 0.3588 USD/h
Aragón (ES) / eu-south-2
0.058267 USD/h 0.3782 USD/h
Quebec (CA) / ca-central-1
0.121 USD/h 0.3782 USD/h
Dublin (IE) / eu-west-1
0.162833 USD/h 0.3782 USD/h
Mumbai (IN) / ap-south-1
0.078333 USD/h 0.3894 USD/h
London (GB) / eu-west-2
0.151433 USD/h 0.3982 USD/h
Paris (FR) / eu-west-3
- 0.3982 USD/h
Seoul (KR) / ap-northeast-2
0.173133 USD/h 0.4026 USD/h
Osaka (JP) / ap-northeast-3
0.1189 USD/h 0.4026 USD/h
Tokyo (JP) / ap-northeast-1
0.1298 USD/h 0.4032 USD/h
Frankfurt (DE) / eu-central-1
0.152033 USD/h 0.4092 USD/h
Singapore (SG) / ap-southeast-1
0.128567 USD/h 0.4114 USD/h
Sydney (AU) / ap-southeast-2
0.126467 USD/h 0.4114 USD/h
Jakarta (ID) / ap-southeast-3
- 0.4114 USD/h
Sao Paulo (BR) / sa-east-1
0.080567 USD/h 0.548 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 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, ssbs, 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
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
    2.344 Gbps
    Network Speed Max
    10 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

    A storage-optimized ARM64 platform combining dedicated processor cores with high-speed NVMe storage and top-tier memory performance for database workloads.

    Storage & DatabaseMemory OptimizedGeneral Purpose

    Amazon Web Services i8g.xlarge is an arm64 storage-optimized server instance powered by a 4-core AWS Neoverse-V2 processor running at 2.8 GHz. It features 32.0 GB of RAM, a bundled 937 GB NVMe SSD, and a baseline network speed of 2 Gbps. Benchmark data shows top-tier memory performance, with the PassMark memory score ranking in the top 10%, and strong single-threaded bzip3 decompression in the top 25%. However, CPU-intensive tasks present tradeoffs, with PassMark CPU and encryption scores falling into the bottom 25% and 10% respectively. The instance delivers average performance for Redis SET operations and static web serving. Given its high-speed local storage and strong memory subsystem, the i8g.xlarge is highly suited for database operations, caching layers, and storage-intensive workloads that do not require heavy cryptographic or mathematical computation.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.626Score
    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) 980,091 ops/sec 1,910,660 ops/sec 0.513 50.00% 50.00% -28.40%
    Redis RPS (pipeline=16, SET) 5,908,732 ops/sec 11,608,287 ops/sec 0.509 20.00% 20.00% -12.60%
    PassMark Memory Mark (composite) 2,985 2,416 1.24 10.00% 10.00% +2.17%
    Memory bandwidth (read, 16 MB ~ L3) 106,929 MB/sec 107,896 MB/sec 0.991 10.00% 10.00% -0.09%
    PassMark single-thread CPU 1,944 Mops/s 2,364 Mops/s 0.822 10.00% 10.00% -1.94%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,863

    Geekbench Multi-Core

    Score: 5,926

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 3948
    Compression
    		 26514
    Encryption
    		 751
    Extended Instructions
    		 3684
    Floating Point Maths
    		 24220
    Integer Maths
    		 20860
    Physics
    		 1369
    Prime Numbers
    		 70
    Single Threaded
    		 1944
    String Sorting
    		 18493

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2985
    Database Operations
    		 6046
    Memory Latency
    		 47
    Memory Read Cached
    		 19836
    Memory Read Uncached
    		 20271
    Memory Write
    		 21302

    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
    i8g.large 216 GiB0
    i8g.2xlarge 864 GiB0
    i8g.4xlarge 16128 GiB0
    i8g.8xlarge 32256 GiB0
    i8g.12xlarge 48384 GiB0
    i8g.16xlarge 64512 GiB0
    i8g.24xlarge 96768 GiB0

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    i8g.xlarge FAQs