spicyramen

↗ HN profile [ 75.1 ms ] full profile
Karma
440
Created
December 25, 2018 (7y ago)
Submissions
0
Software developer. Singapore. Skills: Typescript, SQL, CSS, React, Node, Python, Flask, Django.
  1. My father in law from China came and plug in a TV device to the home wifi. I work in Big Tech remotely, should I be worried. Remote device is an Android box for streaming channels

  2. I have seen the rise of MLOps startups such as Cohere.ai, Saturn Cloud, Deepnote, octoML, weights and biases, etc. How really each of them are using VC money and making profits or just burning money? Reasoning: I work…

  3. Current scenario: Our company has been using Jupyter Lab Notebooks in their local workstations and we have a shared VM with GPUs in Google Cloud with GPUs for larger training jobs which we power on when needed.…

  4. I have a service (Jupyter) that crashes now and then and the Data scientist need to reboot their machines or login via SSH and restart it. I was thinking in adding a service (shell) that keeps monitoring the service…

  5. I'm exploring options for our Data Science team and seems to be few Enterprise ready Notebook solutions (Sagemaker, AI Platform Notebooks, Databrick's) any suggestions/feedback for the above 3 options? *Enterprise ready…

  6. TensorFlow Enterprise (cloud.google.com)