Posts in: Blog

OCT 31, 2022

Personalizing Stable Diffusion with Determined

By Garrett Goon

Stable Diffusion is the latest deep learning model to produce eye-popping art. With Determined AI, you can easily generate personalized pieces with Stable Diffusion through distributed fine-tuning.

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AUG 10, 2022

Getting Started With Determined: A First-Time User’s Experience, Part Two

By Denis Choukroun, Alex Putnam

Using our setup from Part 1 of this series, let’s dive into training an iris classification model on Determined with advanced deep learning capabilities!

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JUN 22, 2022

Training Arbitrary Models Made Easy With Core API

By Corey Staten

Seamlessly integrate arbitrary machine learning models and training loops into the Determined model training platform with Core API.

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MAY 11, 2022

Getting Started With Determined: A First-Time User’s Experience

By Denis Choukroun, Alex Putnam

Read a comprehensive review of a first-time user’s experience getting started with Determined alongside HPE Ezmeral Runtime Enterprise and Kubernetes.

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MAR 08, 2022

Maximize Your Jupyter Notebook Experience With Determined

By Miguel Suarez, Shiyuan Zhu

Use Jupyter Notebooks and Determined together to more easily manage deep learning experiments.

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MAY 13, 2021

Easier NLP training with Metaflow and Determined

By Hoang Phan, Savin Goyal

Bring your deep learning projects from research to reality by using Metaflow’s real-life data science framework with Determined’s deep learning training platform.

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APR 08, 2021

Repost: Speedy Model Training with RAPIDS & Determined

By Angela Jiang

Learn how ML engineers can utilize NVIDIA GPUs more effectively to significantly accelerate model training with RAPIDS and the Determined Deep Learning Training Platform.

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APR 01, 2021

Make your deep learning cluster more efficient with resource pools

By Angela Jiang

Use Determined’s “resource pools” feature to train deep learning models more efficiently in your cluster.

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MAR 25, 2021

ALBERT on Determined: Distributed Training with Spot Instances

By Armand McQueen

How to use distributed training and spot instances to train ALBERT faster and save money at the same time.

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FEB 25, 2021

AI chips in the real world: Interoperability, constraints, cost, energy efficiency, and models

By Evan Sparks

We recap our CEO Evan Sparks’ “Orchestrate All The Things” podcast recording on the importance of interoperability in AI and developing hardware and software in tandem.

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