…The model is then optimized with Intel Extension for PyTorch, which introduces CPU-specific optimizations to enhance performance on Intel hardware. The model precision is converted to bfloat16 format. This reduces memory…
…CPU has improved the runtime performance. Introduced support of automatic layout conversion which allows to support for more TensorFlow models out of the box. Model Import Updates TensorFlow Framework Support Added support…
By Alexandra Marie Shinsel What is a Roofline Model? A Roofline chart is a visual representation of application performance in relation to hardware limitations, including memory bandwidth and computational peaks. In 2013…
…Support for Falcon-7B-Instruct, a GenAI Large Language Model (LLM) ready-to-use chat/instruct model with superior performance metrics. New Jupyter Notebooks added: YOLO V9, YOLO V8 Oriented Bounding Boxes…
…UPDATE
…Intel will continue to optimize performance and AI experience across Intel’s product portfolio. Learn More Phi open models Download the models from Azure AI Foundry Product and Performance Information Intel® Core…
…To tackle this challenge, Runway collaborated with Intel to explore a series of optimizations to one of its most popular use-cases, focusing on a person segmentation model. The model performs the…
…Boost the performance of your workloads, reduce model size, and improve the speed of your Deep Learning deployments on Intel® Xeon® processors with Intel® Extension for PyTorch*. Deep Learning PyTorch* GPU : Boost…
By Introduction This guide is for users who are already familiar with the BERT model. It provides recommendations for configuring hardware and software that provide the best performance in most situations. However…
…along with performance optimizations for CPUs and GPUs. The Intel® MPI Library expanded container support, and updated Mellanox OFED support. Intel® Advisor enhanced the Source View analysis for Offload Modeling and GPU…