c6gn.medium by Amazon Web Services

c6gn.medium is a Compute optimized [AWS Graviton processors] [Network and EBS optimized] Gen6 medium server offered by Amazon Web Services with 1 vCPUs, 2 GiB of memory and 0 GB of storage. The pricing starts at 0.0048 USD per hour.
1 vCPU
2 GiB Memory
Spare SCore
1,493
(All-cores)
1,493
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c6gn.medium
Description
Compute optimized [AWS Graviton processors] [Network and EBS optimized] Gen6 medium
Family
c6gn
Hw Virt
Status
active
Observed At
2026-10-02T17:40:42.948545Z

Availability

REGION / IDSPOTONDEMAND
(MY) / ap-southeast-5
0.034367 USD/h 0.0421 USD/h
(TH) / ap-southeast-7
0.0349 USD/h 0.0421 USD/h
Northern Virgina (US) / us-east-1
0.01032 USD/h 0.0432 USD/h
Oregon (US) / us-west-2
0.012275 USD/h 0.0432 USD/h
Ohio (US) / us-east-2
0.0091 USD/h 0.0432 USD/h
Mumbai (IN) / ap-south-1
0.015267 USD/h 0.0432 USD/h
(MX) / mx-central-1
0.0314 USD/h 0.0454 USD/h
Stockholm (SE) / eu-north-1
0.005767 USD/h 0.0465 USD/h
Quebec (CA) / ca-central-1
0.014167 USD/h 0.0473 USD/h
Calgary (CA) / ca-west-1
0.028833 USD/h 0.0473 USD/h
Seoul (KR) / ap-northeast-2
0.0071 USD/h 0.0488 USD/h
Dublin (IE) / eu-west-1
0.012633 USD/h 0.0488 USD/h
Taipei (TW) / ap-east-2
0.034567 USD/h 0.0491 USD/h
Frankfurt (DE) / eu-central-1
0.018567 USD/h 0.0493 USD/h
Singapore (SG) / ap-southeast-1
0.017833 USD/h 0.0495 USD/h
Jakarta (ID) / ap-southeast-3
0.005 USD/h 0.0496 USD/h
London (GB) / eu-west-2
0.0145 USD/h 0.0512 USD/h
Tel Aviv (IL) / il-central-1
0.015933 USD/h 0.0512 USD/h
Paris (FR) / eu-west-3
0.0177 USD/h 0.0512 USD/h
Milan (IT) / eu-south-1
0.018167 USD/h 0.0516 USD/h
California (US) / us-west-1
0.00805 USD/h 0.054 USD/h
Tokyo (JP) / ap-northeast-1
0.021233 USD/h 0.0545 USD/h
Osaka (JP) / ap-northeast-3
0.0263 USD/h 0.0546 USD/h
Sydney (AU) / ap-southeast-2
0.015733 USD/h 0.0565 USD/h
Hong Kong (HK) / ap-east-1
0.018767 USD/h 0.0573 USD/h
(NZ) / ap-southeast-6
0.0593 USD/h 0.0593 USD/h
Sao Paulo (BR) / sa-east-1
0.014833 USD/h 0.0665 USD/h

Processor

vCPUs
1
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
1
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
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, lrcpc, dcpop, asimddp, ssbs
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
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      1.6 Gbps
      Network Speed Max
      16 Gbps
      Network Storage Speed Baseline
      0.76 Gbps
      Network Storage Speed Max
      9.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      An entry-level, single-core arm64 instance designed for lightweight dedicated compute workloads and cost-efficient ARM development.

      Compute OptimizedGeneral Purpose

      Amazon Web Services c6gn.medium is a compute-optimized, arm64-based instance powered by a single dedicated 2.5 GHz AWS Graviton Neoverse-N1 core. It features 2.0 GB of memory, 32 MB of L3 cache, and a Nitro hypervisor, with no local storage or GPU. While its single-core stress-ng performance of 1492.69 is average, its overall multi-core and memory bandwidth capabilities are limited by its single-vCPU configuration. The instance provides a baseline network bandwidth of 2 Gbps. It is qualitatively cost-efficient for entry-level ARM development, lightweight web serving, and single-threaded testing workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.099Score
      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) 113,943 ops/sec 1,916,704 ops/sec 0.058 50.00% 50.00% -76.00%
      Redis RPS (pipeline=16, SET) 707,693 ops/sec 11,642,227 ops/sec 0.059 20.00% 20.00% -43.00%
      PassMark Memory Mark (composite) 740 2,418 0.31 10.00% 10.00% -11.00%
      Memory bandwidth (read, 16 MB ~ L3) 33,983 MB/sec 108,361 MB/sec 0.31 10.00% 10.00% -11.00%
      PassMark single-thread CPU 1,000 Mops/s 2,365 Mops/s 0.42 10.00% 10.00% -8.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 924

      Geekbench Multi-Core

      Score: 924

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 660
      Compression
      		 4129
      Encryption
      		 133
      Extended Instructions
      		 617
      Floating Point Maths
      		 2958
      Integer Maths
      		 3883
      Physics
      		 172
      Prime Numbers
      		 8
      Single Threaded
      		 1000
      String Sorting
      		 2798

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 741
      Database Operations
      		 628
      Memory Latency
      		 73
      Memory Read Cached
      		 9341
      Memory Read Uncached
      		 8998
      Memory Write
      		 12378

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      c6gn.large 24 GiB0
      c6gn.xlarge 48 GiB0
      c6gn.2xlarge 816 GiB0
      c6gn.4xlarge 1632 GiB0
      c6gn.8xlarge 3264 GiB0
      c6gn.12xlarge 4896 GiB0
      c6gn.16xlarge 64128 GiB0

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      c6gn.medium FAQs