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i8g.48xlarge by Amazon Web Services

i8g.48xlarge is a Storage optimized [AWS Graviton processors] Gen8 48xlarge server offered by Amazon Web Services with 192 vCPUs, 1536 GiB of memory and 45 TB of storage. The pricing starts at 1.6474 USD per hour.
192 vCPU
1536 GiB Memory
45 TB Storage
Spare SCore
314892
(All-cores)
1644
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
i8g.48xlarge
Description
Storage optimized [AWS Graviton processors] Gen8 48xlarge
Family
i8g
Hw Virt
Status
active
Observed At
2026-07-26T23:54:36.773613

Availability

REGION / IDSPOTONDEMAND
Northern Virgina (US) / us-east-1
4.079025 USD/h 16.4736 USD/h
Ohio (US) / us-east-2
1.6474 USD/h 16.4736 USD/h
Oregon (US) / us-west-2
4.61315 USD/h 16.4736 USD/h
Stockholm (SE) / eu-north-1
3.862767 USD/h 17.2224 USD/h
Quebec (CA) / ca-central-1
3.0645 USD/h 18.1536 USD/h
Aragón (ES) / eu-south-2
3.9777 USD/h 18.1536 USD/h
Dublin (IE) / eu-west-1
7.777333 USD/h 18.1536 USD/h
Mumbai (IN) / ap-south-1
1.985133 USD/h 18.6912 USD/h
London (GB) / eu-west-2
8.2331 USD/h 19.1136 USD/h
Osaka (JP) / ap-northeast-3
5.5434 USD/h 19.3248 USD/h
Seoul (KR) / ap-northeast-2
5.7085 USD/h 19.3248 USD/h
Tokyo (JP) / ap-northeast-1
3.872267 USD/h 19.3536 USD/h
Sydney (AU) / ap-southeast-2
4.511567 USD/h 19.7472 USD/h
Singapore (SG) / ap-southeast-1
6.895067 USD/h 19.7472 USD/h
Sao Paulo (BR) / sa-east-1
2.6304 USD/h 26.304 USD/h

Processor

vCPUs
192
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
192
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
12 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
12 MiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
384 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
72 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
191.6
Scalability
99.79

System Resources and Accelerators

MEMORY
Memory Amount
2 TB
Memory Amount Actual
1 TB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    45000 GB
    Storage Type
    nvme ssd
    Storages
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    • 3750 GB nvme ssd
    NETWORK
    Network Speed Baseline
    100 Gbps
    Network Speed Max
    100 Gbps
    Network Storage Speed Baseline
    60 Gbps
    Network Storage Speed Max
    60 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    A high-density ARMv9 storage-optimized server featuring 192 dedicated cores, 1.5 TB of RAM, and 45 TB of local NVMe SSD storage.

    Storage & DatabaseMemory Optimized

    Amazon Web Services i8g.48xlarge is a storage-optimized server powered by 192 dedicated AWS Graviton ARMv9 Neoverse-V2 physical cores running at 2.8 GHz. It features 1536.0 GB of RAM, 45,000 GB of local NVMe SSD storage, and 100 Gbps of baseline network bandwidth. Operating on the Nitro hypervisor, this instance delivers top-tier performance in multi-core processing, memory bandwidth, and database operations, as evidenced by its high scores in Redis SET operations and Clang software compilation. However, single-core performance and LLM inference speeds remain average to weak. This server provides excellent qualitative cost efficiency for high-density storage and memory-intensive deployments. It is best suited for large-scale databases, high-throughput caching layers, and data-intensive enterprise workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    9.56Score
    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) 35,703,867 ops/sec 1,896,415 ops/sec 18.8 50.00% 50.00% +334.00%
    Redis RPS (pipeline=16, SET) 192,947,654 ops/sec 11,539,523 ops/sec 16.7 20.00% 20.00% +75.60%
    PassMark Memory Mark (composite) 3,210 2,411 1.33 10.00% 10.00% +2.89%
    Memory bandwidth (read, 16 MB ~ L3) 988,400 MB/sec 107,368 MB/sec 9.21 10.00% 10.00% +24.90%
    PassMark single-thread CPU 1,867 Mops/s 2,363 Mops/s 0.79 10.00% 10.00% -2.33%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,658

    Geekbench Multi-Core

    Score: 20,274

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    77452
    Compression
    1224603
    Encryption
    34688
    Extended Instructions
    140202
    Floating Point Maths
    1117633
    Integer Maths
    963388
    Physics
    36821
    Prime Numbers
    1628
    Single Threaded
    1867
    String Sorting
    821400

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    3210
    Database Operations
    47012
    Memory Latency
    47
    Memory Read Cached
    18004
    Memory Read Uncached
    18641
    Memory Write
    20511

    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.large 216 GiB0
    i8g.xlarge 432 GiB0
    i8g.2xlarge 864 GiB0
    i8g.4xlarge 16128 GiB0
    i8g.8xlarge 32256 GiB0
    i8g.12xlarge 48384 GiB0
    i8g.16xlarge 64512 GiB0

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    i8g.48xlarge FAQs