c7gd.8xlarge by Amazon Web Services

c7gd.8xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen7 8xlarge server offered by Amazon Web Services with 32 vCPUs, 64 GiB of memory and 1.9 TB of storage. The pricing starts at 0.1647 USD per hour.
32 vCPU
64 GiB Memory
1.9 TB Storage
Spare SCore
49,005
(All-cores)
1,532
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c7gd.8xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen7 8xlarge
Family
c7gd
Hw Virt
Status
active
Observed At
2026-09-12T09:13:55.986165

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.368133 USD/h 0.9216 USD/h
(MY) / ap-southeast-5
0.461133 USD/h 1.4394 USD/h
Ohio (US) / us-east-2
0.3957 USD/h 1.4515 USD/h
Northern Virgina (US) / us-east-1
0.48454 USD/h 1.4515 USD/h
Oregon (US) / us-west-2
0.48005 USD/h 1.4515 USD/h
Stockholm (SE) / eu-north-1
0.2029 USD/h 1.5725 USD/h
Quebec (CA) / ca-central-1
0.52785 USD/h 1.6026 USD/h
Dublin (IE) / eu-west-1
0.711067 USD/h 1.648 USD/h
Aragón (ES) / eu-south-2
0.4536 USD/h 1.6481 USD/h
Seoul (KR) / ap-northeast-2
0.414 USD/h 1.6634 USD/h
Frankfurt (DE) / eu-central-1
0.559767 USD/h 1.6784 USD/h
Jakarta (ID) / ap-southeast-3
0.17165 USD/h 1.6934 USD/h
Singapore (SG) / ap-southeast-1
0.718267 USD/h 1.6934 USD/h
London (GB) / eu-west-2
0.4969 USD/h 1.7389 USD/h
Paris (FR) / eu-west-3
0.66845 USD/h 1.7389 USD/h
California (US) / us-west-1
1.01985 USD/h 1.8144 USD/h
Osaka (JP) / ap-northeast-3
0.56195 USD/h 1.8445 USD/h
Tokyo (JP) / ap-northeast-1
0.691467 USD/h 1.8448 USD/h
Zurich (CH) / eu-central-2
0.5624 USD/h 1.8461 USD/h
Sydney (AU) / ap-southeast-2
0.618433 USD/h 1.9053 USD/h
Sao Paulo (BR) / sa-east-1
1.0264 USD/h 2.2528 USD/h

Processor

vCPUs
32
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
2.6 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv8
CPU Model
Neoverse-V1
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, jscvt, fcma, lrcpc, dcpop, sha3, sm3, sm4, asimddp, sha512, sve, asimdfhm, dit, uscat, ilrcpc, flagm, ssbs, paca, pacg, dcpodp, svei8mm, svebf16, i8mm, bf16, dgh, rng
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
    15 Gbps
    Network Speed Max
    15 Gbps
    Network Storage Speed Baseline
    10 Gbps
    Network Storage Speed Max
    10 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    A compute-optimized ARM64 platform featuring dedicated physical cores and high-speed local NVMe SSD storage for database and web-serving workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c7gd.8xlarge is a compute-optimized ARM64 instance powered by 32 dedicated AWS Neoverse-V1 physical cores running at 2.6 GHz. It features 64.0 GB of memory, a 1900 GB local NVMe SSD instance store, and a baseline network bandwidth of 15 Gbps. Operating on the Nitro hypervisor, this instance delivers strong multi-core and memory performance, with its Passmark memory score reaching the top-tier category and large-block memory bandwidth rated as strong. While it exhibits lower performance on large-scale LLM prompt processing, its high-speed local storage and strong database operations benchmark make it highly efficient for database workloads, static web serving, and multi-threaded data processing.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.09Score
    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) 4,993,945 ops/sec 1,917,397 ops/sec 2.6 50.00% 50.00% +61.20%
    Redis RPS (pipeline=16, SET) 29,394,137 ops/sec 11,681,410 ops/sec 2.52 20.00% 20.00% +20.30%
    PassMark Memory Mark (composite) 3,121 2,418 1.29 10.00% 10.00% +2.58%
    Memory bandwidth (read, 16 MB ~ L3) 269,396 MB/sec 108,140 MB/sec 2.49 10.00% 10.00% +9.55%
    PassMark single-thread CPU 1,561 Mops/s 2,365 Mops/s 0.66 10.00% 10.00% -4.07%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,500

    Geekbench Multi-Core

    Score: 17,521

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 20737
    Compression
    		 169387
    Encryption
    		 4455
    Extended Instructions
    		 26486
    Floating Point Maths
    		 151903
    Integer Maths
    		 152728
    Physics
    		 6763
    Prime Numbers
    		 239
    Single Threaded
    		 1561
    String Sorting
    		 125571

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3121
    Database Operations
    		 31126
    Memory Latency
    		 49
    Memory Read Cached
    		 19688
    Memory Read Uncached
    		 19013
    Memory Write
    		 19702

    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
    c7gd.medium 12 GiB0
    c7gd.large 24 GiB0
    c7gd.xlarge 48 GiB0
    c7gd.2xlarge 816 GiB0
    c7gd.4xlarge 1632 GiB0
    c7gd.12xlarge 4896 GiB0
    c7gd.16xlarge 64128 GiB0

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    c7gd.8xlarge FAQs