Q Blocks Documentation
  • 👋Welcome to Q Blocks
  • 🌐GPU Computing at Scale
  • 💻Launch a Q Blocks GPU instance
    • Using Dashboard UI
    • Using Rest APIs
  • 💰GPU Instance Pricing
  • 🤖Fine-tuning Falcon 7B/40B LLM
  • 🔑IAM: Share access with team
  • 🤔Q Blocks How To Guide
    • Create a new user
    • Upload data using SCP command
    • Use Visual Studio Code with Q Blocks instances
    • Port forwarding to run web services
    • Launch Jupyter Hub in Q Blocks Instance
    • 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
    • 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
    • ↗️Upgrade CUDA to v12.2
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  • Basic Instance functionality:
  • Machine learning tooling setup:
  • Supported by Pro Instances:
  • Docker setup:

Q Blocks How To Guide

PreviousIAM: Share access with teamNextCreate a new user

Last updated 1 year ago

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:



Machine learning tooling setup:


Supported by Pro Instances:


Docker setup:


🤔
Create a new user
Upload data using SCP command
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
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
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