Whole Graph Optimizer (WeGO) offers a streamlined solution to deploy AI models on cloud deep-learning processor units (DPUs) by integrating the Vitis™ AI development kit with native frameworks.
With WeGO, AI developers can reuse existing Python code, including pre-processing and post-processing, to achieve optimal performance during the training phase to gain early feedback on the inference result. This leads to faster deployment and evaluation cycles for AI models.
We’ll use example designs from the Vitis AI platform tutorial on GitHub to illustrate the development flow on the Versal® ACAP VCK5000 development card.
In this webinar, we will cover the following:
If you are looking for an adaptive AI solution for the data center with high end-to-end performance, this webinar will help you jump start your journey. We’ll leave plenty of time for questions with our technical experts at the end. Register now.
AI Specialist, AMD