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- Toolkit for managing and monitoring Kubernetes clusters; includes a Curses-based console UI as well as a few command-line tools.
- A hardware component library developed with ROHD.
- A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
- Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs
- This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scaling is done with python, Docker, kubernetes, kubeflow, cnvrg.io, Helm, and other container orchestration frameworks for use in the cloud and on-premise