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Intel® End-to-End AI Optimization Kit release v0.2
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@xuechendi xuechendi released this 04 Nov 14:18
· 791 commits to main since this release
v0.2
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Intel® End-to-End AI Optimization Kit is a composable toolkits for E2E AI optimization to deliver high performance, lightweight networks/models efficiently on commodity HW like CPU, intending to make E2E AI pipelines faster, easier and more accessible.

Highlights

This release introduced 4 new deeply optimized End to End AI workflows including Computer Vision model ResNet, Speech Recognition model RNN-T, NLP model BERT and Reinforcement Learning model MiniGo that delivers optimized performance on CPU. The major optimizations are: improves scale-out capabilities on distributed CPU nodes, and built-in model optimization and auto hyperparameter tuning with Smart Democratization Advisor (SDA).

This release provides following highlighted features:

  • Single click AI solution deployment in distributed CPU clusters
  • Enhanced Smart Democratization Advisor (SDA)
  • Optimized popular models Resnet, RNN-T, Bert, MiniGo on CPU.

Improvements

  • Easy clustering deployment script
  • Click-to-run optimized AI pipelines
  • Updated data processing with RecDP for DLRM
  • Step by Step guides and demos

Versions and Components

  • Tensorflow 2.5, 2.10
  • Pytorch 1.10
  • Horovod 0.23, 0.26
  • Spark 3.1
  • Python 3.x

Links

Full Changelog: https://github.com/intel/e2eAIOK/commits/v0.2

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