Accelerating Compilation 2.5X with Dependency Decoupling & Testing Containerization

The text discusses the challenges faced during large-scale AI or MLOps projects due to complex dependencies and evolving compilation environments. It highlights common issues such as prohibitively long compilation times, complex compilation environments, and third-party dependency download failures. To address these issues, the article recommends decoupling project dependencies and implementing testing containerization. By doing so, it managed to decrease average compile time by 60% in an open-source embeddings similarity search project called Milvus. The text also provides detailed steps on how to decouple dependencies and optimize compilation between components, as well as within components. It concludes with further optimization measures such as regular cleanup of cache files and selective compile caching. Additionally, it emphasizes the benefits of leveraging containerized testing for reducing errors, improving stability, and reliability.