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Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code.
Features
- Automatic Parallelization
- Excellent Performance
- Tight Integration with Machine Learning Ecosystem
- Alpa automatically parallelizes users' single-device code on distributed clusters with data, operator, and pipeline parallelism
- Alpa achieves linear scaling on training models with billions of parameters on distributed clusters.
- Alpa is backed by open-source, high-performance, and production-ready libraries such as Jax, XLA, and Ray.
Project Samples
License
Apache License V2.0Follow Alpa
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