c7gd.medium by Amazon Web Services

c7gd.medium is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen7 medium server offered by Amazon Web Services with 1 vCPUs, 2 GiB of memory and 59 GB of storage. The pricing starts at 0.0053 USD per hour.
1 vCPU
2 GiB Memory
59 GB Storage
Spare SCore
1,516
(All-cores)
1,516
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c7gd.medium
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen7 medium
Family
c7gd
Hw Virt
Status
active
Observed At
2026-10-06T11:21:10.165865

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.014 USD/h 0.0288 USD/h
(MY) / ap-southeast-5
0.019233 USD/h 0.045 USD/h
Ohio (US) / us-east-2
0.006967 USD/h 0.0454 USD/h
Oregon (US) / us-west-2
0.012175 USD/h 0.0454 USD/h
Northern Virgina (US) / us-east-1
0.0132 USD/h 0.0454 USD/h
Stockholm (SE) / eu-north-1
0.0117 USD/h 0.0491 USD/h
Quebec (CA) / ca-central-1
0.01575 USD/h 0.0501 USD/h
Aragón (ES) / eu-south-2
0.009667 USD/h 0.0515 USD/h
Dublin (IE) / eu-west-1
0.023567 USD/h 0.0515 USD/h
Seoul (KR) / ap-northeast-2
0.01115 USD/h 0.052 USD/h
Frankfurt (DE) / eu-central-1
0.019767 USD/h 0.0525 USD/h
Jakarta (ID) / ap-southeast-3
0.0054 USD/h 0.0529 USD/h
Singapore (SG) / ap-southeast-1
0.021167 USD/h 0.0529 USD/h
London (GB) / eu-west-2
0.0159 USD/h 0.0543 USD/h
Paris (FR) / eu-west-3
0.0191 USD/h 0.0543 USD/h
California (US) / us-west-1
0.0188 USD/h 0.0567 USD/h
Osaka (JP) / ap-northeast-3
0.017 USD/h 0.0576 USD/h
Zurich (CH) / eu-central-2
0.01815 USD/h 0.0577 USD/h
Tokyo (JP) / ap-northeast-1
0.021633 USD/h 0.0577 USD/h
Sydney (AU) / ap-southeast-2
0.018367 USD/h 0.0595 USD/h
Sao Paulo (BR) / sa-east-1
0.01545 USD/h 0.0704 USD/h

Processor

vCPUs
1
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
1
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
64 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
1 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
1
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
2 GiB
Memory Amount Actual
2 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    59 GB
    Storage Type
    nvme ssd
    Storages
    • 59 GB nvme ssd
    NETWORK
    Network Speed Baseline
    0.52 Gbps
    Network Speed Max
    12.5 Gbps
    Network Storage Speed Baseline
    0.315 Gbps
    Network Storage Speed Max
    10 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An arm64 single-core compute instance featuring dedicated Graviton processing and integrated local NVMe SSD storage for lightweight workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c7gd.medium is a compute-optimized, single-core arm64 server powered by a dedicated 2.6 GHz AWS Graviton Neoverse-V1 processor. It features 2.0 GB of memory, a 59 GB local NVMe SSD instance store volume, and a 1 Gbps baseline network connection. Operating on the Nitro hypervisor, this instance delivers average single-core performance, as evidenced by a Geekbench single-core score of 1430.0 and a stress-ng single-core score of 1515.58. Due to its single-vCPU configuration, multi-core performance and memory bandwidth are limited, with large block read speeds at 30.49 GB/sec. The c7gd.medium is qualitatively cost-efficient for lightweight, single-threaded applications, basic web serving, and development environments requiring fast local storage.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.14Score
    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) 156,529 ops/sec 1,916,704 ops/sec 0.084 50.00% 50.00% -71.00%
    Redis RPS (pipeline=16, SET) 1,025,251 ops/sec 11,642,227 ops/sec 0.083 20.00% 20.00% -39.00%
    PassMark Memory Mark (composite) 1,004 2,417 0.42 10.00% 10.00% -8.30%
    Memory bandwidth (read, 16 MB ~ L3) 48,577 MB/sec 108,361 MB/sec 0.45 10.00% 10.00% -7.70%
    PassMark single-thread CPU 1,429 Mops/s 2,365 Mops/s 0.58 10.00% 10.00% -5.30%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,430

    Geekbench Multi-Core

    Score: 1,430

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 778
    Compression
    		 5192
    Encryption
    		 134
    Extended Instructions
    		 821
    Floating Point Maths
    		 4702
    Integer Maths
    		 4727
    Physics
    		 280
    Prime Numbers
    		 12
    Single Threaded
    		 1429
    String Sorting
    		 3859

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1004
    Database Operations
    		 1003
    Memory Latency
    		 52
    Memory Read Cached
    		 19334
    Memory Read Uncached
    		 18627
    Memory Write
    		 19371

    LLM Inference Speed for Prompt Processing

    LLM Inference Speed for Text Generation

    Static Web Server

    Redis

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYGPUs
    c7gd.large 24 GiB0
    c7gd.xlarge 48 GiB0
    c7gd.2xlarge 816 GiB0
    c7gd.4xlarge 1632 GiB0
    c7gd.8xlarge 3264 GiB0
    c7gd.12xlarge 4896 GiB0
    c7gd.16xlarge 64128 GiB0

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    c7gd.medium FAQs