🤔Q Blocks How To Guide
Q Blocks is a decentralized computing infrastructure platform designed to serve ML workloads at scale.
To enable full feature utilization, we provide you a quick How-To Guide.
The guide contains documentation to help you quickly get started with functionalities that Q Blocks instances offer out of the box:
Basic Instance functionality:
Use Visual Studio Code with Q Blocks instances
Port forwarding to run web services
Launch Jupyter Hub in Q Blocks Instance
Upgrade Instance CUDA to version 12.2
Machine learning tooling setup:
Launch TensorBoard in Q Blocks instance
Setup Horovod and OpenMPI in Q Blocks Instance
Setup AIM for ML experiment tracking
Disco Diffusion AI Art on Q Blocks
Stable Diffusion Text to Image GPU server on Q Blocks
Supported by Pro Instances:
Docker setup:
Setup Docker with Nvidia GPU support
Enable port forwarding on a Docker container in Q Blocks instance
Run production ready lightweight kubernetes using K3s in Q Blocks instance
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