Jupyter Notebooks are best known as tools for Data Scientists to display Python, Spark or R scripts. 
A Jupyter Notebook enables you to share words, images, code AND code results.  .NET interactive Jupyter notebooks add c sharp, F# and PowerShell core to the mix.
In this episode, Rob Sewell will introduce Jupyter Notebooks and show you how useful they could be for you in your daily work-life for Incident Resolution, Repeatable Tasks, and Demoing New Features.

Video index:

  • [01:04] Why use notebooks
  • [02:01] Demo
  • [04:15] Display notebooks in GitHub
  • [04:52] Get your own .NET Interactive notebook
  • [05:26] Edit .NET Interactive notebooks in Azure Data Studio
  • [07:37] SQL Instance Permissions

Edge computing can solve specific business problems that demand some combination of in-house computing, high speed, and low latency that cloud-based AI can’t deliver, explained Deepu Talla, NVIDIA VP and GM of Embedded and Edge Computing.

The hardware and architecture that can support edge computing has improved significantly over the past year, including GPUs with Tensor Cores for dedicated AI processing, plus secure, high-performance networking gear. And edge server software is growing more sophisticated as well, such as NVIDIA’s EGX cloud-native software stack, which brings traditional cloud capabilities to the edge of the network. He also pointed to the company’s industry-specific application frameworks such as Metropolis for smart cities, Clara for health care, Jarvis for conversational AI, Isaac for robotics, and Aerial for telecommunications — each supporting forms of AI on NVIDIA GPUs.