From faster machine start-up to increased visibility of your workflows, Spell continues to streamline your Machine Learning pipeline.
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…
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.
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 runs with labels, so they’re easy to spot. Labels…
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 Spell to manage your own dedicated GCP cluster, with support for the following features:
The increasing availability of powerful compute resources is one of the main drivers of the rise of machine learning applications. But the cost of computation is also one of the main reasons people hesitate to run too many experiments. Building machine learning models requires a lot of trial and error…
Our new features in June make experiments much cheaper, saving models and run outputs 50% faster, and put more of your work at your fingertips on the web.
Read on for more!
Save 80% or more on your cloud hardware costs with spot instances. Users on our Teams plan can…
by Kathryn Lawrence
TL;DR (or if you don’t care how it’s built, and just want to read some articles about the future written by AI): Yes, the magazine can write itself, but it still needs a human publisher. Check it out at montag.xyz
The source material for this Spell-enabled project…
At Spell, we’re always looking for ways to make your machine learning workflow faster and easier. This month, we’re announcing one big new feature for Teams as well as a new pricing structure that is simpler and more transparent.
Interested in trying our Teams features? Email us at support@spell.run.
It’s April and spring has come to New York City and Spell. We have a bunch of big new features we’re launching this month. Head to spell.run to test them out and tell us what you think!
Since we announced Dedicated Clusters in January we’ve been onboarding customers and starting…
In addition to our existing grid and random hyperparameter strategies, Spell is excited to announce support for bayesian search. One of our awesome winter interns, Nikhil Bhatia, built a workflow that performed bayesian searches. …
MLOps platform to streamline machine learning. Sign up to our new MLOps newsletter at www.Spell.ml
