diff --git a/README.md b/README.md index e959bf4c..e1650b5a 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,8 @@ - + # Parallax A fully decentralized inference engine developed by [Gradient](https://gradient.network). Parallax lets you build your own AI cluster for model inference onto a set of distributed nodes despite their varying configuration and physical location. @@ -116,17 +116,17 @@ parallax run parallax run ``` -#### Step 2: Select model config +#### Step 2: Set cluster and model config Open http://localhost:3001 and you should see the setup interface. -![Model select](docs/images/model-selection.png) +![Model select](docs/images/node_join.png) Select your desired node and model config and click continue. -#### Step 3: Join each distributed nodes +#### Step 3: Connect your nodes -Copy the generated join command line to your node and run. +Copy the generated join command line to your node and run. For remote connection, you can find your scheduler-address in the scheduler logs. ```sh # local area network env @@ -137,7 +137,7 @@ parallax join -s {scheduler-address} parallax join -s /ip4/192.168.1.2/tcp/5001/p2p/xxxxxxxxxxxx ``` -![Node join](docs/images/node-join.png) +![Node join](docs/images/node_config.png) You should see your nodes start to show up with their status. Wait until all nodes are successfully connected, and you will automatically be directed to the chat interface. @@ -145,7 +145,7 @@ You should see your nodes start to show up with their status. Wait until all nod Done! You have your own AI cluster now. -![Chat](docs/images/chat.png) +![Chat](docs/images/chat_interface.png) ### Without frontend #### Step 1: Launch scheduler @@ -159,7 +159,7 @@ parallax run -m Qwen/Qwen3-0.6B -n 2 ``` Please notice and record the scheduler ip4 address generated in the terminal. -#### Step 2: Join each distributed nodes +#### Step 2: Connect your nodes For each distributed nodes including the main node, open a terminal and join the server with the scheduler address. ```sh # local area network env