c7gd.16xlarge by Amazon Web Services

c7gd.16xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen7 16xlarge server offered by Amazon Web Services with 64 vCPUs, 128 GiB of memory and 3.8 TB of storage. The pricing starts at 0.3387 USD per hour.
64 vCPU
128 GiB Memory
3.8 TB Storage
Spare SCore
97,920
(All-cores)
1,533
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c7gd.16xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen7 16xlarge
Family
c7gd
Hw Virt
Status
active
Observed At
2026-09-14T12:02:12.256984

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.619467 USD/h 1.8432 USD/h
(MY) / ap-southeast-5
0.846967 USD/h 2.8787 USD/h
Ohio (US) / us-east-2
0.660867 USD/h 2.903 USD/h
Oregon (US) / us-west-2
0.9377 USD/h 2.903 USD/h
Northern Virgina (US) / us-east-1
2.903 USD/h 2.903 USD/h
Stockholm (SE) / eu-north-1
0.5855 USD/h 3.145 USD/h
Quebec (CA) / ca-central-1
1.03655 USD/h 3.2051 USD/h
Dublin (IE) / eu-west-1
1.388467 USD/h 3.296 USD/h
Aragón (ES) / eu-south-2
0.4804 USD/h 3.2962 USD/h
Seoul (KR) / ap-northeast-2
0.89205 USD/h 3.3267 USD/h
Frankfurt (DE) / eu-central-1
1.270333 USD/h 3.3568 USD/h
Jakarta (ID) / ap-southeast-3
0.49465 USD/h 3.3869 USD/h
Singapore (SG) / ap-southeast-1
0.980333 USD/h 3.3869 USD/h
London (GB) / eu-west-2
0.825333 USD/h 3.4778 USD/h
Paris (FR) / eu-west-3
1.15085 USD/h 3.4778 USD/h
California (US) / us-west-1
1.55275 USD/h 3.6288 USD/h
Osaka (JP) / ap-northeast-3
1.0831 USD/h 3.689 USD/h
Tokyo (JP) / ap-northeast-1
1.245533 USD/h 3.6896 USD/h
Zurich (CH) / eu-central-2
0.7131 USD/h 3.6922 USD/h
Sydney (AU) / ap-southeast-2
1.224533 USD/h 3.8106 USD/h
Sao Paulo (BR) / sa-east-1
2.59225 USD/h 4.5056 USD/h

Processor

vCPUs
64
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
64
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
4 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
4 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
64 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
63.9
Scalability
99.84

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
126 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    3800 GB
    Storage Type
    nvme ssd
    Storages
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    NETWORK
    Network Speed Baseline
    30 Gbps
    Network Speed Max
    30 Gbps
    Network Storage Speed Baseline
    20 Gbps
    Network Storage Speed Max
    20 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An arm64 compute-optimized server combining sixty-four dedicated cores with high-speed local NVMe storage for demanding multi-threaded workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c7gd.16xlarge is a compute-optimized server featuring 64 dedicated physical cores on the arm64 architecture, powered by 2.6 GHz AWS Graviton processors. It is equipped with 128.0 GB of RAM, 3800 GB of local NVMe SSD storage, and a 30 Gbps baseline network interface. Operating on the Nitro hypervisor, this instance delivers strong multi-core performance, achieving top-tier results in software compilation and memory bandwidth benchmarks. While single-core performance remains average, its multi-threaded capabilities and high-speed local storage make it highly efficient for database operations, static web serving, and parallel processing workloads. The dedicated core design offers high resource density and qualitative cost efficiency for ARM-native applications.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    3.34Score
    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) 9,614,340 ops/sec 1,917,397 ops/sec 5.01 50.00% 50.00% +124.00%
    Redis RPS (pipeline=16, SET) 55,803,624 ops/sec 11,681,410 ops/sec 4.78 20.00% 20.00% +36.70%
    PassMark Memory Mark (composite) 3,130 2,418 1.29 10.00% 10.00% +2.58%
    Memory bandwidth (read, 16 MB ~ L3) 301,496 MB/sec 108,140 MB/sec 2.79 10.00% 10.00% +10.80%
    PassMark single-thread CPU 1,562 Mops/s 2,365 Mops/s 0.66 10.00% 10.00% -4.07%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,526

    Geekbench Multi-Core

    Score: 20,766

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    34542
    Compression
    337566
    Encryption
    8908
    Extended Instructions
    52869
    Floating Point Maths
    303586
    Integer Maths
    305271
    Physics
    8372
    Prime Numbers
    325
    Single Threaded
    1562
    String Sorting
    241550

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    3130
    Database Operations
    31327
    Memory Latency
    50
    Memory Read Cached
    19683
    Memory Read Uncached
    18973
    Memory Write
    19706

    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.8xlarge 3264 GiB0
    c7gd.12xlarge 4896 GiB0

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    c7gd.16xlarge FAQs