AMD AI Engine is a versatile and powerful computational resource for digital signal processing and AI applications in Versal™ adaptive SoC portfolio.

AMD Vitis™ AI is an Integrated Development Environment that can be leveraged to accelerate AI inference on AMD adaptable platforms. Vitis AI provides optimized IP, tools, libraries, models, as well as resources, such as example designs and tutorials that aid the user throughout the development process.

借助 Vitis AI 优化 AI 推理，同时搭配不同的 NPU 核心以满足各种性能和功耗需求 。 优化的集成体验 利用该平台与边缘器件和 AMD Alveo™ 数据中心加速器卡的出色兼容性，无缝部署多种自定义 AI 模型。

Vitis™ AI 开发环境可在 赛灵思 硬件平台上加速 AI 推断，包括边缘器件和 Alveo™ 加速器卡。此环境由经过最优化的 IP 核、工具、库、模型和设计示例组成。

AMD Vitis™ AI is an integrated development environment that can be leveraged to accelerate AI inference on AMD platforms. This toolchain provides optimized IP, tools, libraries, models, as well as resources, such as example designs and tutorials that …

Vitis AI Library 是一组高层次库和 API，专为利用深度学习处理单元 (DPU) 来高效执行 AI 推断而构建。它是基于 Vitis AI 运行时利用统一 API 构建的，并且支持 XRT 2022.1。 Vitis AI Library 通过封装诸多高效且高质量的神经网络，提供易用且统一的接口。由此可简化深度学习神经网络的使用，对于不具备深度 ...

2024年10月30日 · Xilinx introduced the Versal™ AI Edge series, designed to enable AI innovation from the edge to the endpoint. This new series is mainly based on the AI Engine-ML that delivers 4X machine learning compute compared to previous AI Engine architecture and integrates new accelerator RAM with an enhanced memory hierarchy for evolving AI algorithms.

2024年10月30日 · More Information. See AMD Vitis™ Development Environment on xilinx.com. The tutorials under the AI Engine for Machine Learning (AIE-ML) Development help you learn how to target, develop, and deploy advanced algorithms using a Versal AIE-ML array in conjunction with PL IP/kernels and software applications running on the embedded processors.

Vitis AI 能够为赛灵思、 Zynq® UltraScale+™ MPSoC、Kria KV260、Versal 卡等嵌入式器件以及 Alveo 卡 （如 U50LV、U200、U250 和 U55C）提供一系列不同的 DPU，从而在吞吐量、时延、可扩展性以及功耗方面实现独特的差异性和灵活性。

Learn how to train, evaluate, convert, quantize, compile, and deploy YOLOv4 on Xilinx devices using Vitis AI. Learn about the TF2 flow for Vitis AI.