Lambda Stack is all the AI software you need
Lambda Stack is a curated set of software packages widely used in machine learning and deep learning. Each package is tested for compatibility and interoperability across all Lambda systems and architectures, including the latest NVIDIA HGX B200 and H200 SXM GPUs.
Supported packages
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.
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-upgradeCurrent package versions
Everyone loves Lambda Stack
Used by the F500, research labs, and the Department of Defense. Everything we ship comes pre-installed with Lambda Stack. It’s loved by thousands of Lambda customers.
Ready to get started?
Create a cloud account to launch an instance today.




