An IIHT Company

It stands as a robust acceleration platform crafted, designed to facilitate the development of machine learning inference solutions on Xilinx platforms, including FPGAs and ACAPs. It encompasses a spectrum of optimized components, software utilities, libraries, and pre-trained deep learning models sourced from industry-standard frameworks. This comprehensive suite empowers developers to effortlessly harness accelerated AI inference capabilities.

Key features of Vitis™ AI:

Optimized IP: Vitis™ AI incorporates specially tuned Intellectual Property (IP) blocks, tailored to maximize the efficiency of machine learning inference tasks on Xilinx hardware.

Software Toolset: Developers benefit from a suite of software tools that assist in model creation and optimization. These tools cover essential tasks like model quantization, optimization, and compilation for deployment on Xilinx hardware.

Libraries: It offers a repository of libraries containing pre-trained deep learning models from diverse industry-standard frameworks. This simplifies the development process by providing readily available models.

Framework Compatibility: Vitis™ AI accommodates popular machine learning frameworks such as PyTorch, TensorFlow, and Caffe. Developers can work with their framework of choice, ensuring flexibility in AI model development.

AI Quantizer, Optimizer, and Compiler: The platform includes specialized tools like the AI Quantizer, Optimizer, and Compiler, which focus on improving the processing efficiency of AI models. These tools optimize factors like latency, throughput, and power consumption.

APIs: It offers high-level C++ and Python APIs, streamlining the integration of AI capabilities into applications. This simplifies the implementation of AI models on edge and cloud platforms.

Scalable DPU IP Cores: Vitis™ AI features scalable Deep Learning Processing Unit (DPU) IP cores that can be deployed on Xilinx Zynq SoCs and ACAPs. These IP cores can be customized to meet specific performance, latency, or power consumption requirements, making them suitable for a wide array of AI applications.

In essence, Vitis™ AI empowers developers to harness the potential of Xilinx FPGA and ACAP devices for accelerating AI inference tasks. It offers a comprehensive toolkit to streamline AI model development and optimization, enabling the deployment of AI solutions across a diverse range of applications and industries with ease.