Customizable compute built
to optimize your CI/CD pipeline

Use resource classes to increase developer productivity and reduce build times
by optimizing the compute power for your CI/CD jobs.

Boost productivity

Speed up software delivery pipelines so that developers can spend more time writing code and less time waiting for code to build.

Custom compute

Build, test, and deploy applications with unique system requirements without managing your own hardware.

Granular Optimization

Resource classes give DevOps teams full control over the compute allocated to each job so that pipelines run as efficiently as possible.

Available Resource Classes

Complex builds can be time-consuming. CircleCI offers powerful resource classes that speed up jobs and reduce developer wait time. Customize CPU, GPUs, and RAM by choosing one of our pre-configured resource classes to run your build.

Selecting Resource Classes

Easily run jobs on any of the available executors any time you need. Utilize multiple types and sizes in the same workflow.
Resource class availability varies by the type of plan you hold. See chart for distinction.

Docker/Linux

Small 1
CPU
2 GB
RAM
freeperformancescale
Medium 2
CPU
4 GB
RAM
freeperformancescale
Medium+ 3
CPU
6 GB
RAM
performancescale
Large 4
CPU
8 GB
RAM
performancescale
X-large 8
CPU
16 GB
RAM
performancescale
2 X-large 16
CPU
32 GB
RAM
scale
2 X-large+ 20
CPU
40 GB
RAM
scale

Linux VM

Medium 2
CPU
7.5 GB
RAM
freeperformancescale
Large 4
CPU
15 GB
RAM
performancescale
X-large 8
CPU
32 GB
RAM
performancescale
2 X-large 16
CPU
64 GB
RAM
scale

Arm VM (Linux)

Medium 2
CPU
8 GB
RAM
freeperformancescale
Large 4
CPU
16 GB
RAM
performancescale

macOS

Medium 4
CPU
8 GB
RAM
performancescale
Large 8
CPU
16 GB
RAM
scale

Windows

Medium 4
CPU
15 GB
RAM
freeperformancescale
Large 8
CPU
30 GB
RAM
performancescale
X-large 16
CPU
60 GB
RAM
performancescale
2 X-large 32
CPU
128 GB
RAM
scale

GPU

Small
(Nvidia Tesla P4)
4
CPU
15 GB
RAM
scale
Medium
(Nvidia Tesla T4)
8
CPU
30 GB
RAM
scale
Windows Medium
(Nvidia Tesla T4)
16
CPU
60 GB
RAM
scale
Large
(Nvidia Tesla V100)
8
CPU
30 GB
RAM
scale
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