Weekly updates from our team on topics like large-scale deep learning training, cloud GPU infrastructure, hyperparameter tuning, and more.
JUL 17, 2020
A geometry-aware approach to optimization for neural architecture search.
JUN 24, 2020
See an enterprise deep learning platform in action that comprises Pachyderm for data management, Determined for model development and training, and Seldon Core for deployment.
JUN 12, 2020
How you structure your machine learning codebase has a big impact on how easy it is to scale, including adding support for distributed training, hyperparameter tuning, and experiment tracking.
MAY 27, 2020
How to build a deep learning platform with open source components to handle tasks such as training data management and versioning, scalable model training, and deployment.
MAY 12, 2020
There is an incredibly common story playing out in countless enterprises in 2020.
MAY 07, 2020
With Determined you can cloud burst your deep learning training workloads on GCP’s cost-effective preemptible GPUs, in a way that is friendly to infrastructure teams and model developers alike.
APR 20, 2020
Determined AI and AWS SageMaker are both platforms that accelerate these Machine Learning Engineering workflows, but with key differences that we compare, in detail.
APR 15, 2020
A Response To Andreessen Horowitz’s “The New Business Of AI”
MAR 16, 2020
In this post, we explore the reasons behind it and suggest paths towards scalable training that have the potential to reliably work out of the box.
FEB 14, 2020
The environmental impact of artificial intelligence (AI) has been a hot topic as of late—and I believe it will be a defining issue for AI this decade.