PoplarML is a platform that enables the deployment of scalable machine learning systems to production environments with minimal engineering effort. It offers a one-click deployment feature that seamlessly deploys machine learning models to a cluster of GPUs. Users can use REST API endpoints to make real-time calls to the model for inference. PoplarML supports various deep learning frameworks, including TensorFlow, PyTorch, and JAX. In addition, PoplarML offers several advantages, including efficient real-time inference, automatic scaling capabilities to meet traffic demands, and flexible deployment options. For pricing details, please visit the official website.