We sit down with TQ Chen, creator of XGBoost, MXNet, and TVM, to discuss machine learning model deployment and specialized hardware.
Kubernetes is revolutionary for software engineering but painful for deep learning model development.
Announcing local gradient aggregation, a new performance optimization for open-source distributed training with Horovod!
We are excited to announce the 0.13.8 release of the Determined deep learning training platform.
Slurm is a great HPC job scheduler but lacks key deep learning capabilities, such as hyperparameter tuning, distributed training, and experiment management.
We talk with Determined co-founder Neil Conway about open source deep learning, ML on Kubernetes, and the keys to accelerating deep learning model development.
How do Determined and Kubeflow compare? Determined is better for deep learning training, but Determined and Kubeflow can also be effectively used together.
Grad school would have been easier if we had access to Determined's deep learning training platform.
We are excited to announce the 0.13.7 release of the Determined deep learning training platform.
We chat with Alex Ratner, CEO of Snorkel AI, on the importance of programmatic data labeling in a machine learning workflow.