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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 0.1412 USD per hour.
32 vCPU
64 GiB Memory
1.9 TB Storage
Spare SCore
48571
(All-cores)
1520
(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
2026-08-01T20:33:32.489347

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.200067 USD/h 0.784 USD/h
Northern Virgina (US) / us-east-1
0.41074 USD/h 1.2288 USD/h
Oregon (US) / us-west-2
0.386525 USD/h 1.2288 USD/h
Ohio (US) / us-east-2
0.441733 USD/h 1.2288 USD/h
Stockholm (SE) / eu-north-1
0.331833 USD/h 1.3312 USD/h
Quebec (CA) / ca-central-1
0.4655 USD/h 1.3568 USD/h
Aragón (ES) / eu-south-2
0.2375 USD/h 1.3952 USD/h
Dublin (IE) / eu-west-1
0.638033 USD/h 1.3952 USD/h
Seoul (KR) / ap-northeast-2
0.4807 USD/h 1.408 USD/h
Frankfurt (DE) / eu-central-1
0.630067 USD/h 1.424 USD/h
Jakarta (ID) / ap-southeast-3
0.152 USD/h 1.44 USD/h
Singapore (SG) / ap-southeast-1
0.627367 USD/h 1.44 USD/h
Paris (FR) / eu-west-3
0.4251 USD/h 1.472 USD/h
London (GB) / eu-west-2
0.432667 USD/h 1.472 USD/h
California (US) / us-west-1
0.61235 USD/h 1.536 USD/h
Zurich (CH) / eu-central-2
0.380633 USD/h 1.5664 USD/h
Osaka (JP) / ap-northeast-3
0.379067 USD/h 1.568 USD/h
Tokyo (JP) / ap-northeast-1
0.572733 USD/h 1.568 USD/h
Sydney (AU) / ap-southeast-2
0.5793 USD/h 1.616 USD/h
Cape Town (ZA) / af-south-1
0.210033 USD/h 1.664 USD/h
Sao Paulo (BR) / sa-east-1
0.407833 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

    A dedicated ARM64 compute-optimized instance featuring high-speed local NVMe storage and balanced multi-core performance for database and compilation workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c6gd.8xlarge is a compute-optimized, ARM64-based server instance powered by a 32-core AWS Graviton Neoverse-N1 processor running at 2.5 GHz. It features 64.0 GB of system memory and is bundled with 1900 GB of local NVMe SSD storage, operating on the AWS Nitro hypervisor with a 12 Gbps baseline network bandwidth. Benchmarks indicate average multi-core performance, with a stress-ng multi-core score of 48571.1 and strong database capabilities, including 40.61 million Redis SET operations per second. However, single-core performance is weaker, as shown by a Geekbench single-core score of 958.0. Qualitatively, the custom ARM architecture offers excellent resource density and cost-effective physical core allocation. This instance is highly suited for multi-threaded workloads, software compilation, static web serving, and database operations requiring fast local 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 1,896,415 ops/sec 1.92 50.00% 50.00% +38.60%
    Redis RPS (pipeline=16, SET) 21,621,223 ops/sec 11,539,523 ops/sec 1.87 20.00% 20.00% +13.30%
    PassMark Memory Mark (composite) 1,830 2,411 0.759 10.00% 10.00% -2.72%
    Memory bandwidth (read, 16 MB ~ L3) 186,532 MB/sec 107,368 MB/sec 1.74 10.00% 10.00% +5.70%
    PassMark single-thread CPU 1,110 Mops/s 2,363 Mops/s 0.47 10.00% 10.00% -7.27%

    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