docker
/
docs
mirror of https://github.com/docker/docs.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Fix the GenAI usecase guide 

Attempt to make it clearer where users can expect to be able to use GPU
acceleration. Currently that is (1) docker-ce on Linux; (2) docker
desktop on windows wsl2.

Signed-off-by: Piotr Stankiewicz <piotr.stankiewicz@docker.com>
This commit is contained in:
Piotr Stankiewicz 2024-02-09 15:07:01 +01:00
parent 27645332ad
commit 728f70cc85
2 changed files with 10 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
content/guides/use-case/genai-pdf-bot/containerize.md
View File

@ -6,7 +6,11 @@ description: Learn how to containerize a generative AI (GenAI) application.
## Prerequisites ## Prerequisites
* You have installed the latest version of [Docker Desktop](../../../get-docker.md). Docker adds new features regularly and some parts of this guide may work only with the latest version of Docker Desktop. > **Note**
>
> GenAI applications can often benefit from GPU acceleration. Currently Docker Desktop supports GPU acceleration only on [Windows with the WSL2 backend](../../../desktop/gpu.md#using-nvidia-gpus-with-wsl2). Linux users can also access GPU acceleration using a native installation of the [Docker Engine](../../../engine/install/_index.md).
* You have installed the latest version of [Docker Desktop](../../../get-docker.md) or, if you are a Linux user and are planning to use GPU acceleration, [Docker Engine](../../../engine/install/_index.md). Docker adds new features regularly and some parts of this guide may work only with the latest version of Docker Desktop.
* You have a [git client](https://git-scm.com/downloads). The examples in this section use a command-line based git client, but you can use any client. * You have a [git client](https://git-scm.com/downloads). The examples in this section use a command-line based git client, but you can use any client.
## Overview ## Overview

6
content/guides/use-case/genai-pdf-bot/develop.md
View File

@ -84,7 +84,7 @@ The sample application supports both [Ollama](https://ollama.ai/) and [OpenAI](h
While all platforms can use any of the previous scenarios, the performance and While all platforms can use any of the previous scenarios, the performance and
GPU support may vary. You can use the following guidelines to help you choose the appropriate option: GPU support may vary. You can use the following guidelines to help you choose the appropriate option:
- Run Ollama in a container if you're on Linux or Windows 11, you - Run Ollama in a container if you're on Linux, and using a native installation of the Docker Engine, or Windows 10/11, and using Docker Desktop, you
have a CUDA-supported GPU, and your system has at least 8 GB of RAM. have a CUDA-supported GPU, and your system has at least 8 GB of RAM.
- Run Ollama outside of a container if you're on an Apple silicon Mac. - Run Ollama outside of a container if you're on an Apple silicon Mac.
- Use OpenAI if the previous two scenarios don't apply to you. - Use OpenAI if the previous two scenarios don't apply to you.
@ -98,8 +98,8 @@ When running Ollama in a container, you should have a CUDA-supported GPU. While
To run Ollama in a container and provide GPU access: To run Ollama in a container and provide GPU access:
1. Install the prerequisites. 1. Install the prerequisites.
- For Linux, install the [NVIDIA Container Toolkilt](https://github.com/NVIDIA/nvidia-container-toolkit). - For Docker Engine on Linux, install the [NVIDIA Container Toolkilt](https://github.com/NVIDIA/nvidia-container-toolkit).
- For Windows 11, install the latest [NVIDIA driver](https://www.nvidia.com/Download/index.aspx). - For Docker Desktop on Windows 10/11, install the latest [NVIDIA driver](https://www.nvidia.com/Download/index.aspx) and make sure you are using the [WSL2 backend](../../../desktop/wsl/index.md/#turn-on-docker-desktop-wsl-2)
2. Add the Ollama service and a volume in your `compose.yaml`. The following is 2. Add the Ollama service and a volume in your `compose.yaml`. The following is
the updated `compose.yaml`: the updated `compose.yaml`: