Weekly updates from our team on topics like large-scale deep learning training, cloud GPU infrastructure, hyperparameter tuning, and more.
MAR 25, 2021
How to use distributed training and spot instances to train ALBERT faster and save money at the same time.
FEB 25, 2021
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
Tracking machine learning data sets made easy with Data Version Control (DVC) and Determined.
FEB 03, 2021
An in-depth tutorial on training and tuning object detection models using Keras and Determined.
JAN 28, 2021
Training and deploying deep learning models has never been easier with Determined and Algorithmia.
DEC 29, 2020
Training better object detection models with Determined AI and hyperparameter search.
DEC 21, 2020
A recap of Determined’s first ever community sync a roundtable filled with deep learning use cases and product feedback.
NOV 30, 2020
Kubernetes is revolutionary for software engineering but painful for deep learning model development.
NOV 24, 2020
Announcing local gradient aggregation, a new performance optimization for open-source distributed training with Horovod!
NOV 13, 2020
Slurm is a great HPC job scheduler but lacks key deep learning capabilities, such as hyperparameter tuning, distributed training, and experiment management.