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Alpa

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About

Alpa is a system designed to facilitate the training and serving of large-scale neural networks. The documentation provides extensive guidance on getting started, including installation and a quickstart guide. It contains tutorials on distributed training, various parallelism techniques, performance tuning, and deployment using platforms like Slurm. Additional sections cover its design architecture, performance benchmarks, research publications, and a developer guide.

Platform
Web
Keywords
neural networksdistributed traininggpu managementperformance tuningai serving
Task
network training
Features

performance tuning

distributed training support

developer guidance

benchmarking information

architecture documentation

compatibility with slurm

quickstart tutorial

installation guide

FAQs
How to control the GPU devices used by Alpa?

Method 1: Use CUDA_VISIBLE_DEVICES. Method 2: Use arguments in alpa.init. Method 3: Use other Ray features.

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