QPod Stacks - Lab Foundation
QPod Lab Foundation provides the following docker image stacks:
Base Images
👉 Click here to see a list of Docker Images for basic developing
| Image Name (Feature Spectrum) | DockerHub Link | Based On | Description |
|---|---|---|---|
| atom | https://hub.docker.com/r/qpod/atom | ubuntu | (Not for final usage, add basic utilities based on ubuntu.) |
| base | https://hub.docker.com/r/qpod/base | qpod/atom | The image add some basic OS libs and Python3 (conda), as well as tini. |
| node | https://hub.docker.com/r/qpod/node | qpod/base | Minimal NodeJS environment (including npm and yarn). |
| jdk | https://hub.docker.com/r/qpod/jdk | qpod/base | Minimal Java environment (OpenJDK) |
| go | https://hub.docker.com/r/qpod/go | qpod/base | Minimal Golang environment. |
| julia | https://hub.docker.com/r/qpod/julia | qpod/base | Minimal Julia environment. |
| full-stack | https://hub.docker.com/r/qpod/core | qpod/base | ➕ Full Python environment (data + nlp + cv + chem + tensorflow + pytorch) ➕ Full R environment (datascience + RStudio + RShiny) + LaTex ➕ Base NodeJS environment ➕ Base Java environment (OpenJDK + maven) ➕ Minimal Julia environment |
Data Science Stacks
👉 Click here to see a list of Docker Images run on CPUs only
| Image Name (Feature Spectrum) | DockerHub Link | Based On | Description |
|---|---|---|---|
| py-data | https://hub.docker.com/r/qpod/py-data | qpod/base | Python environment customized for Data Science tasks. |
| py-nlp | https://hub.docker.com/r/qpod/py-nlp | qpod/base | Python environment customized for NLP tasks. |
| py-cv | https://hub.docker.com/r/qpod/py-cv | qpod/base | Python environment customized for Computer Vision tasks. |
| py-chem | https://hub.docker.com/r/qpod/py-chem | qpod/base | Python environment customized for Computational Chemistry tasks. |
| py-std | https://hub.docker.com/r/qpod/py-std | qpod/base | Python environment including all the packages mentioned above installed. |
| py-jdk | https://hub.docker.com/r/qpod/py-jdk | qpod/base | py-std plus OpenJDK. (no LaTex) |
| r-base | https://hub.docker.com/r/qpod/r-base | qpod/base | Minimal R environment -- no JDK, no R data science packages, no LaTex. |
| r-std | https://hub.docker.com/r/qpod/r-std | qpod/base | Standard R environment for data science -- including popular R data science packages. (OpenJDK included since many R packages need Java, no LaTex.) |
| r-latex | https://hub.docker.com/r/qpod/r-latex | qpod/base | r-std + LaTex -- this is the full R environment if you do not need RStudio. |
| r-studio | https://hub.docker.com/r/qpod/r-studio | qpod/base | Full R environment if you want to use RStudio. r-latex + RStudio + RShiny. |
AI Stacks - with NVIDIA GPU support
👉 Click here to see a list of Docker Images run on GPUs + CPUs
| Image Name (Feature Set) | DockerHub Link | Based On | Description |
|---|---|---|---|
| cuda | https://hub.docker.com/r/qpod/cuda_11.7 | qpod/base | Version 11.7 of NVIDIA cuda and cudnn libs, including runtime and devel. |
| cuda_11.2 | https://hub.docker.com/r/qpod/cuda_11.2 | qpod/base | Version 11.2 of NVIDIA cuda and cudnn libs, including runtime and devel. |
| tf2 | https://hub.docker.com/r/qpod/tf2 | qpod/cuda_11.2 | Tensorflow 2.x environment with GPU (cuda 11.2). |
| torch | https://hub.docker.com/r/qpod/torch | qpod/torch | Pytorch 1.x environment with GPU (cuda 11.7). |
| torch-cuda112 | https://hub.docker.com/r/qpod/torch-cuda112 | qpod/torch-cuda12 | Pytorch 1.x environment with GPU (cuda 10.2). |
| core-cuda | https://hub.docker.com/r/qpod/core-cuda | qpod/cuda_11.7 | Tensorflow 2.x + Pytorch environment with cuda. |