Qwak’s Managed Jupyter Notebook for Machine Learning

Experience Qwak's managed Jupyter Notebook tailored for ML. Dive into seamless machine learning workflows. Read more about how you can enhance your ML journey with us today when you combine the power of managed Jupyter Notebooks!
Guy Eshet
Guy Eshet
Product Manager at Qwak
August 29, 2023
Table of contents
Qwak’s Managed Jupyter Notebook for Machine Learning

We are thrilled to unveil Qwak Workspaces - managed Jupyter Notebooks on Qwak. 

Qwak Workspaces combine the power of Jupyter Notebooks with the convenience of managed environments, allowing data science teams to innovate faster on their machine learning projects.

Provision a fully managed Jupyter Notebook in a few clicks on either GPU or CPU machines, freeing up valuable time to focus on what matters most.

Qwak Workspaces Demo Video -->

Why Use Qwak Workspaces?

  • Simplicity: Qwak Workspaces take the pain out of maintaining Jupyter environments.
  • Production-Ready: Experiment with models and deploy to production at any scale.
  • Collaboration: Collaborate and share notebooks with your team.
  • Customization: Select from a range of CPU and GPU instances tailored for your requirements.

Start your first Workspace now ->

managed workspaces and jupyter notebooks on Qwak

Coming Soon!

Deploy Models from Your Notebooks

Qwak Workspaces bridge the gap between research and production. By using a simple command, you can deploy your models at any scale on Qwak directly from your notebook.

Prediction Timers

Prediction timers help troubleshoot model prediction latency, measure prediction times, find bottlenecks, and optimize performance. Configure multiple timers to have more visibility on the Latency breakdown graph for your production models.

Read more in our official documentation ->

qwak latency timers

Feature Sets Backfill API

Updating historical data for features can be tough when dealing with large datasets. The new Backfill API makes this process much easier. Just pick the dates you need, run a Backfill job, and let the feature store handle the data update for you.

run batch job feature set backfill

Get Started With Qwak

Say goodbye to complex MLOps from building, training and deploying models, at any scale you need.

Open your free account today ->

Virtual Conference by Qwak
March 20th, 11AM EST ->

Chat with us to see the platform live and discover how we can help simplify your ML journey.

say goodbe to complex mlops with Qwak