During AI Model lifecycle, the outcome model can be used for evaluation to check whether it meets the operational and business requirements. If the acceptable models can be completed sooner, they will be applied in real-life business earlier. That’s why the training models and inference speed will directly impact the business value and benefit.

This demo helps you train ImageNet data with Tensorflow 2.4 by leveraging AIACC, an AI acceleration engine running on ACK (K8s) to speed up your AI training.