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i8ge.2xlarge by Amazon Web Services

i8ge.2xlarge is a Storage optimized [AWS Graviton processors] [Extra storage or memory] Gen8 2xlarge server offered by Amazon Web Services with 8 vCPUs, 64 GiB of memory and 5 TB of storage. The pricing starts at 0.1164 USD per hour.
8 vCPU
64 GiB Memory
5 TB Storage
Spare SCore
13645
(All-cores)
1707
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
i8ge.2xlarge
Description
Storage optimized [AWS Graviton processors] [Extra storage or memory] Gen8 2xlarge
Family
i8ge
Hw Virt
Status
active
Observed At
2026-07-26T03:33:26.731362

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.175833 USD/h 0.9492 USD/h
Oregon (US) / us-west-2
0.345075 USD/h 0.9492 USD/h
Northern Virgina (US) / us-east-1
0.279867 USD/h 0.9492 USD/h
Stockholm (SE) / eu-north-1
0.1474 USD/h 0.9954 USD/h
(TH) / ap-southeast-7
0.298733 USD/h 1.0248 USD/h
(MY) / ap-southeast-5
0.335667 USD/h 1.0248 USD/h
Dublin (IE) / eu-west-1
0.342733 USD/h 1.05 USD/h
Quebec (CA) / ca-central-1
0.398267 USD/h 1.05 USD/h
Mumbai (IN) / ap-south-1
0.131133 USD/h 1.0794 USD/h
Paris (FR) / eu-west-3
0.162433 USD/h 1.1046 USD/h
London (GB) / eu-west-2
0.424133 USD/h 1.1046 USD/h
Seoul (KR) / ap-northeast-2
0.283933 USD/h 1.1172 USD/h
Tokyo (JP) / ap-northeast-1
0.2627 USD/h 1.1172 USD/h
Frankfurt (DE) / eu-central-1
0.243567 USD/h 1.134 USD/h
Sydney (AU) / ap-southeast-2
0.207167 USD/h 1.1382 USD/h
Singapore (SG) / ap-southeast-1
0.259767 USD/h 1.1382 USD/h
Hong Kong (HK) / ap-east-1
0.170933 USD/h 1.2537 USD/h

Processor

vCPUs
8
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
8
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
512 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
16 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
8
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
63 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    5000 GB
    Storage Type
    nvme ssd
    Storages
    • 2500 GB nvme ssd
    • 2500 GB nvme ssd
    NETWORK
    Network Speed Baseline
    8.4 Gbps
    Network Speed Max
    25 Gbps
    Network Storage Speed Baseline
    2.5 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 instance featuring high-capacity local NVMe SSD storage and dense memory allocation for data-intensive workloads.

    Storage & DatabaseMemory Optimized

    Amazon Web Services i8ge.2xlarge is an ARM64 storage-optimized instance powered by an 8-core AWS Graviton Neoverse-V2 processor running at 2.8 GHz on the Nitro hypervisor. It features 64.0 GB of memory, yielding 8.0 GB per core, and includes a 5000 GB local NVMe SSD alongside an 8 Gbps baseline network bandwidth. Benchmark results highlight top-tier memory performance, with strong large-block read-only memory bandwidth of 189.45 GB/sec and strong text processing capabilities. While general compute and database operations perform in the average range, cryptographic encryption and certain LLM inference tasks show weaker relative performance. The high local storage capacity and memory-to-core ratio make this instance a cost-efficient choice for database hosting, caching layers, and data-intensive storage workloads without the overhead of external storage arrays.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.936Score
    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) 1,541,939 ops/sec 1,896,415 ops/sec 0.813 50.00% 50.00% -9.83%
    Redis RPS (pipeline=16, SET) 9,527,618 ops/sec 11,539,523 ops/sec 0.826 20.00% 20.00% -3.75%
    PassMark Memory Mark (composite) 3,223 2,411 1.34 10.00% 10.00% +2.97%
    Memory bandwidth (read, 16 MB ~ L3) 208,509 MB/sec 107,368 MB/sec 1.94 10.00% 10.00% +6.85%
    PassMark single-thread CPU 1,942 Mops/s 2,363 Mops/s 0.822 10.00% 10.00% -1.94%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,875

    Geekbench Multi-Core

    Score: 10,135

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 7682
    Compression
    		 53068
    Encryption
    		 1504
    Extended Instructions
    		 7366
    Floating Point Maths
    		 48486
    Integer Maths
    		 41739
    Physics
    		 2577
    Prime Numbers
    		 139
    Single Threaded
    		 1942
    String Sorting
    		 36985

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3223
    Database Operations
    		 12109
    Memory Latency
    		 48
    Memory Read Cached
    		 21201
    Memory Read Uncached
    		 20166
    Memory Write
    		 21294

    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.3xlarge 1296 GiB0
    i8ge.6xlarge 24192 GiB0
    i8ge.12xlarge 48384 GiB0
    i8ge.18xlarge 72576 GiB0
    i8ge.24xlarge 96768 GiB0

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    i8ge.2xlarge FAQs