# Q Blocks Documentation

## Q Blocks Documentation

- [Welcome to Q Blocks](https://docs.qblocks.cloud/welcome-to-q-blocks.md)
- [GPU Computing at Scale](https://docs.qblocks.cloud/gpu-computing-at-scale.md)
- [Launch a Q Blocks GPU instance](https://docs.qblocks.cloud/launch-a-q-blocks-gpu-instance.md)
- [Using Dashboard UI](https://docs.qblocks.cloud/launch-a-q-blocks-gpu-instance/using-dashboard-ui.md)
- [Using Rest APIs](https://docs.qblocks.cloud/launch-a-q-blocks-gpu-instance/using-rest-apis.md)
- [GPU Instance Pricing](https://docs.qblocks.cloud/gpu-instance-pricing.md): Q Blocks is one of the most cost effective GPU computing platforms designed to enable higher price to performance ratio for AI/ML dev teams.
- [Fine-tuning Falcon 7B/40B LLM](https://docs.qblocks.cloud/fine-tuning-falcon-7b-40b-llm.md)
- [IAM: Share access with team](https://docs.qblocks.cloud/iam-share-access-with-team.md)
- [Q Blocks How To Guide](https://docs.qblocks.cloud/q-blocks-how-to-guide.md)
- [Create a new user](https://docs.qblocks.cloud/q-blocks-how-to-guide/create-a-new-user.md): Ubuntu / Linux is the base operating system in Q Blocks computing instances.
- [Upload data using SCP command](https://docs.qblocks.cloud/q-blocks-how-to-guide/upload-data-using-scp-command.md)
- [Use Visual Studio Code with Q Blocks instances](https://docs.qblocks.cloud/q-blocks-how-to-guide/use-visual-studio-code-with-q-blocks-instances.md)
- [Port forwarding to run web services](https://docs.qblocks.cloud/q-blocks-how-to-guide/port-forwarding-to-run-web-services.md)
- [Launch Jupyter Hub in Q Blocks Instance](https://docs.qblocks.cloud/q-blocks-how-to-guide/launch-jupyter-hub-in-q-blocks-instance.md)
- [Launch TensorBoard in Q Blocks instance](https://docs.qblocks.cloud/q-blocks-how-to-guide/launch-tensorboard-in-q-blocks-instance.md)
- [Setup Horovod and OpenMPI in Q Blocks Instance](https://docs.qblocks.cloud/q-blocks-how-to-guide/setup-horovod-and-openmpi-in-q-blocks-instance.md)
- [Setup AIM for ML experiment tracking](https://docs.qblocks.cloud/q-blocks-how-to-guide/setup-aim-for-ml-experiment-tracking.md)
- [Disco Diffusion AI Art on Q Blocks](https://docs.qblocks.cloud/q-blocks-how-to-guide/disco-diffusion-ai-art-on-q-blocks.md)
- [Stable Diffusion Text to Image GPU server on Q Blocks](https://docs.qblocks.cloud/q-blocks-how-to-guide/stable-diffusion-text-to-image-gpu-server-on-q-blocks.md)
- [Setup Docker with Nvidia GPU support](https://docs.qblocks.cloud/q-blocks-how-to-guide/setup-docker-with-nvidia-gpu-support.md)
- [Enable port forwarding on a Docker container in Q Blocks instance](https://docs.qblocks.cloud/q-blocks-how-to-guide/enable-port-forwarding-on-a-docker-container-in-q-blocks-instance.md)
- [Run production ready lightweight kubernetes using K3s in Q Blocks instance](https://docs.qblocks.cloud/q-blocks-how-to-guide/run-production-ready-lightweight-kubernetes-using-k3s-in-q-blocks-instance.md)
- [Upgrade CUDA to v12.2](https://docs.qblocks.cloud/q-blocks-how-to-guide/upgrade-cuda-to-v12.2.md): This guide helps you upgrade your Q Blocks GPU instance CUDA version to 12.2.


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