ZenDNN is a deep neural network acceleration inference library optimized for AMD “Zen” CPU architecture. ZenDNN library comprises of a set of fundamental building blocks and APIs …

ZenDNN leverages oneDNN/DNNL v2.6.3's basic infrastructure and APIs. ZenDNN optimizes several APIs and adds new APIs, which are currently integrated into TensorFlow, and …

Discover ZenDNN 5.0 for AMD EPYC™ CPUs: Unlock AI performance gains with advanced optimizations, LLM support, and INT4 quantization.

Learn how to boost inference performance on AMD EPYC CPUs using ZenDNN’s toolbox of easy-to-use plug-ins for popular frameworks including PyTorch, TensorFlow and ONNX Runtime.

TensorFlow-ZenDNN Plug-in For AMD CPUs The latest ZenDNN Plugin for TensorFlow * (zentf) 5.0.2 is here! This powerful upgrade continues to redefine deep learning performance on AMD …

We integrate acceleration libraries such as Intel MKL and NVIDIA (cuDNN, NCCL) to maximize speed. At the core, its CPU and GPU Tensor and neural network backends are mature and …

2025年3月4日 · ZenDNN includes AMD EPYC™ enhancements for bfloat16 performance, expanded support for cutting-edge models like Llama 3.1 and 3.2, Microsoft Phi, and more as …

2025年3月4日 · Use either the Binary Release or Build from Source option to install zentorch.

2025年1月27日 · ZenDNN 5.0 is their updated version of their neural network library that is compatible with the APIs from Intel oneDNN/DNNL and in turn can be used with the likes of …

This C++ API example demonstrates how to build the MNIST neural network topology for forward-pass inference. Tensor implementation and submission to primitives. Primitives creation. …