c8gd.24xlarge by Amazon Web Services

c8gd.24xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen8 24xlarge server offered by Amazon Web Services with 96 vCPUs, 192 GiB of memory and 5.7 TB of storage. The pricing starts at 0.534 USD per hour.
96 vCPU
192 GiB Memory
5.7 TB Storage
Spare SCore
163,584
(All-cores)
1,706
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c8gd.24xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen8 24xlarge
Family
c8gd
Hw Virt
Status
active
Observed At
2026-09-14T18:40:54.926492

Availability

REGION / IDSPOTONDEMAND
(TH) / ap-southeast-7
1.653267 USD/h 4.6637 USD/h
(MY) / ap-southeast-5
1.594367 USD/h 4.6637 USD/h
Ohio (US) / us-east-2
0.7357 USD/h 4.703 USD/h
Northern Virgina (US) / us-east-1
1.45762 USD/h 4.703 USD/h
Oregon (US) / us-west-2
1.3639 USD/h 4.703 USD/h
Quebec (CA) / ca-central-1
0.990967 USD/h 5.1926 USD/h
Aragón (ES) / eu-south-2
0.8569 USD/h 5.3395 USD/h
Dublin (IE) / eu-west-1
2.429667 USD/h 5.3395 USD/h
Frankfurt (DE) / eu-central-1
1.322133 USD/h 5.4384 USD/h
Singapore (SG) / ap-southeast-1
1.3625 USD/h 5.4864 USD/h
London (GB) / eu-west-2
0.948567 USD/h 5.6333 USD/h
Tokyo (JP) / ap-northeast-1
1.075667 USD/h 5.977 USD/h
Sydney (AU) / ap-southeast-2
1.5128 USD/h 6.1728 USD/h
(NZ) / ap-southeast-6
2.423767 USD/h 6.4819 USD/h
Sao Paulo (BR) / sa-east-1
3.7319 USD/h 7.2989 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 Family
ARMv9
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
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
    5700 GB
    Storage Type
    nvme ssd
    Storages
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    NETWORK
    Network Speed Baseline
    40 Gbps
    Network Speed Max
    40 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

    A high-density ARM64 compute instance featuring ninety-six dedicated cores, fast local NVMe storage, and exceptional multi-threaded performance.

    Compute OptimizedStorage & Database

    Amazon Web Services c8gd.24xlarge is an ARM64 compute-optimized server powered by 96 dedicated physical cores of the AWS Graviton ARMv9 Neoverse-V2 processor running at 2.8 GHz. It features 192.0 GB of memory, translating to a 2.0 GB per core ratio, and is built on the AWS Nitro hypervisor. The instance includes 5700 GB of local NVMe SSD storage and a baseline network bandwidth of 40 Gbps. Performance benchmarks highlight exceptional multi-core capabilities. The server achieves top-tier status in multi-core CPU performance, multi-threaded bzip3 decompression, and software compilation. Memory bandwidth is highly efficient, scoring in the top tier for both cached small-block reads and uncached large-block read/write operations. Single-core performance sits in the average range, indicating that workloads benefit most from parallel execution across its 96 physical cores.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    6.41Score
    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) 21,864,156 ops/sec 1,917,397 ops/sec 11.4 50.00% 50.00% +238.00%
    Redis RPS (pipeline=16, SET) 119,623,447 ops/sec 11,681,410 ops/sec 10.2 20.00% 20.00% +59.10%
    PassMark Memory Mark (composite) 3,374 2,418 1.4 10.00% 10.00% +3.42%
    Memory bandwidth (read, 16 MB ~ L3) 546,878 MB/sec 108,140 MB/sec 5.06 10.00% 10.00% +17.60%
    PassMark single-thread CPU 1,942 Mops/s 2,365 Mops/s 0.821 10.00% 10.00% -1.95%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,895

    Geekbench Multi-Core

    Score: 26,012

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 56468
    Compression
    		 628443
    Encryption
    		 18138
    Extended Instructions
    		 80544
    Floating Point Maths
    		 581218
    Integer Maths
    		 500395
    Physics
    		 17995
    Prime Numbers
    		 787
    Single Threaded
    		 1942
    String Sorting
    		 413422

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3374
    Database Operations
    		 47040
    Memory Latency
    		 47
    Memory Read Cached
    		 21144
    Memory Read Uncached
    		 19882
    Memory Write
    		 21288

    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
    c8gd.medium 12 GiB0
    c8gd.large 24 GiB0
    c8gd.xlarge 48 GiB0
    c8gd.2xlarge 816 GiB0
    c8gd.4xlarge 1632 GiB0
    c8gd.8xlarge 3264 GiB0
    c8gd.12xlarge 4896 GiB0

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    c8gd.24xlarge FAQs