Lambda Stack is all the AI software you need
Installing Lambda Stack
Non-interactive installations
For non-interactive installations, such as on servers, run:
wget -nv -O- https://lambda.ai/install-lambda-stack.sh |
I_AGREE_TO_THE_CUDNN_LICENSE=1 sh -
Note: You must read and agree to the cuDNN license agreement before running the non-interactive installation command.
Interactive installations
For interactive installations, such as on workstations, run:
wget -nv -O- https://lambda.ai/install-lambda-stack.sh | sh -
sudo reboot
Note: The installation script automatically detects your system’s hardware and installs the appropriate drivers and firmware, including NVIDIA Fabric Manager for NVSwitch-based systems.
Using Lambda Stack in Python virtual environments
Once Lambda Stack is installed—either preinstalled or manually—you can access its packages from within a Python virtual environment:
python3 -m venv --system-site-packages <VIRTUAL-ENVIRONMENT-NAME>
source <VIRTUAL-ENVIRONMENT-NAME>/bin/activate
Running GPU-accelerated Docker containers
Since Lambda Stack includes the NVIDIA Container Toolkit, you can run GPU-accelerated containers immediately—no additional setup required.
Check out some of our tutorials using GPU-accelerated containers:
Upgrading Lambda Stack
Run this command and all of your AI software, from PyTorch® to CUDA, will be updated. Like Magic.
sudo apt update && sudo apt dist-upgrade
Everyone loves Lambda Stack—used by the F500, research labs, and the DOD
