i8ge.6xlarge by Amazon Web Services

i8ge.6xlarge is a Storage optimized [AWS Graviton processors] [Extra storage or memory] Gen8 6xlarge server offered by Amazon Web Services with 24 vCPUs, 192 GiB of memory and 15 TB of storage. The pricing starts at 0.2986 USD per hour.
24 vCPU
192 GiB Memory
15 TB Storage
Spare SCore
40,946
(All-cores)
1,707
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
i8ge.6xlarge
Description
Storage optimized [AWS Graviton processors] [Extra storage or memory] Gen8 6xlarge
Family
i8ge
Hw Virt
Status
active
Observed At
2026-09-19T16:19:06.375274

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.428933 USD/h 2.8476 USD/h
Oregon (US) / us-west-2
0.7525 USD/h 2.8476 USD/h
Northern Virgina (US) / us-east-1
0.772333 USD/h 2.8476 USD/h
Stockholm (SE) / eu-north-1
0.321567 USD/h 2.9862 USD/h
(TH) / ap-southeast-7
0.8575 USD/h 3.0744 USD/h
(MY) / ap-southeast-5
0.953467 USD/h 3.0744 USD/h
Quebec (CA) / ca-central-1
1.002267 USD/h 3.15 USD/h
Dublin (IE) / eu-west-1
1.070133 USD/h 3.15 USD/h
Mumbai (IN) / ap-south-1
0.406067 USD/h 3.2382 USD/h
London (GB) / eu-west-2
0.628867 USD/h 3.3138 USD/h
Paris (FR) / eu-west-3
0.5946 USD/h 3.3138 USD/h
Seoul (KR) / ap-northeast-2
0.536833 USD/h 3.3516 USD/h
Tokyo (JP) / ap-northeast-1
0.791367 USD/h 3.3516 USD/h
Frankfurt (DE) / eu-central-1
0.703967 USD/h 3.402 USD/h
Sydney (AU) / ap-southeast-2
0.668967 USD/h 3.4146 USD/h
Singapore (SG) / ap-southeast-1
0.8163 USD/h 3.4146 USD/h
Hong Kong (HK) / ap-east-1
0.6173 USD/h 3.7611 USD/h

Processor

vCPUs
24
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
24
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
2 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
2 MiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
48 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
24
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
192 GiB
Memory Amount Actual
189 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    15000 GB
    Storage Type
    nvme ssd
    Storages
    • 7500 GB nvme ssd
    • 7500 GB nvme ssd
    NETWORK
    Network Speed Baseline
    37.5 Gbps
    Network Speed Max
    37.5 Gbps
    Network Storage Speed Baseline
    7.5 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 platform featuring massive local NVMe capacity and top-tier database performance for data-intensive enterprise workloads.

    Storage & DatabaseMemory OptimizedGeneral Purpose

    Amazon Web Services i8ge.6xlarge is a storage-optimized server powered by a 24-core AWS Graviton ARMv9 Neoverse-V2 processor running at 2.8 GHz on the Nitro hypervisor. It features 192.0 GB of RAM and a substantial 15,000 GB local NVMe SSD storage array, complemented by a 38 Gbps baseline network bandwidth. Benchmark data shows top-tier performance in database operations and large-block memory bandwidth, alongside strong multi-threaded decompression and software compilation capabilities. Single-core processing and LLM inference speeds are average to poor, highlighting a tradeoff that favors high-throughput data access over raw compute-heavy AI tasks. This hardware profile is highly efficient for database hosting, caching layers, static web serving, and memory-intensive data processing.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.1Score
    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) 4,507,529 ops/sec 1,919,696 ops/sec 2.35 50.00% 50.00% +53.30%
    Redis RPS (pipeline=16, SET) 27,372,897 ops/sec 11,736,081 ops/sec 2.33 20.00% 20.00% +18.40%
    PassMark Memory Mark (composite) 3,291 2,418 1.36 10.00% 10.00% +3.12%
    Memory bandwidth (read, 16 MB ~ L3) 419,695 MB/sec 108,260 MB/sec 3.88 10.00% 10.00% +14.50%
    PassMark single-thread CPU 1,944 Mops/s 2,365 Mops/s 0.822 10.00% 10.00% -1.94%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,892

    Geekbench Multi-Core

    Score: 19,128

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 20758
    Compression
    		 159482
    Encryption
    		 4520
    Extended Instructions
    		 22118
    Floating Point Maths
    		 145482
    Integer Maths
    		 125221
    Physics
    		 7108
    Prime Numbers
    		 352
    Single Threaded
    		 1944
    String Sorting
    		 111266

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3291
    Database Operations
    		 35974
    Memory Latency
    		 47
    Memory Read Cached
    		 19481
    Memory Read Uncached
    		 20192
    Memory Write
    		 21293

    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.3xlarge 1296 GiB0
    i8ge.12xlarge 48384 GiB0
    i8ge.18xlarge 72576 GiB0
    i8ge.24xlarge 96768 GiB0

    Similar Servers

    INSTANCEVENDORvCPUsMEMORYGPUs

    i8ge.6xlarge FAQs