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 0.1493 USD per hour.
12 vCPU
96 GiB Memory
7.5 TB Storage
Spare SCore
20,471
(All-cores)
1,707
(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
2026-10-25T13:03:52.280850

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.2441 USD/h 1.4238 USD/h
Northern Virgina (US) / us-east-1
0.467367 USD/h 1.4238 USD/h
Oregon (US) / us-west-2
0.455375 USD/h 1.4238 USD/h
Stockholm (SE) / eu-north-1
0.1493 USD/h 1.4931 USD/h
(TH) / ap-southeast-7
0.4274 USD/h 1.5372 USD/h
(MY) / ap-southeast-5
0.4571 USD/h 1.5372 USD/h
Quebec (CA) / ca-central-1
0.392567 USD/h 1.575 USD/h
Dublin (IE) / eu-west-1
0.494467 USD/h 1.575 USD/h
Mumbai (IN) / ap-south-1
0.300033 USD/h 1.6191 USD/h
London (GB) / eu-west-2
0.3535 USD/h 1.6569 USD/h
Paris (FR) / eu-west-3
0.329433 USD/h 1.6569 USD/h
Seoul (KR) / ap-northeast-2
0.2336 USD/h 1.6758 USD/h
Tokyo (JP) / ap-northeast-1
0.4704 USD/h 1.6758 USD/h
Frankfurt (DE) / eu-central-1
0.3681 USD/h 1.701 USD/h
Sydney (AU) / ap-southeast-2
0.403467 USD/h 1.7073 USD/h
Singapore (SG) / ap-southeast-1
0.450267 USD/h 1.7073 USD/h
Hong Kong (HK) / ap-east-1
0.290033 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
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    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 featuring high-capacity local NVMe SSD storage and top-tier memory bandwidth for data-intensive workloads.

    Storage & DatabaseMemory Optimized

    Amazon Web Services i8ge.3xlarge is a storage-optimized instance featuring 12 dedicated ARM64 physical cores powered by the AWS Graviton Neoverse-V2 processor running at 2.8 GHz. It is equipped with 96.0 GB of system memory and a substantial 7500 GB local NVMe SSD, managed via the Nitro hypervisor. Benchmark data highlights top-tier memory performance, with strong large-block read and write memory bandwidth, though CPU encryption and certain LLM inference tasks show weaker relative performance. With a baseline network speed of 12 Gbps and a high memory-to-core ratio of 8.0 GB per core, this instance delivers a balanced profile for data-dense environments. The i8ge.3xlarge is highly suited for storage-intensive workloads, high-throughput databases, and caching applications requiring large local storage capacities and rapid memory access.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.2Score
    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 1,919,289 ops/sec 1.2 50.00% 50.00% +9.50%
    Redis RPS (pipeline=16, SET) 14,112,600 ops/sec 11,728,058 ops/sec 1.2 20.00% 20.00% +3.70%
    PassMark Memory Mark (composite) 3,255 2,416 1.4 10.00% 10.00% +3.40%
    Memory bandwidth (read, 16 MB ~ L3) 235,830 MB/sec 108,466 MB/sec 2.2 10.00% 10.00% +8.20%
    PassMark single-thread CPU 1,945 Mops/s 2,365 Mops/s 0.79 10.00% 10.00% -2.30%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,889

    Geekbench Multi-Core

    Score: 12,945

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 11,253
    Compression
    		 79,784
    Encryption
    		 2,271
    Extended Instructions
    		 11,043
    Floating Point Maths
    		 72,751
    Integer Maths
    		 62,628
    Physics
    		 3,743
    Prime Numbers
    		 207
    Single Threaded
    		 1,945
    String Sorting
    		 55,726

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3,255
    Database Operations
    		 18,185
    Memory Latency
    		 47
    Memory Read Cached
    		 20,217
    Memory Read Uncached
    		 20,046
    Memory Write
    		 21,296

    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.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