Intel debuts Nauta for distributed deep learning with Kubernetes

Intel today announced the open source release of Nauta, a platform for deep learning distributed across multiple servers using Kubernetes or Docker. The platform can operate with a number of popular machine learning frameworks such as MXNet, TensorFlow, and PyTorch, and uses processing systems that can work with a cluster of Intel's Xeon CPUs. Results of deep learning experiments conducted with Nauta can be seen using TensorBoard, command line code, or a Nauta web user interface. "Nauta is an enterprise-grade stack for teams who need to run DL workloads to train models that will be deployed in production. With Nauta, users can define and schedule containerized deep learning experiments using Kubernetes on single or multiple worker nodes, and check the status and results of those experiments to further adjust and run additional experiments, or prepare the trained model for deployment," according to a blog post announcing the news today.