Platform-Independent Development Solution
LazyLLM employs an abstraction layer design to address cross-platform compatibility challenges. The specific implementation method is as follows:
- Unified API interfaceAll functional modules expose services through standardized interfaces, eliminating platform-specific code.
- Platform Parameter Switching: Deployment is accomplished through the
--platformSpecify the target environment (e.g., Slurm/Cloud/Bare_Metal) without modifying the business logic code.
Typical application scenarios:
- Prototype validation completed on the local development machine.
- increase
--platform slurmParameters are deployed directly to the HPC cluster. - Modify the parameters to
cloudMigrate to a public cloud environment
Also recommended:
- Encapsulating dependency environments in Docker ensures consistency
- Use the project-supplied
parallelChanges in Concurrency Characteristics Due to Differences in Module Processing Platforms
This solution can reduce the environment migration time to less than one hour.
This answer comes from the articleLazyLLM: Shangtang's open source low-code development tool for building multi-intelligence body applicationsThe
May not be reproduced without permission:AI productivity tools " How to Optimize Adaptation Costs for Cross-Platform AI Application Development with LazyLLM?
