Posts in: Blog
Weekly updates from our team on topics like large-scale deep learning training, cloud GPU infrastructure, hyperparameter tuning, and more.
APR 08, 2021
Repost: Speedy Model Training with RAPIDS & Determined
Learn how ML engineers can utilize NVIDIA GPUs more effectively to significantly accelerate model training with RAPIDS and the Determined Deep Learning Training Platform.
APR 01, 2021
Make your deep learning cluster more efficient with resource pools
Use Determined’s “resource pools” feature to train deep learning models more efficiently in your cluster.
MAR 25, 2021
ALBERT on Determined: Distributed Training with Spot Instances
How to use distributed training and spot instances to train ALBERT faster and save money at the same time.
FEB 25, 2021
AI chips in the real world: Interoperability, constraints, cost, energy efficiency, and models
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.
FEB 09, 2021
Managing ML Training Data with DVC and Determined
Tracking machine learning data sets made easy with Data Version Control (DVC) and Determined.
FEB 03, 2021
Object Detection with Keras and Determined
An in-depth tutorial on training and tuning object detection models using Keras and Determined.
JAN 28, 2021
Algorithmia and Determined: How to train and deploy deep learning models with the Algorithmia-Determined integration
Training and deploying deep learning models has never been easier with Determined and Algorithmia.
DEC 29, 2020
Hyperparameter Search on FasterRCNN
Training better object detection models with Determined AI and hyperparameter search.
DEC 21, 2020
First-Ever Determined Community Sync
A recap of Determined’s first ever community sync a roundtable filled with deep learning use cases and product feedback.
NOV 30, 2020
Data Scientists Don't Care About Kubernetes
Kubernetes is revolutionary for software engineering but painful for deep learning model development.