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Sep 09

New Features in September: Jupyter Updates, Upload to Private Clusters, and a New Machine Type

We’ve made a number of updates to Jupyter workspaces that make it easier for you to do your work without leaving your Jupyter workspace environment. Utilize the Spell CLI to upload datasets to your…

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Oct 15

New Features in October: Bulk Actions, Label Filtering, Faster Machine Start-up, and More!

Spell automatically syncs uncommitted changes and use those changes as a git patch within your run. We provide a link that enables you to download the changes from your web console. Iterate and run…

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Aug 12

New Features in August: Pins and Labels, Filters, and Disk Usage Graph

Pins make it easy to find your most important runs by bringing pinned runs to the top of your runs list. If you’re part of a team, the runs you pin will only be visible to you. You can also organize…

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Jul 15

New Features in July: Run Spell in Your GCP Account, GitHub Private Repo Selector, Infrastructure…

When we launched AWS Dedicated Clusters, we already had our sights set on GCP next. This past month, we officially launched support for running Spell in your own GCP account. This means you can use…

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Products and Case Studies
Spell - Spell - Hyperparameter Searches

Optimize hyperparameters to improve the accuracy of your model with the Spell Hyper command

Spell - Spell - Jupyter Notebook Server - GPU Powered

Collaborative Jupyter Notebook or JupyterLab workspace server with powerful GPUs

Spell - Spell - Deep Learning Platform

The fastest and most powerful end-to-end platform for machine learning and deep learning.

Case Study : Spell - AlphaSense - Case Study

Spell - Learn how AlphaSense is using Spell to accelerate business insight discovery.

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