Here we go, the complete package

This assembly from Intel has all the goodies, Jupyter rectangles, command line, support for multiple syntax engines.   I am in market research regime, see how close I was, and I was actually very close.

According to Carlos Morales, senior director of deep learning system at Intel, Nauta is an enterprise-grade product that will help make data science teams more productive in developing, training, and deploying deep learning workloads on containerized environments.“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,” Morales says in a blog.
“At every level of abstraction, developers still have the opportunity to fall back to Kubernetes and use primitives directly,” he continues “Nauta gives newcomers to Kubernetes the ability to experiment – while maintaining guard rails.”
Nauta features customizable deep learning model templates that support popular deep learning development frameworks, including TensorFlow, MxNet, PyTorch, and Horovod. The software enables developers to run deep learning experiments on one or multi-node systems, in batch or streaming modality, all in a single platform, Morales says.
Nauta sports a bevvy of user interfaces, including a Web UI and command line interface, which “reduces concerns about the production readiness, configuration and interoperability of open source DL services,” Morales continues. In addition, Intel is supporting TensorBoard, a graphical user interface (GUI) that helps users visualize TensorFlow programs, with an eye to understanding and debugging them.Developers can create deep learning applications using their favorite environment, including Jupyter a popular data science notebook environment, according to a video on Intel’s Nauta landing page. Multiple users can interact with Nauta simultaneously, and the product facilitates sharing of inputs and outputs among multiple team members, Morales writes.