Alpa
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About
Alpa is a comprehensive system aimed at efficiently training and serving large-scale neural networks. It provides extensive documentation covering installation, quickstart guides, tutorials on distributed training, and performance tuning, as well as architectural insights and benchmarks. Users can explore a variety of tutorials, including those focused on utilizing parallelism techniques and working with prominent neural models like OPT-175B and BLOOM-176B. The documentation also includes a developer guide, performance benchmarks, and various publications.
Platform
Task
Features
• benchmarking performance metrics
• detailed architectural documentation
• performance tuning guides
• distributed training capabilities
• supports large-scale neural network training
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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