c8gd.4xlarge by Amazon Web Services

c8gd.4xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen8 4xlarge server offered by Amazon Web Services with 16 vCPUs, 32 GiB of memory and 950 GB of storage. The pricing starts at 0.087 USD per hour.
16 vCPU
32 GiB Memory
950 GB Storage
Spare SCore
27,304
(All-cores)
1,707
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c8gd.4xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen8 4xlarge
Family
c8gd
Hw Virt
Status
active
Observed At
2026-11-05T08:02:26.619438

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.16375 USD/h 0.4976 USD/h
(MY) / ap-southeast-5
0.230933 USD/h 0.7773 USD/h
(TH) / ap-southeast-7
0.276433 USD/h 0.7773 USD/h
Ohio (US) / us-east-2
0.225367 USD/h 0.7838 USD/h
Oregon (US) / us-west-2
0.2914 USD/h 0.7838 USD/h
Northern Virgina (US) / us-east-1
0.288 USD/h 0.7838 USD/h
Stockholm (SE) / eu-north-1
0.1175 USD/h 0.8491 USD/h
Quebec (CA) / ca-central-1
0.2462 USD/h 0.8654 USD/h
Aragón (ES) / eu-south-2
0.089 USD/h 0.8899 USD/h
Dublin (IE) / eu-west-1
0.3733 USD/h 0.8899 USD/h
Seoul (KR) / ap-northeast-2
0.2993 USD/h 0.8982 USD/h
Frankfurt (DE) / eu-central-1
0.340333 USD/h 0.9064 USD/h
Singapore (SG) / ap-southeast-1
0.33955 USD/h 0.9144 USD/h
London (GB) / eu-west-2
0.344533 USD/h 0.9389 USD/h
Tokyo (JP) / ap-northeast-1
0.395833 USD/h 0.9962 USD/h
Sydney (AU) / ap-southeast-2
0.327833 USD/h 1.0288 USD/h
(NZ) / ap-southeast-6
0.3168 USD/h 1.0803 USD/h
Sao Paulo (BR) / sa-east-1
0.289733 USD/h 1.2165 USD/h

Processor

vCPUs
16
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
16
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
1 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
32 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
16
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    950 GB
    Storage Type
    nvme ssd
    Storages
    • 950 GB nvme ssd
    NETWORK
    Network Speed Baseline
    7.5 Gbps
    Network Speed Max
    15 Gbps
    Network Storage Speed Baseline
    5 Gbps
    Network Storage Speed Max
    10 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An ARM-based 16-vCPU compute instance featuring 32 GB RAM and 950 GB high-speed local NVMe storage for database and data-processing tasks.

    Compute OptimizedStorage & Database

    Amazon Web Services c8gd.4xlarge is a compute-optimized server instance powered by a 16-core 64-bit ARMv9 AWS Graviton Neoverse-V2 processor running at 2.8 GHz on the Nitro hypervisor. It provides 16 dedicated vCPUs with 1:1 physical core mapping, 32.0 GB of memory (2.0 GB per core), and a bundled 950 GB local NVMe SSD drive alongside 8 Gbps network bandwidth. Memory performance is a primary benchmark highlight, showing top-tier bandwidth and strong multi-threaded decompression efficiency. While general CPU scores fall in the middle tier and LLM inference is limited without discrete GPU acceleration, database operations perform in the upper quartile. The instance delivers solid cost efficiency for compute-focused workloads that benefit from direct NVMe storage, such as database servers, CI/CD compilation pipelines, web serving, and ETL data processing.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.7Score
    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) 3,556,988 ops/sec 1,938,397 ops/sec 1.9 50.00% 50.00% +38.00%
    Redis RPS (pipeline=16, SET) 22,020,406 ops/sec 11,810,473 ops/sec 1.8 20.00% 20.00% +12.00%
    PassMark Memory Mark (composite) 3,139 2,410 1.3 10.00% 10.00% +2.70%
    Memory bandwidth (read, 16 MB ~ L3) 333,230 MB/sec 108,490 MB/sec 3 10.00% 10.00% +12.00%
    PassMark single-thread CPU 1,942 Mops/s 2,365 Mops/s 0.79 10.00% 10.00% -2.30%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,891

    Geekbench Multi-Core

    Score: 15,891

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 14,573
    Compression
    		 106,329
    Encryption
    		 3,012
    Extended Instructions
    		 14,740
    Floating Point Maths
    		 97,027
    Integer Maths
    		 83,504
    Physics
    		 4,890
    Prime Numbers
    		 265
    Single Threaded
    		 1,942
    String Sorting
    		 73,880

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3,139
    Database Operations
    		 23,982
    Memory Latency
    		 47
    Memory Read Cached
    		 19,666
    Memory Read Uncached
    		 19,895
    Memory Write
    		 21,287

    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

    INSTANCEvCPUsMEMORYAccelerators
    c8gd.medium 12 GiB0
    c8gd.large 24 GiB0
    c8gd.xlarge 48 GiB0
    c8gd.2xlarge 816 GiB0
    c8gd.8xlarge 3264 GiB0
    c8gd.12xlarge 4896 GiB0
    c8gd.16xlarge 64128 GiB0

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    c8gd.4xlarge FAQs