c6gd.2xlarge by Amazon Web Services

c6gd.2xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen6 2xlarge server offered by Amazon Web Services with 8 vCPUs, 16 GiB of memory and 474 GB of storage. The pricing starts at 0.036 USD per hour.
8 vCPU
16 GiB Memory
474 GB Storage
Spare SCore
12,133
(All-cores)
1,520
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c6gd.2xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen6 2xlarge
Family
c6gd
Hw Virt
Status
active
Observed At
2026-09-15T23:28:08.961207

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.0611 USD/h 0.196 USD/h
Northern Virgina (US) / us-east-1
0.07474 USD/h 0.3072 USD/h
Ohio (US) / us-east-2
0.045133 USD/h 0.3072 USD/h
Oregon (US) / us-west-2
0.075675 USD/h 0.3072 USD/h
Stockholm (SE) / eu-north-1
0.079833 USD/h 0.3328 USD/h
Quebec (CA) / ca-central-1
0.0822 USD/h 0.3392 USD/h
Aragón (ES) / eu-south-2
0.0449 USD/h 0.3488 USD/h
Dublin (IE) / eu-west-1
0.1436 USD/h 0.3488 USD/h
Seoul (KR) / ap-northeast-2
0.072533 USD/h 0.352 USD/h
Frankfurt (DE) / eu-central-1
0.121567 USD/h 0.356 USD/h
Jakarta (ID) / ap-southeast-3
0.0455 USD/h 0.36 USD/h
Singapore (SG) / ap-southeast-1
0.138467 USD/h 0.36 USD/h
London (GB) / eu-west-2
0.0512 USD/h 0.368 USD/h
Paris (FR) / eu-west-3
0.134933 USD/h 0.368 USD/h
California (US) / us-west-1
0.1243 USD/h 0.384 USD/h
Zurich (CH) / eu-central-2
0.079567 USD/h 0.3916 USD/h
Tokyo (JP) / ap-northeast-1
0.099767 USD/h 0.392 USD/h
Osaka (JP) / ap-northeast-3
0.1138 USD/h 0.392 USD/h
Sydney (AU) / ap-southeast-2
0.1365 USD/h 0.404 USD/h
Cape Town (ZA) / af-south-1
0.132 USD/h 0.416 USD/h
Sao Paulo (BR) / sa-east-1
0.078933 USD/h 0.476 USD/h

Processor

vCPUs
8
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
8
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
512 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
8
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    474 GB
    Storage Type
    nvme ssd
    Storages
    • 474 GB nvme ssd
    NETWORK
    Network Speed Baseline
    2.5 Gbps
    Network Speed Max
    10 Gbps
    Network Storage Speed Baseline
    2.375 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 instance featuring dedicated physical cores and high-speed local NVMe SSD storage for multi-threaded workloads.

    Compute OptimizedStorage & DatabaseGeneral Purpose

    Amazon Web Services c6gd.2xlarge is an ARM64 compute-optimized server featuring 8 dedicated physical cores powered by an AWS Graviton2 Neoverse-N1 processor running at 2.5 GHz. It is equipped with 16.0 GB of RAM, 474 GB of local NVMe SSD storage, and a baseline network bandwidth of 2 Gbps. Operating on the Nitro hypervisor, the instance delivers average multi-core and memory-bandwidth performance, as demonstrated by a stress-ng multi-core score of 12133.14 and a cached read bandwidth of 473.11 GB/sec. However, single-core and cryptographic performance are relatively weak, with a Geekbench single-core score of 930.0. This server is qualitatively cost-efficient for multi-threaded workloads requiring fast local scratch storage, making it well-suited for software compilation, database operations, static web serving, and caching, while being less optimal for single-threaded or heavy cryptographic tasks.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.547Score
    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) 952,614 ops/sec 1,917,397 ops/sec 0.497 50.00% 50.00% -29.50%
    Redis RPS (pipeline=16, SET) 5,446,815 ops/sec 11,681,410 ops/sec 0.466 20.00% 20.00% -14.20%
    PassMark Memory Mark (composite) 1,626 2,418 0.673 10.00% 10.00% -3.88%
    Memory bandwidth (read, 16 MB ~ L3) 124,923 MB/sec 108,140 MB/sec 1.16 10.00% 10.00% +1.50%
    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: 930

    Geekbench Multi-Core

    Score: 5,364

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 5242
    Compression
    		 37730
    Encryption
    		 1085
    Extended Instructions
    		 4983
    Floating Point Maths
    		 23976
    Integer Maths
    		 31584
    Physics
    		 1173
    Prime Numbers
    		 67
    Single Threaded
    		 1111
    String Sorting
    		 22941

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1626
    Database Operations
    		 5270
    Memory Latency
    		 71
    Memory Read Cached
    		 9486
    Memory Read Uncached
    		 9212
    Memory Write
    		 12566

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

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    c6gd.2xlarge FAQs