c6gd.xlarge by Amazon Web Services

c6gd.xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen6 xlarge server offered by Amazon Web Services with 4 vCPUs, 8 GiB of memory and 237 GB of storage. The pricing starts at 0.0174 USD per hour.
4 vCPU
8 GiB Memory
237 GB Storage
Spare SCore
6,062
(All-cores)
1,520
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c6gd.xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen6 xlarge
Family
c6gd
Hw Virt
Status
active
Observed At
2026-09-29T09:30:55.284470Z

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.051267 USD/h 0.098 USD/h
Ohio (US) / us-east-2
0.0437 USD/h 0.1536 USD/h
Northern Virgina (US) / us-east-1
0.06874 USD/h 0.1536 USD/h
Oregon (US) / us-west-2
0.0791 USD/h 0.1536 USD/h
Stockholm (SE) / eu-north-1
0.042267 USD/h 0.1664 USD/h
Quebec (CA) / ca-central-1
0.077833 USD/h 0.1696 USD/h
Aragón (ES) / eu-south-2
0.03185 USD/h 0.1744 USD/h
Dublin (IE) / eu-west-1
0.085567 USD/h 0.1744 USD/h
Seoul (KR) / ap-northeast-2
0.045333 USD/h 0.176 USD/h
Frankfurt (DE) / eu-central-1
0.093 USD/h 0.178 USD/h
Jakarta (ID) / ap-southeast-3
0.018 USD/h 0.18 USD/h
Singapore (SG) / ap-southeast-1
0.088067 USD/h 0.18 USD/h
Paris (FR) / eu-west-3
0.0844 USD/h 0.184 USD/h
London (GB) / eu-west-2
0.0847 USD/h 0.184 USD/h
California (US) / us-west-1
0.07005 USD/h 0.192 USD/h
Zurich (CH) / eu-central-2
0.033633 USD/h 0.1958 USD/h
Osaka (JP) / ap-northeast-3
0.060833 USD/h 0.196 USD/h
Tokyo (JP) / ap-northeast-1
0.086167 USD/h 0.196 USD/h
Sydney (AU) / ap-southeast-2
0.078833 USD/h 0.202 USD/h
Cape Town (ZA) / af-south-1
0.0635 USD/h 0.208 USD/h
Sao Paulo (BR) / sa-east-1
0.062667 USD/h 0.238 USD/h

Processor

vCPUs
4
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
4
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
256 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
4
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
8 GiB
Memory Amount Actual
8 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    237 GB
    Storage Type
    nvme ssd
    Storages
    • 237 GB nvme ssd
    NETWORK
    Network Speed Baseline
    1.25 Gbps
    Network Speed Max
    10 Gbps
    Network Storage Speed Baseline
    1.188 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 server featuring dedicated physical cores and integrated local NVMe SSD storage for database and web workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c6gd.xlarge is an ARM64 compute-optimized server utilizing the Nitro hypervisor and powered by a 2.5 GHz AWS Graviton Neoverse-N1 processor. It features 4 dedicated physical cores, 8.0 GB of memory, and a bundled 237 GB local NVMe SSD instance store. The server delivers a baseline network bandwidth of 1 Gbps. Performance benchmarks show average results for stress-ng CPU tests (1519.58 single-core, 6061.97 multi-core) and large-block memory bandwidth, but weak to poor results in Geekbench and Passmark CPU tests. Lacking advanced vector extensions, it relies on AES hardware cryptography. This server is configured for workloads requiring dedicated ARM64 processing and local NVMe storage, such as database operations and lightweight web serving, while exhibiting resource constraints for memory-heavy or complex text-processing tasks.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.316Score
    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) 488,219 ops/sec 1,919,696 ops/sec 0.254 50.00% 50.00% -49.60%
    Redis RPS (pipeline=16, SET) 2,908,370 ops/sec 11,736,081 ops/sec 0.248 20.00% 20.00% -24.30%
    PassMark Memory Mark (composite) 1,055 2,418 0.436 10.00% 10.00% -7.97%
    Memory bandwidth (read, 16 MB ~ L3) 81,227 MB/sec 108,260 MB/sec 0.75 10.00% 10.00% -2.84%
    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: 932

    Geekbench Multi-Core

    Score: 3,150

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 2694
    Compression
    		 18515
    Encryption
    		 541
    Extended Instructions
    		 2487
    Floating Point Maths
    		 11959
    Integer Maths
    		 15751
    Physics
    		 651
    Prime Numbers
    		 34
    Single Threaded
    		 1111
    String Sorting
    		 11402

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1055
    Database Operations
    		 2608
    Memory Latency
    		 72
    Memory Read Cached
    		 9486
    Memory Read Uncached
    		 9220
    Memory Write
    		 12556

    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.2xlarge 816 GiB0
    c6gd.4xlarge 1632 GiB0
    c6gd.8xlarge 3264 GiB0
    c6gd.12xlarge 4896 GiB0
    c6gd.16xlarge 64128 GiB0

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    c6gd.xlarge FAQs