System operating environment requirements and technical configuration
As a professional scientific research automation tool, AI-Scientist-v2 has strict technical requirements on the running environment, which is the basic condition to ensure the normal operation of its functions.
Hardware and basic software requirements include:
- Must use Linux operating system
- Requires an NVIDIA GPU and supports CUDA acceleration
- Recommended Python 3.11 environment
- Dependent on PyTorch deep learning framework
The installation process is divided into several key steps:
- Creating a proprietary conda environment
- Installing PyTorch and CUDA drivers
- Configure PDF processing and LaTeX format checking tools
- Setting up big model API keys (supports OpenAI, Claude, and other major platforms)
- Optional Configuration of Semantic Scholar Academic APIs
The testing phase requires a command to verify that the GPU is available. For possible memory problems, the system recommends replacing smaller scale models or using Docker containers to improve security. These stringent environmental requirements ensure that the system is able to run various complex research tasks stably.
This answer comes from the articleAI-Scientist-v2: Autonomous completion of scientific research and paper writingThe
