Merge pull request #1399 from janhq/gpuDocs

docs: gpu not detected

docs/docs/guides/07-troubleshooting/02-failed-to-fetch.mdx

@@ -1,9 +1,8 @@
 ---
-title: Failed To Fetch
+title: Failed to Fetch
 slug: /troubleshooting/failed-to-fetch
 description: Troubleshooting "Failed to Fetch"
-keywords:
+keywords: [
-  [
     Jan AI,
     Jan,
     ChatGPT alternative,
@@ -22,14 +21,17 @@ You may receive a "Error Occured: Failed to Fetch" response when you first start
 This may occur due to several reasons. Please follow these steps to resolve it:
 
 1. Ensure you are on the latest version of Mac, Windows or Ubuntu OS version
-    - Upgrading to the latest version has resolved this issue for most people
+
+   - Upgrading to the latest version has resolved this issue for most people
 
 2. Select a model that is smaller than 80% of your hardware V/RAM.
-    - For example, if you have a 8GB machine, you should select models smaller than 6GB.
+
+   - For example, if you have a 8GB machine, you should select models smaller than 6GB.
 
 3. Install the latest [Nightly release](https://jan.ai/install/nightly/)
-    - If you are re-installing Jan, it can help to [clear the application cache](https://jan.ai/troubleshooting/stuck-on-broken-build/)
 
-4.  Ensure your V/RAM is accessible by the application (some people have virtual RAM)
+   - If you are re-installing Jan, it can help to [clear the application cache](https://jan.ai/troubleshooting/stuck-on-broken-build/)
 
-5.  If you are on Nvidia GPUs, please download [Cuda](https://developer.nvidia.com/cuda-downloads)
+4. Ensure your V/RAM is accessible by the application (some people have virtual RAM)
+
+5. If you are on Nvidia GPUs, please download [Cuda](https://developer.nvidia.com/cuda-downloads)

docs/docs/guides/07-troubleshooting/03-gpu-not-used.mdx

@@ -0,0 +1,37 @@
+---
+title: Jan is Not Using GPU
+keywords: [
+    Jan AI,
+    Jan,
+    ChatGPT alternative,
+    local AI,
+    private AI,
+    convZ
+    ersational AI,
+    no-subscription fee,
+    large language model,
+    troubleshooting,
+  ]
+---
+
+By default, Jan uses GPU acceleration.
+
+If you are experiencing this issue, you may need to download the latest Nvidia CUDA toolkit.
+
+> We weren't propagating CUDA issues in the old build.
+
+Steps:
+
+1. Download Cuda toolkit (versions 11.4+) from [Nvidia](https://developer.nvidia.com/cuda-downloads?target_os=Windows)
+
+1. Go to Settings > Advanced > Turn on GPU acceleration
+
+1. You may need to restart Jan
+
+1. Check in `System Monitor` that there is more (V)RAM now
+
+1. If the issue persists, please install the [Nightly version](/install/nightly) instead.
+
+1. If the issue persists, ensure your (V)RAM is accessible by the application. Some folks have virtual RAM and needs additional configuration.
+
+1. Get help in [Jan Discord](https://discord.gg/mY69SZaMaC).