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Data Science & ML

How to Work with Custom S3 Buckets and AWS SageMaker

In this blog, we discuss how you can work with custom S3 buckets and AWS SageMaker.

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Data Science & ML

Getting Started With MLFlow

MLFlow provides a centralized platform for tracking and managing machine learning experiments, packaging code and dependencies, and …

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Data Science & ML

Deploying FastAPI Applications

In this article, you will learn to deploy FastAPI on a private server. For this demonstration, an EC2 instance will be used, however, …

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Data Science & ML

How to Build Custom Docker Images For AWS SageMaker

In this post, we show how to create a custom Docker container image for AWS SageMaker.

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Partners & Customer Stories

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Partners & Customers

Modeling Unstructured Data Using Snowflake and Saturn Cloud

Our Snowflake quickstart example walks through using unstructured data in Snowflake.

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Partners & Customers

Measuring Model Training with Weights & Biases on Saturn Cloud

Weights & Biases is a great tool for monitoring model training performance. And it works with Saturn Cloud!

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Product

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Product

Introducing Saturn Cloud Hosted Organizations

The new Saturn Cloud Hosted Organizations plan lets teams of data scientists work together as a team on a hosted platform.

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Product

Introducing Julia for Saturn Cloud

Saturn Cloud now supports Julia, the scientific programming language, including GPU support and deployments.

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Product

Use R and Torch on a GPU

Saturn Cloud now has an image for using R and torch for neural network model training.

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Product

Introducing R for Saturn Cloud

Saturn Cloud now supports R with the RStudio IDE, GPU and parallel processing images, and the ability to deploy Shiny apps and Plumber …

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