This repository contains a bunch of Dockerfiles showing how to build container images for OpenAI Whisper, with or without GPU libraries, and using various image optimization techniques.
I've gathered these Dockerfiles here to illustrate a presentation delivered February 8th, 2023 at the Kubernetes & Cloud Native Berlin Meetup (the slides are available here).
Purely for educational purposes, but feel free to copy any or all of these Dockerfiles if they're useful to you!
| Tag | Size |
|---|---|
| multistage-site-packages.torchpip.ffmpegstatic.cpu | 1.1GB |
| multistage-site-packages.torchpip.ffmpegstatic.cu117 | 3.68GB |
| multistage-venv.torchpip.ffmpegstatic.cpu | 1.1GB |
| multistage-venv.torchpip.ffmpegstatic.cu117 | 3.69GB |
| python | 6.61GB |
| python.bk | 4.79GB |
| python.torchpip.cpu | 2.42GB |
| python.torchpip.cu117 | 6.61GB |
| slim.bk | 4.1GB |
| slim.torchpip.bk.cpu | 1.49GB |
| slim.torchpip.bk.cu117 | 4.07GB |
| slim.torchpip.cpu | 1.8GB |
| slim.torchpip.cu117 | 5.99GB |
| slim.torchpip.ffmpegnix.cpu | 1.93GB |
| slim.torchpip.ffmpegnix.cu117 | 6.12GB |
| slim.torchpip.ffmpegstatic.cpu | 1.41GB |
| slim.torchpip.ffmpegstatic.cu117 | 5.6GB |