Archives mensuelles : avril 2022

Intel® Optane™ persistent memory can help unify data access methods for temporal caching to improve data-centric workload performance.

Discover how to use the Neural Network Compression Framework of the OpenVINOTM toolkit for 8-bit quantization in PyTorch

How Intel’s AI tech innovation can be applied to solve healthcare challenges.

Optimize, tune, and run comprehensive AI inference with OpenVINO Toolkit.

Model Converter converts a public model into Inference Engine IR format using Model Optimizer

Near Memory Compute is becoming important for future AI processing systems that need improvement in system performance and energy-efficiency. The Von Neumann computing model requires data to commute from memory to compute and this data movement burns energy. Is it … Continuer la lecture →

Intel Labs is developing an automated hardware-aware model optimization tool called BootstrapNAS to simplify the optimization of pre-trained AI models on Intel hardware, including Intel® Xeon® Scalable processors, which delivers built-in AI acceleration and flexibility. The tool will provide considerable … Continuer la lecture →

Developers, like yourself, can now leverage model caching through the OpenVINO Execution Provider for ONNX Runtime, a product that accelerates inferencing of ONNX models using ONNX Runtime API’s while using OpenVINO™ toolkit as a backend. With the OpenVINO Execution Provider, … Continuer la lecture →