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i8g.24xlarge by Amazon Web Services

i8g.24xlarge is a Storage optimized [AWS Graviton processors] Gen8 24xlarge server offered by Amazon Web Services with 96 vCPUs, 768 GiB of memory and 22.5 TB of storage. The pricing starts at 0.8237 USD per hour.
96 vCPU
768 GiB Memory
22.5 TB Storage
Spare SCore
163579
(All-cores)
1706
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
i8g.24xlarge
Description
Storage optimized [AWS Graviton processors] Gen8 24xlarge
Family
i8g
Hw Virt
Status
active
Observed At
2026-07-30T14:54:09.610290

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
1.063967 USD/h 8.2368 USD/h
Oregon (US) / us-west-2
2.626525 USD/h 8.2368 USD/h
Northern Virgina (US) / us-east-1
3.042175 USD/h 8.2368 USD/h
Stockholm (SE) / eu-north-1
1.249233 USD/h 8.6112 USD/h
Aragón (ES) / eu-south-2
1.640233 USD/h 9.0768 USD/h
Quebec (CA) / ca-central-1
1.552533 USD/h 9.0768 USD/h
Dublin (IE) / eu-west-1
3.427467 USD/h 9.0768 USD/h
Mumbai (IN) / ap-south-1
1.0215 USD/h 9.3456 USD/h
London (GB) / eu-west-2
1.803 USD/h 9.5568 USD/h
Seoul (KR) / ap-northeast-2
2.631333 USD/h 9.6624 USD/h
Osaka (JP) / ap-northeast-3
2.837733 USD/h 9.6624 USD/h
Tokyo (JP) / ap-northeast-1
1.6359 USD/h 9.6768 USD/h
Frankfurt (DE) / eu-central-1
2.613267 USD/h 9.8208 USD/h
Sydney (AU) / ap-southeast-2
1.9722 USD/h 9.8736 USD/h
Singapore (SG) / ap-southeast-1
3.778 USD/h 9.8736 USD/h
Sao Paulo (BR) / sa-east-1
4.2886 USD/h 13.152 USD/h

Processor

vCPUs
96
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
96
CPU Speed
2.8 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Model
Neoverse-V2
CPU L1D Cache
64 KiB
CPU L1D Cache Total
6 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
6 MiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
192 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
95.9
Scalability
99.9

System Resources and Accelerators

MEMORY
Memory Amount
768 GiB
Memory Amount Actual
756 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    22500 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
    NETWORK
    Network Speed Baseline
    56.25 Gbps
    Network Speed Max
    56.25 Gbps
    Network Storage Speed Baseline
    30 Gbps
    Network Storage Speed Max
    30 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An ARM64 storage-optimized platform delivering ninety-six dedicated cores, massive local NVMe capacity, and top-tier memory bandwidth for database workloads.

    Storage & DatabaseMemory Optimized

    Amazon Web Services i8g.24xlarge is a storage-optimized instance featuring 96 dedicated physical cores on the ARM64 AWS Graviton Neoverse-V2 architecture running at 2.8 GHz. It is equipped with 768.0 GB of RAM, 22,500 GB of local NVMe SSD storage, and a baseline network bandwidth of 56 Gbps managed by the Nitro hypervisor. Benchmark data highlights top-tier multi-core CPU performance, exceptional memory bandwidth, and superior database operation speeds, including Redis SET operations and static web serving. While it lacks GPU acceleration and x86 instruction support, its high-density local storage and memory capacity offer excellent qualitative cost efficiency for data-intensive environments. This instance is highly suited for large-scale databases, caching layers, and high-throughput data processing workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    6.73Score
    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) 23,374,440 ops/sec 1,896,415 ops/sec 12.3 50.00% 50.00% +251.00%
    Redis RPS (pipeline=16, SET) 124,371,187 ops/sec 11,539,523 ops/sec 10.8 20.00% 20.00% +60.90%
    PassMark Memory Mark (composite) 3,347 2,411 1.39 10.00% 10.00% +3.35%
    Memory bandwidth (read, 16 MB ~ L3) 545,581 MB/sec 107,368 MB/sec 5.08 10.00% 10.00% +17.60%
    PassMark single-thread CPU 1,944 Mops/s 2,363 Mops/s 0.822 10.00% 10.00% -1.94%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,894

    Geekbench Multi-Core

    Score: 26,076

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 56754
    Compression
    		 638021
    Encryption
    		 18119
    Extended Instructions
    		 80465
    Floating Point Maths
    		 581269
    Integer Maths
    		 500408
    Physics
    		 19002
    Prime Numbers
    		 825
    Single Threaded
    		 1944
    String Sorting
    		 432672

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3347
    Database Operations
    		 47379
    Memory Latency
    		 48
    Memory Read Cached
    		 20985
    Memory Read Uncached
    		 20042
    Memory Write
    		 21289

    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.24xlarge FAQs