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OpenVINO™ Execution Provider + Model Caching = Better First Inference Latency for your ONNX Models
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
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BootstrapNAS: Automated Hardware-Aware Model Optimization Tool Shows Up to 11.3x AI Improvement
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
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AI Data Processing: Near-Memory Compute for Energy-Efficient Systems
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
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How to use Model Downloader for Encoder Decoder Models using OpenVINO™ toolkit
Model Converter converts a public model into Inference Engine IR format using Model Optimizer
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Accelerating Media Analytics with Intel® DL Streamer featuring OpenVINO with Intel® RealSense
Optimize, tune, and run comprehensive AI inference with OpenVINO Toolkit.
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Création du site du projet THINK !
Ce site contient les actualités du projet THINK ainsi que des liens utiles sur les techniques neuronales (cours, systèmes de développements, résultats comparaisons, etc …
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