General Introduction
AingDesk is an open source and free software designed to help users easily deploy and run various AI models on their local computers. Whether it's DeepSeek AingDesk is an easy to use, one-click deployment software for both Llama and Windows systems, which supports Windows, Linux and macOS. Supporting Windows, Linux and macOS systems, users simply follow the prompts to install the appropriate model runtime software and get started. aingDesk is not only easy to operate, but also has a built-in friendly chat window that allows users to interact with the model and support online sharing.
Function List
- One-click deployment of AI models: supports rapid deployment of DeepSeek, Llama and many other models.
- Cross-platform support: compatible with Windows, Linux and macOS systems.
- Built-in chat window: facilitates user interaction with the AI model.
- Online Sharing: Supports online sharing of model run results to others.
- Open Source Free: Based on the MIT open source agreement, it is free to use for both individuals and companies.
Using Help
Installation process
- Download AingDesk: Visit the AingDesk website and select the appropriate version for your operating system todownloadingThe
- Installing the softwareOnce the download is complete, run the installer and follow the prompts to complete the installation.
- Installation of model runtime software: After launching AingDesk, follow the prompts to install the required models to run the software.
- Selecting and installing models: Select the AI model you need (e.g. DeepSeek or Llama) in the AingDesk interface and click the Install button to complete the deployment of the model.
Guidelines for use
- Starting AingDesk: Double-click the desktop icon or launch AingDesk via the Start menu.
- Select Model: Select the AI model you need to run in the main screen.
- Interacting with models: Through the built-in chat window, you can type in questions or commands to interact with the AI model.
- Online Sharing: If you wish to share the results of a model run with others, you can use the online sharing feature to generate a shareable link.
Detailed Operation Procedure
- Deploy AI models with one clickClick the "Model Management" button in the main interface, select the model you need, click the "One Click Deployment" button, and wait for the installation to complete.
- Interacting with models: Type your question or instruction in the chat window, click the Send button, and the model will respond based on your input.
- Online Sharing: On the model run results page, click the "Share" button to generate a shareable link, and then send the link to others.
AingDesk Full Experience Flow
In the past, deploying AI models was complicated, requiring the use of the command line, configuring environment variables, and resolving dependencies. This was difficult for the average user.AingDesk changes this by simplifying the deployment process with a graphical interface that is just a few clicks away.
Simple interface and easy operation
AingDesk provides an intuitive graphical interface that simplifies the deployment of AI models. Users no longer need to write commands, but simply click on the interface.
AingDesk also has a smart recommendation feature. It will recommend the right model version based on the computer configuration. This helps the user to make a quick selection and makes it easy to use even for novices.
Easy sharing of models
AingDesk provides online sharing function. Users can share their deployed AI models with others. This facilitates team collaboration and knowledge sharing.
Built-in search engine and easy access to the Internet
AingDesk integrates with several search engines, such as Baidu, Sogou, and 360 Search, and the AI assistant can directly search for information on the Internet and provide the latest results. Users don't need to buy APIs to use AingDesk.
Low hardware requirements
AingDesk has modest hardware requirements; Windows users need only an Intel i5 or AMD Ryzen 5 processor, 8GB of RAM, and a 10GB solid state drive; Mac users can get by with an M1 chip or newer. Most computers can handle it.