i8g.large by Amazon Web Services

i8g.large is a Storage optimized [AWS Graviton processors] Gen8 large server offered by Amazon Web Services with 2 vCPUs, 16 GiB of memory and 468 GB of storage. The pricing starts at 0.0189 USD per hour.
2 vCPU
16 GiB Memory
468 GB Storage
Spare SCore
3,402
(All-cores)
1,707
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
i8g.large
Description
Storage optimized [AWS Graviton processors] Gen8 large
Family
i8g
Hw Virt
Status
active
Observed At
2026-10-06T04:41:05.251944

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.022633 USD/h 0.1716 USD/h
Oregon (US) / us-west-2
0.0358 USD/h 0.1716 USD/h
Northern Virgina (US) / us-east-1
0.054325 USD/h 0.1716 USD/h
Stockholm (SE) / eu-north-1
0.0258 USD/h 0.1794 USD/h
Aragón (ES) / eu-south-2
0.042233 USD/h 0.1891 USD/h
Dublin (IE) / eu-west-1
0.070067 USD/h 0.1891 USD/h
Quebec (CA) / ca-central-1
0.066467 USD/h 0.1891 USD/h
Mumbai (IN) / ap-south-1
0.0465 USD/h 0.1947 USD/h
London (GB) / eu-west-2
0.054833 USD/h 0.1991 USD/h
Paris (FR) / eu-west-3
- 0.1991 USD/h
Seoul (KR) / ap-northeast-2
0.028367 USD/h 0.2013 USD/h
Osaka (JP) / ap-northeast-3
0.058033 USD/h 0.2013 USD/h
Tokyo (JP) / ap-northeast-1
0.060633 USD/h 0.2016 USD/h
Frankfurt (DE) / eu-central-1
0.063233 USD/h 0.2046 USD/h
Sydney (AU) / ap-southeast-2
0.051967 USD/h 0.2057 USD/h
Singapore (SG) / ap-southeast-1
0.065 USD/h 0.2057 USD/h
Jakarta (ID) / ap-southeast-3
- 0.2057 USD/h
Sao Paulo (BR) / sa-east-1
0.0351 USD/h 0.274 USD/h

Processor

vCPUs
2
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
2
CPU Speed
2.8 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Model
Neoverse-V2
CPU L1D Cache
64 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
4 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
2
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    468 GB
    Storage Type
    nvme ssd
    Storages
    • 468 GB nvme ssd
    NETWORK
    Network Speed Baseline
    1.172 Gbps
    Network Speed Max
    10 Gbps
    Network Storage Speed Baseline
    0.625 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 bundling dedicated Graviton cores with high-speed local NVMe SSD storage for lightweight database workloads.

    Storage & DatabaseMemory Optimized

    Amazon Web Services i8g.large is an ARM64 storage-optimized instance powered by a 2.8 GHz AWS Graviton Neoverse-V2 processor. It features 2 dedicated physical cores, 16.0 GB of memory, and a bundled 468 GB local NVMe SSD. Operating on the Nitro hypervisor, it provides a baseline network bandwidth of 1 Gbps. Benchmark data shows average single-core CPU and text processing capabilities, alongside strong single-threaded bzip3 decompression. However, multi-core performance, memory write bandwidth, and LLM inference speeds are weak or poor. Qualitatively, the instance offers high storage density relative to its compute footprint, making it a cost-efficient choice for storage-centric workloads with low parallel processing demands. It is best suited for lightweight databases, local caching, and basic file operations, while compute-heavy tasks and software compilation are not recommended.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.36Score
    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) 496,870 ops/sec 1,916,704 ops/sec 0.26 50.00% 50.00% -49.00%
    Redis RPS (pipeline=16, SET) 2,953,045 ops/sec 11,642,227 ops/sec 0.25 20.00% 20.00% -24.00%
    PassMark Memory Mark (composite) 2,473 2,417 1 10.00% 10.00% 0.00%
    Memory bandwidth (read, 16 MB ~ L3) 64,937 MB/sec 108,361 MB/sec 0.59 10.00% 10.00% -5.10%
    PassMark single-thread CPU 1,943 Mops/s 2,365 Mops/s 0.79 10.00% 10.00% -2.30%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,813

    Geekbench Multi-Core

    Score: 3,235

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 1988
    Compression
    		 13066
    Encryption
    		 374
    Extended Instructions
    		 1837
    Floating Point Maths
    		 12082
    Integer Maths
    		 10399
    Physics
    		 684
    Prime Numbers
    		 35
    Single Threaded
    		 1943
    String Sorting
    		 9120

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2473
    Database Operations
    		 3025
    Memory Latency
    		 47
    Memory Read Cached
    		 21179
    Memory Read Uncached
    		 19843
    Memory Write
    		 21299

    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.xlarge 432 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.large FAQs