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 0.072 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
2026-09-11T07:17:57.208966

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.133 USD/h 0.392 USD/h
Northern Virgina (US) / us-east-1
0.22674 USD/h 0.6144 USD/h
Ohio (US) / us-east-2
0.221267 USD/h 0.6144 USD/h
Oregon (US) / us-west-2
0.2254 USD/h 0.6144 USD/h
Stockholm (SE) / eu-north-1
0.141067 USD/h 0.6656 USD/h
Quebec (CA) / ca-central-1
0.294533 USD/h 0.6784 USD/h
Aragón (ES) / eu-south-2
0.07985 USD/h 0.6976 USD/h
Dublin (IE) / eu-west-1
0.344733 USD/h 0.6976 USD/h
Seoul (KR) / ap-northeast-2
0.228267 USD/h 0.704 USD/h
Frankfurt (DE) / eu-central-1
0.302533 USD/h 0.712 USD/h
Jakarta (ID) / ap-southeast-3
0.096967 USD/h 0.72 USD/h
Singapore (SG) / ap-southeast-1
0.310033 USD/h 0.72 USD/h
London (GB) / eu-west-2
0.183867 USD/h 0.736 USD/h
Paris (FR) / eu-west-3
0.3402 USD/h 0.736 USD/h
California (US) / us-west-1
0.3279 USD/h 0.768 USD/h
Zurich (CH) / eu-central-2
0.2236 USD/h 0.7832 USD/h
Osaka (JP) / ap-northeast-3
0.220067 USD/h 0.784 USD/h
Tokyo (JP) / ap-northeast-1
0.313867 USD/h 0.784 USD/h
Sydney (AU) / ap-southeast-2
0.319633 USD/h 0.808 USD/h
Cape Town (ZA) / af-south-1
0.1609 USD/h 0.832 USD/h
Sao Paulo (BR) / sa-east-1
0.1668 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
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    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 ARM-based compute-optimized instance featuring dedicated physical cores and high-speed local NVMe storage for multi-threaded workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c6gd.4xlarge is an ARM64 compute-optimized instance featuring 16 dedicated physical cores powered by an AWS Graviton Neoverse-N1 processor running at 2.5 GHz. It is equipped with 32.0 GB of RAM, 950 GB of local NVMe SSD storage, and a baseline network bandwidth of 5 Gbps. Benchmarks show average multi-core performance, with a stress-ng multi-core score of 24,294.54, and strong cached memory bandwidth of 946.78 GB/sec. However, single-core performance is a key tradeoff, with Geekbench single-core scores falling in the bottom 10%. The inclusion of local NVMe storage provides qualitative cost efficiency for resource-dense, multi-threaded workloads. This instance is best suited for software compilation, static web serving, and database operations like Redis, while being less optimal for single-threaded or cryptographic tasks.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.943Score
    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 1,917,397 ops/sec 1.02 50.00% 50.00% +0.99%
    Redis RPS (pipeline=16, SET) 11,415,816 ops/sec 11,681,410 ops/sec 0.977 20.00% 20.00% -0.46%
    PassMark Memory Mark (composite) 1,770 2,418 0.732 10.00% 10.00% -3.07%
    Memory bandwidth (read, 16 MB ~ L3) 167,678 MB/sec 108,140 MB/sec 1.55 10.00% 10.00% +4.48%
    PassMark single-thread CPU 1,111 Mops/s 2,365 Mops/s 0.47 10.00% 10.00% -7.27%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 934

    Geekbench Multi-Core

    Score: 8,497

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 9808
    Compression
    		 75909
    Encryption
    		 2172
    Extended Instructions
    		 9974
    Floating Point Maths
    		 47976
    Integer Maths
    		 63138
    Physics
    		 1984
    Prime Numbers
    		 114
    Single Threaded
    		 1111
    String Sorting
    		 45792

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1770
    Database Operations
    		 10378
    Memory Latency
    		 72
    Memory Read Cached
    		 9486
    Memory Read Uncached
    		 9206
    Memory Write
    		 12550

    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
    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