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 0.1331 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
2026-10-31T08:19:23.194021

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.347733 USD/h 0.784 USD/h
Ohio (US) / us-east-2
0.2933 USD/h 1.2288 USD/h
Oregon (US) / us-west-2
0.367975 USD/h 1.2288 USD/h
Northern Virgina (US) / us-east-1
0.40776 USD/h 1.2288 USD/h
Stockholm (SE) / eu-north-1
0.2003 USD/h 1.3312 USD/h
Quebec (CA) / ca-central-1
0.421367 USD/h 1.3568 USD/h
Aragón (ES) / eu-south-2
0.16685 USD/h 1.3952 USD/h
Dublin (IE) / eu-west-1
0.586433 USD/h 1.3952 USD/h
Seoul (KR) / ap-northeast-2
0.4347 USD/h 1.408 USD/h
Frankfurt (DE) / eu-central-1
0.506267 USD/h 1.424 USD/h
Jakarta (ID) / ap-southeast-3
0.144 USD/h 1.44 USD/h
Singapore (SG) / ap-southeast-1
0.600667 USD/h 1.44 USD/h
London (GB) / eu-west-2
0.3338 USD/h 1.472 USD/h
Paris (FR) / eu-west-3
0.5477 USD/h 1.472 USD/h
California (US) / us-west-1
0.4535 USD/h 1.536 USD/h
Zurich (CH) / eu-central-2
0.2757 USD/h 1.5664 USD/h
Osaka (JP) / ap-northeast-3
0.389433 USD/h 1.568 USD/h
Tokyo (JP) / ap-northeast-1
0.819567 USD/h 1.568 USD/h
Sydney (AU) / ap-southeast-2
0.6021 USD/h 1.616 USD/h
Cape Town (ZA) / af-south-1
0.4887 USD/h 1.664 USD/h
Sao Paulo (BR) / sa-east-1
0.339633 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
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    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 instance featuring dedicated physical cores, integrated local NVMe SSD storage, and balanced multi-core performance for data-intensive workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c6gd.8xlarge is an ARM64 compute-optimized instance powered by a 32-core AWS Graviton2 (Neoverse-N1) processor running at 2.5 GHz. It features 64.0 GB of memory (2.0 GB per core) and a 1900 GB local NVMe SSD instance store. Operating on the Nitro hypervisor, it provides 12 Gbps baseline network bandwidth. Benchmarks show average multi-core performance, with a Geekbench multi-core score of 11706.0 and a Passmark CPU score of 17314.07, though single-core metrics are weaker. The instance delivers solid database performance, with 40.61 million Redis SET operations per second and 33.11 GB/sec static web serving throughput. This configuration is efficient for multi-threaded, storage-intensive workloads such as databases, web serving, and software compilation, offering a balanced resource-to-cost ratio through its dedicated ARM cores and integrated high-speed local NVMe storage.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.5Score
    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 1,918,343 ops/sec 1.9 50.00% 50.00% +38.00%
    Redis RPS (pipeline=16, SET) 21,621,223 ops/sec 11,704,734 ops/sec 1.8 20.00% 20.00% +12.00%
    PassMark Memory Mark (composite) 1,830 2,416 0.75 10.00% 10.00% -2.80%
    Memory bandwidth (read, 16 MB ~ L3) 186,532 MB/sec 108,466 MB/sec 1.7 10.00% 10.00% +5.40%
    PassMark single-thread CPU 1,110 Mops/s 2,365 Mops/s 0.46 10.00% 10.00% -7.50%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 958

    Geekbench Multi-Core

    Score: 11,706

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    17,314
    Compression
    152,383
    Encryption
    4,371
    Extended Instructions
    19,964
    Floating Point Maths
    95,962
    Integer Maths
    126,450
    Physics
    3,095
    Prime Numbers
    158
    Single Threaded
    1,110
    String Sorting
    89,559

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    1,830
    Database Operations
    20,442
    Memory Latency
    70
    Memory Read Cached
    9,487
    Memory Read Uncached
    9,227
    Memory Write
    12,557

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

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    c6gd.8xlarge FAQs