Lazy is the new fast: How Lazy Imports and Cinder accelerate machine learning at Meta

At Meta, the quest for faster model training has yielded an exciting milestone: the adoption of Lazy Imports and the Python Cinder runtime. The outcome? Up to 40 percent time to first batch (TTFB) improvements, along with a 20 percent reduction in Jupyter kernel startup times. This advancement facilitates swifter experimentation capabilities and elevates the [...]


Read More...


The post Lazy is the new fast: How Lazy Imports and Cinder accelerate machine learning at Meta appeared first on Engineering at Meta.


http://dlvr.it/T1Z9nc

Komentar

Postingan populer dari blog ini

Inside Meta’s first smart glasses

Charting the future of our bug bounty program

How Meta enforces purpose limitation via Privacy Aware Infrastructure at scale