c6gd.4xlarge by Amazon Web Services

c6gd.4xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen6 4xlarge server offered by Amazon Web Services with 16 vCPUs, 32 GiB of memory and 950 GB of storage. The pricing starts at 0.0698 USD per hour.
16 vCPU
32 GiB Memory
950 GB Storage
Spare SCore
24,295
(All-cores)
1,520
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c6gd.4xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen6 4xlarge
Family
c6gd
Hw Virt
Status
active
Observed At
2026-10-26T14:19:35.636023

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.178767 USD/h 0.392 USD/h
Ohio (US) / us-east-2
0.1249 USD/h 0.6144 USD/h
Northern Virgina (US) / us-east-1
0.25098 USD/h 0.6144 USD/h
Oregon (US) / us-west-2
0.21985 USD/h 0.6144 USD/h
Stockholm (SE) / eu-north-1
0.121467 USD/h 0.6656 USD/h
Quebec (CA) / ca-central-1
0.300867 USD/h 0.6784 USD/h
Aragón (ES) / eu-south-2
0.07045 USD/h 0.6976 USD/h
Dublin (IE) / eu-west-1
0.3262 USD/h 0.6976 USD/h
Seoul (KR) / ap-northeast-2
0.236367 USD/h 0.704 USD/h
Frankfurt (DE) / eu-central-1
0.268333 USD/h 0.712 USD/h
Jakarta (ID) / ap-southeast-3
0.072 USD/h 0.72 USD/h
Singapore (SG) / ap-southeast-1
0.3093 USD/h 0.72 USD/h
London (GB) / eu-west-2
0.160133 USD/h 0.736 USD/h
Paris (FR) / eu-west-3
0.335067 USD/h 0.736 USD/h
California (US) / us-west-1
0.3417 USD/h 0.768 USD/h
Zurich (CH) / eu-central-2
0.158867 USD/h 0.7832 USD/h
Osaka (JP) / ap-northeast-3
0.169 USD/h 0.784 USD/h
Tokyo (JP) / ap-northeast-1
0.2566 USD/h 0.784 USD/h
Sydney (AU) / ap-southeast-2
0.284033 USD/h 0.808 USD/h
Cape Town (ZA) / af-south-1
0.2189 USD/h 0.832 USD/h
Sao Paulo (BR) / sa-east-1
0.1311 USD/h 0.952 USD/h

Processor

vCPUs
16
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.5 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv8
CPU Model
Neoverse-N1
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
1 MiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 MiB
CPU Flags
fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, lrcpc, dcpop, asimddp, ssbs
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
    5 Gbps
    Network Speed Max
    10 Gbps
    Network Storage Speed Baseline
    4.75 Gbps
    Network Storage Speed Max
    4.75 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An ARM64 compute-optimized platform featuring dedicated physical cores and high-speed local NVMe storage for efficient multi-threaded workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c6gd.4xlarge is a compute-optimized, ARM64-based instance powered by 16 dedicated AWS Graviton Neoverse-N1 physical cores running at 2.5 GHz. It is equipped with 32.0 GB of RAM and a bundled 950 GB local NVMe SSD instance store. Operating on the Nitro hypervisor, this instance delivers balanced multi-core performance, as shown by its stress-ng multi-core score of 24294.54 and average software compilation benchmarks. While single-core performance and cryptographic execution are relatively weak, its high-speed local storage and solid multi-threaded capabilities make it qualitatively cost-efficient for scale-out workloads. The c6gd.4xlarge is best suited for multi-threaded applications, database operations, static web serving, and software compilation tasks that benefit from dedicated ARM cores and low-latency local storage.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.97Score
    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) 1,951,335 ops/sec 1,919,289 ops/sec 1.1 50.00% 50.00% +4.90%
    Redis RPS (pipeline=16, SET) 11,415,816 ops/sec 11,728,058 ops/sec 0.92 20.00% 20.00% -1.70%
    PassMark Memory Mark (composite) 1,770 2,416 0.75 10.00% 10.00% -2.80%
    Memory bandwidth (read, 16 MB ~ L3) 167,678 MB/sec 108,466 MB/sec 1.5 10.00% 10.00% +4.10%
    PassMark single-thread CPU 1,111 Mops/s 2,365 Mops/s 0.46 10.00% 10.00% -7.50%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 934

    Geekbench Multi-Core

    Score: 8,497

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 9,808
    Compression
    		 75,909
    Encryption
    		 2,172
    Extended Instructions
    		 9,974
    Floating Point Maths
    		 47,976
    Integer Maths
    		 63,138
    Physics
    		 1,984
    Prime Numbers
    		 114
    Single Threaded
    		 1,111
    String Sorting
    		 45,792

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1,770
    Database Operations
    		 10,378
    Memory Latency
    		 72
    Memory Read Cached
    		 9,486
    Memory Read Uncached
    		 9,206
    Memory Write
    		 12,550

    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
    c6gd.medium 12 GiB0
    c6gd.large 24 GiB0
    c6gd.xlarge 48 GiB0
    c6gd.2xlarge 816 GiB0
    c6gd.8xlarge 3264 GiB0
    c6gd.12xlarge 4896 GiB0
    c6gd.16xlarge 64128 GiB0

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    c6gd.4xlarge FAQs