Release
Google gooses Python AI performance by... removing Python
The Register · By Joab Jackson ·
The Brief
- Google describes a 'train in Python, serve in C++' approach for much of its ML work.
- Keeping the Python interpreter in the serving pipeline can add overhead and deployment complexity, per the source.
- The industry-backed OpenXLA Project is referenced as part of the approach.
Why it matters
Teams serving ML models may face lower serving overhead and simpler deployment if they move inference off the Python interpreter, though the source gives no benchmark figures.
Who’s affected
- Teams deploying ML models in production
- Developers running Python-based ML serving pipelines
- #machine-learning
- #python
- #c++
- #serving
- #openxla
- #performance
"Train in Python, serve in C++" might as well be Google's motto when it comes to much of its ML work. Python is easy for data scientists to wield, but keeping its interpreter in the serving pipeline can add overhead and deployment headaches. The industry-backed OpenXLA Project…
Timeline
The Register reports on Google's Python-to-C++ ML serving approach
www.theregister.com - Articles
Google gooses Python AI performance by... removing Python