c6gd.8xlarge by Amazon Web Services

c6gd.8xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen6 8xlarge server offered by Amazon Web Services with 32 vCPUs, 64 GiB of memory and 1.9 TB of storage. The pricing starts at 0.144 USD per hour.
32 vCPU
64 GiB Memory
1.9 TB Storage
Spare SCore
48,571
(All-cores)
1,520
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c6gd.8xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen6 8xlarge
Family
c6gd
Hw Virt
Status
active
Observed At
2026-09-15T23:28:08.963384

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.310333 USD/h 0.784 USD/h
Northern Virgina (US) / us-east-1
0.38156 USD/h 1.2288 USD/h
Ohio (US) / us-east-2
0.415333 USD/h 1.2288 USD/h
Oregon (US) / us-west-2
0.434775 USD/h 1.2288 USD/h
Stockholm (SE) / eu-north-1
0.223167 USD/h 1.3312 USD/h
Quebec (CA) / ca-central-1
0.479933 USD/h 1.3568 USD/h
Aragón (ES) / eu-south-2
0.1819 USD/h 1.3952 USD/h
Dublin (IE) / eu-west-1
0.592033 USD/h 1.3952 USD/h
Seoul (KR) / ap-northeast-2
0.4634 USD/h 1.408 USD/h
Frankfurt (DE) / eu-central-1
0.571767 USD/h 1.424 USD/h
Jakarta (ID) / ap-southeast-3
0.177567 USD/h 1.44 USD/h
Singapore (SG) / ap-southeast-1
0.6408 USD/h 1.44 USD/h
Paris (FR) / eu-west-3
0.557033 USD/h 1.472 USD/h
London (GB) / eu-west-2
0.414167 USD/h 1.472 USD/h
California (US) / us-west-1
0.5106 USD/h 1.536 USD/h
Zurich (CH) / eu-central-2
0.422267 USD/h 1.5664 USD/h
Osaka (JP) / ap-northeast-3
0.486567 USD/h 1.568 USD/h
Tokyo (JP) / ap-northeast-1
0.628 USD/h 1.568 USD/h
Sydney (AU) / ap-southeast-2
0.641467 USD/h 1.616 USD/h
Cape Town (ZA) / af-south-1
0.3709 USD/h 1.664 USD/h
Sao Paulo (BR) / sa-east-1
0.402267 USD/h 1.904 USD/h

Processor

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

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
63 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    1900 GB
    Storage Type
    nvme ssd
    Storages
    • 1900 GB nvme ssd
    NETWORK
    Network Speed Baseline
    12 Gbps
    Network Speed Max
    12 Gbps
    Network Storage Speed Baseline
    9.5 Gbps
    Network Storage Speed Max
    9.5 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 demanding multi-threaded workloads.

    Compute OptimizedStorage & Database

    The Amazon Web Services c6gd.8xlarge is an ARM64 compute-optimized instance powered by a 32-core AWS Graviton Neoverse-N1 processor running at 2.5 GHz. It features 64.0 GB of system memory, 1900 GB of local NVMe SSD storage, and a 12 Gbps baseline network bandwidth, managed by the Nitro hypervisor. Benchmark data indicates average multi-core CPU performance, with a stress-ng multi-core score of 48,571.1 and a Geekbench multi-core score of 11,706.0, alongside average database and web serving capabilities. However, single-core performance is weaker, as shown by a Geekbench single-core score of 958.0. This instance offers qualitative cost efficiency for multi-threaded workloads due to its dedicated physical cores and integrated high-speed local storage. It is highly suitable for multi-threaded applications, local database operations, software compilation, and static web serving.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.49Score
    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) 3,648,495 ops/sec 1,917,397 ops/sec 1.9 50.00% 50.00% +37.80%
    Redis RPS (pipeline=16, SET) 21,621,223 ops/sec 11,681,410 ops/sec 1.85 20.00% 20.00% +13.10%
    PassMark Memory Mark (composite) 1,830 2,418 0.757 10.00% 10.00% -2.75%
    Memory bandwidth (read, 16 MB ~ L3) 186,532 MB/sec 108,140 MB/sec 1.72 10.00% 10.00% +5.57%
    PassMark single-thread CPU 1,110 Mops/s 2,365 Mops/s 0.469 10.00% 10.00% -7.29%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 958

    Geekbench Multi-Core

    Score: 11,706

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 17314
    Compression
    		 152383
    Encryption
    		 4371
    Extended Instructions
    		 19964
    Floating Point Maths
    		 95962
    Integer Maths
    		 126450
    Physics
    		 3095
    Prime Numbers
    		 158
    Single Threaded
    		 1110
    String Sorting
    		 89559

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1830
    Database Operations
    		 20442
    Memory Latency
    		 70
    Memory Read Cached
    		 9487
    Memory Read Uncached
    		 9227
    Memory Write
    		 12557

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

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    c6gd.8xlarge FAQs