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c7gd.metal by Amazon Web Services

c7gd.metal is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen7 metal server offered by Amazon Web Services with 64 vCPUs, 128 GiB of memory and 3.8 TB of storage. The pricing starts at 0.3145 USD per hour.
64 vCPU
128 GiB Memory
3.8 TB Storage
Spare SCore
98061
(All-cores)
1535
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c7gd.metal
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen7 metal
Family
c7gd
Hw Virt
Status
active
Observed At
2026-08-05T23:33:29.992534

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.383733 USD/h 1.8432 USD/h
(MY) / ap-southeast-5
2.253233 USD/h 2.8787 USD/h
Northern Virgina (US) / us-east-1
0.69464 USD/h 2.903 USD/h
Ohio (US) / us-east-2
0.535733 USD/h 2.903 USD/h
Oregon (US) / us-west-2
0.896975 USD/h 2.903 USD/h
Stockholm (SE) / eu-north-1
0.348367 USD/h 3.145 USD/h
Quebec (CA) / ca-central-1
0.5598 USD/h 3.2051 USD/h
Dublin (IE) / eu-west-1
1.432333 USD/h 3.296 USD/h
Aragón (ES) / eu-south-2
1.5448 USD/h 3.2962 USD/h
Seoul (KR) / ap-northeast-2
0.6315 USD/h 3.3267 USD/h
Frankfurt (DE) / eu-central-1
0.985 USD/h 3.3568 USD/h
Jakarta (ID) / ap-southeast-3
0.3387 USD/h 3.3869 USD/h
Singapore (SG) / ap-southeast-1
1.112467 USD/h 3.3869 USD/h
London (GB) / eu-west-2
0.583433 USD/h 3.4778 USD/h
Paris (FR) / eu-west-3
0.5981 USD/h 3.4778 USD/h
California (US) / us-west-1
0.93245 USD/h 3.6288 USD/h
Osaka (JP) / ap-northeast-3
1.04455 USD/h 3.689 USD/h
Tokyo (JP) / ap-northeast-1
1.069867 USD/h 3.6896 USD/h
Zurich (CH) / eu-central-2
0.6451 USD/h 3.6922 USD/h
Sydney (AU) / ap-southeast-2
0.957133 USD/h 3.8106 USD/h
Sao Paulo (BR) / sa-east-1
0.4506 USD/h 4.5056 USD/h

Processor

vCPUs
64
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
128 GiB
Memory Generation
DDR5
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

    A bare-metal ARMv8 server combining sixty-four dedicated cores with high-speed local NVMe storage for parallelized workloads and database operations.

    Compute OptimizedStorage & Database

    Amazon Web Services c7gd.metal is a bare-metal, compute-optimized server featuring 64 dedicated ARMv8 Neoverse-V1 cores running at 2.6 GHz. It is equipped with 128.0 GB of DDR5 memory and 3800 GB of local NVMe SSD storage, supported by a 30 Gbps baseline network. Benchmark results highlight top-tier multi-core performance, with a Geekbench multi-core score of 20998.0 and strong memory bandwidth, though single-core execution and small-model LLM text generation show average to poor relative speeds. The combination of dedicated physical cores and high-capacity local NVMe storage makes this server suitable for multi-threaded software compilation, database operations, and high-throughput static web serving.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    3.43Score
    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) 10,021,185 ops/sec 1,910,660 ops/sec 5.24 50.00% 50.00% +129.00%
    Redis RPS (pipeline=16, SET) 57,020,585 ops/sec 11,608,287 ops/sec 4.91 20.00% 20.00% +37.50%
    PassMark Memory Mark (composite) 3,132 2,416 1.3 10.00% 10.00% +2.66%
    Memory bandwidth (read, 16 MB ~ L3) 297,698 MB/sec 107,896 MB/sec 2.76 10.00% 10.00% +10.70%
    PassMark single-thread CPU 1,570 Mops/s 2,364 Mops/s 0.664 10.00% 10.00% -4.01%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,544

    Geekbench Multi-Core

    Score: 20,998

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 34731
    Compression
    		 339120
    Encryption
    		 8965
    Extended Instructions
    		 52988
    Floating Point Maths
    		 304086
    Integer Maths
    		 305808
    Physics
    		 8548
    Prime Numbers
    		 330
    Single Threaded
    		 1570
    String Sorting
    		 242440

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3132
    Database Operations
    		 31582
    Memory Latency
    		 50
    Memory Read Cached
    		 19730
    Memory Read Uncached
    		 18980
    Memory Write
    		 19757

    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.metal FAQs