What is Lambda Stack?
Lambda Stack provides an easy way to install popular Machine Learning frameworks. With Lambda Stack, you can use apt / aptitude to install TensorFlow, Keras, PyTorch, Caffe, Caffe 2, Theano, CUDA, cuDNN, and NVIDIA GPU drivers. If a new version of any framework is released, Lambda Stack manages the upgrade. You'll never run into issues with your NVIDIA drivers again. It now supports Docker Image creation: https://github.com/lambdal/lambda-stack-dockerfiles.
Lambda Stack details
Ubuntu 16.04 / 18.04 desktop installation
For desktop computers running Ubuntu 16.04 or 18.04.
Lambda Stack Docker image creation for use with nvidia-docker
We've created Dockerfiles with a rolling-release of Lambda Stack, designed for use with nvidia-docker. To get the Dockerfiles, clone this repository: https://github.com/lambdal/lambda-stack-dockerfiles.
After cloning, you can build an Ubuntu 18.04 Docker image with:
For an Ubuntu 16.04 Docker image, use:
Ubuntu 16.04 server installation
For servers running Ubuntu 16.04 without a GUI (i.e. Ubuntu 16.04 server edition).
Ubuntu 18.04 server installation
For servers running Ubuntu 18.04 without a GUI (i.e. Ubuntu 18.04 server edition).
Incorporating into shell scripts, Docker, Ansible, etc.
If you want to integrate Lambda Stack installation into a script, you'll likely want to avoid all user input prompts. To use Lambda Stack in this way, you must have read and agreed to the CUDNN license.
Do this if a new version of TensorFlow (or any other framework) is released and you want to upgrade.
This will upgrade all packages, including dependencies such as CUDA, cuDNN, and NVIDIA drivers.
You’ll be ready to start training just moments after the installation.
Calculate how many hours you'll save after you stop futzing with your Linux install and multiply that by your hourly rate!
Lambda Stack works on notebooks, workstations, servers, cloud instances, and more.