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i8ge.3xlarge by Amazon Web Services

i8ge.3xlarge is a Storage optimized [AWS Graviton processors] [Extra storage or memory] Gen8 3xlarge server offered by Amazon Web Services with 12 vCPUs, 96 GiB of memory and 7.5 TB of storage. The pricing starts at 0.1664 USD per hour.
12 vCPU
96 GiB Memory
7.5 TB Storage
Spare SCore
20471
(All-cores)
1707
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
i8ge.3xlarge
Description
Storage optimized [AWS Graviton processors] [Extra storage or memory] Gen8 3xlarge
Family
i8ge
Hw Virt
Status
active
Observed At
2026-07-26T08:50:45.238858

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.3062 USD/h 1.4238 USD/h
Oregon (US) / us-west-2
0.399625 USD/h 1.4238 USD/h
Northern Virgina (US) / us-east-1
0.3998 USD/h 1.4238 USD/h
Stockholm (SE) / eu-north-1
0.191067 USD/h 1.4931 USD/h
(TH) / ap-southeast-7
0.449 USD/h 1.5372 USD/h
(MY) / ap-southeast-5
0.504967 USD/h 1.5372 USD/h
Dublin (IE) / eu-west-1
0.587967 USD/h 1.575 USD/h
Quebec (CA) / ca-central-1
0.5984 USD/h 1.575 USD/h
Mumbai (IN) / ap-south-1
0.2164 USD/h 1.6191 USD/h
Paris (FR) / eu-west-3
0.2457 USD/h 1.6569 USD/h
London (GB) / eu-west-2
0.625633 USD/h 1.6569 USD/h
Seoul (KR) / ap-northeast-2
0.376833 USD/h 1.6758 USD/h
Tokyo (JP) / ap-northeast-1
0.471867 USD/h 1.6758 USD/h
Frankfurt (DE) / eu-central-1
0.3947 USD/h 1.701 USD/h
Sydney (AU) / ap-southeast-2
0.367633 USD/h 1.7073 USD/h
Singapore (SG) / ap-southeast-1
0.489967 USD/h 1.7073 USD/h
Hong Kong (HK) / ap-east-1
0.248967 USD/h 1.8806 USD/h

Processor

vCPUs
12
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
12
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
768 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
768 KiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
24 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
12
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
95 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    7500 GB
    Storage Type
    nvme ssd
    Storages
    • 7500 GB nvme ssd
    NETWORK
    Network Speed Baseline
    12.5 Gbps
    Network Speed Max
    25 Gbps
    Network Storage Speed Baseline
    3.75 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 a massive local NVMe SSD with top-tier memory bandwidth for data-intensive workloads.

    Storage & DatabaseMemory Optimized

    Amazon Web Services i8ge.3xlarge is a storage-optimized instance featuring 12 dedicated physical cores powered by an ARM64 AWS Graviton Neoverse-V2 processor running at 2.8 GHz. It is equipped with 96.0 GB of system memory and a bundled 7500 GB local NVMe SSD. Operating on the Nitro hypervisor, the instance delivers a baseline network bandwidth of 12 Gbps. Benchmark evaluations highlight top-tier memory performance, with Passmark memory scores in the top 10% and strong large-block memory bandwidth. Single-core processing and text manipulation also rank in the top 25%, though cryptographic operations and LLM inference show weaker relative performance. This hardware configuration provides a highly efficient balance of dense local storage and memory, making it an optimal fit for transactional databases, caching systems, and indexing workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.25Score
    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) 2,273,090 ops/sec 1,896,415 ops/sec 1.2 50.00% 50.00% +9.54%
    Redis RPS (pipeline=16, SET) 14,112,600 ops/sec 11,539,523 ops/sec 1.22 20.00% 20.00% +4.06%
    PassMark Memory Mark (composite) 3,255 2,411 1.35 10.00% 10.00% +3.05%
    Memory bandwidth (read, 16 MB ~ L3) 235,830 MB/sec 107,368 MB/sec 2.2 10.00% 10.00% +8.20%
    PassMark single-thread CPU 1,945 Mops/s 2,363 Mops/s 0.823 10.00% 10.00% -1.93%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,889

    Geekbench Multi-Core

    Score: 12,945

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 11253
    Compression
    		 79784
    Encryption
    		 2271
    Extended Instructions
    		 11043
    Floating Point Maths
    		 72751
    Integer Maths
    		 62628
    Physics
    		 3743
    Prime Numbers
    		 207
    Single Threaded
    		 1945
    String Sorting
    		 55726

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3255
    Database Operations
    		 18185
    Memory Latency
    		 47
    Memory Read Cached
    		 20217
    Memory Read Uncached
    		 20046
    Memory Write
    		 21296

    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
    i8ge.large 216 GiB0
    i8ge.xlarge 432 GiB0
    i8ge.2xlarge 864 GiB0
    i8ge.6xlarge 24192 GiB0
    i8ge.12xlarge 48384 GiB0
    i8ge.18xlarge 72576 GiB0
    i8ge.24xlarge 96768 GiB0

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    i8ge.3xlarge FAQs