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- Trust Domain Extensions (TDX) is introducing new, architectural elements to help deploy hardware-isolated, virtual machines (VMs) called trust domains (TDs). Intel TDX is designed to isolate VMs from the virtual-machine manager (VMM)/hypervisor and any other non-TD software on the platform to protect TDs from a broad range of software.
- Libva is an implementation for VA-API (Video Acceleration API)
stats-collect
Public- Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
- Advanced Quantization Algorithm for LLMs/VLMs. This is official implementation of "Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs"
tiny-tensor-compiler
Public- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
- Toolkit for managing and monitoring Kubernetes clusters; includes a Curses-based console UI as well as a few command-line tools.
- The Intel® In-Band Manageability Framework enables an administrator to perform critical Device Management operations over-the-air remotely from the cloud. It also facilitates the publishing of telemetry and critical events and logs from an IoT device to the cloud enabling the administrator to take corrective actions if, and when necessary. The f…
- Intel® Query Processing Library (Intel® QPL)
- 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