Have you used Google Docs? How does it differ from documents edited in a desktop editor? How you file taxes online? How is your experience differ from doing your taxes in a desktop program? There's lots of benefits, but one key aspect is collaboration. You don't have to email documents back and forth. Imagine, you start doing scientific research. Collaborating on a single result would be painful. You write some code and create a graph, then you would do a snapshot, create an image file, put it in a doc, create a PDF, and then you send it to your collaborator. A few hours later, your colleague would say, "Looks great. But could you add one more years data? It looks kind of sparse." Then it goes through the process all over again. Why? Because the pdf you sent wasn't editable. Round trips take a long time. Enter Python Notebooks. You write the code, create the graph, write some commentary, and send the notebook link to your colleague. This way, when the colleague wants to add one more year of data, they would simply edit the cell, [inaudible] a new graph and say, "See, it looks a lot better," and that's great. Now you have a better notebook for the next step. One problem with traditional notebooks, who runs a server that hosts these pages? This machine, if it's yours, and your machine goes to sleep, then your colleague can't work. When you're AI Platform Notebook is hosted in the Cloud, you can delve together quite easily, and just as Google Docs are available even when your computer isn't on, so to our AI Platform Notebooks, when you run them in the Cloud. To share a notebook within a project, other users can simply connect to the VM and work using the URL. Another way to share notebooks is to a version control system, for example, Git. Cloud also frees you from being constrained by hardware limitations. Not only can you run AI Platform Notebooks on any Compute Engine machine you want, you can also change the machine's specs after it's been provisioned. You can go to the web console, find the running VM, stop it and restart it with a new machine configuration. To work at AI Platform Notebooks, you simply connect to the VM that's running the notebook server. Notebooks themselves can be persistent in Git, so you can delete the VM if you don't need it anymore. When you run the notebook, the computation is carry out on the VM.