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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 Python package for extending the official PyTorch that can easily obtain performance on Intel platform
- Kubernetes Container Runtime Interface proxy service with hardware resource aware workload placement policies
- Collection of Intel device plugins for Kubernetes
- Advanced Quantization Algorithm for LLMs/VLMs.
- Intel® Query Processing Library (Intel® QPL)
neural-compressor
PublicSOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime