#Alpha2.0ProjectEvaluation Alpa: Distributed Training and Serving System

Alpa is a system designed to automate the training and serving of large-scale neural networks. Key features include:

Automatic Parallelization: Alpa can automatically parallelize single-device code across distributed clusters, utilizing data, operator, and pipeline parallelism.

Performance: It achieves linear scaling when training models with billions of parameters on distributed clusters.

Integration: Alpa integrates with libraries such as JAX, XLA, and Ray.