Videos

Run

‍

How to launch a single model training or data preprocessing run through the DKube UI while passing new parameters to pass to the training program via the UI and designated environment variables. Learn how to track the performance characteristics and the lineage of the run with the dataset and model versions used or created in the process.

Written by
Team DKube
more resources

Similar Blogs

View all resources
Blogs
MLOps on HPC/Slurm with Kubeflow

Over the last decade enterprises have made heavy investments in High Performance Computing (HPC) to solve complex scientific problems. They have used Slurm to schedule these massively parallel jobs on large clusters of compute nodes with accelerated hardware. AI/ML uses similar hardware for deep learning model training and enterprises are looking to find solutions that provide AI/ML model development on top of their existing HPC infrastructure. A recent trend in AI/ML is to use agile MLOps methodologies to productionize AI/ML models quickly. Marrying the two - AI/ML development using MLOps with HPC/Slurm clusters - will lead to a much faster adoption of this combination. This article elaborates on how to combine popular open-source frameworks, Slurm and Kubeflow, to run AI/ML workloads at scale on HPC clusters.

Blogs
Create an Enterprise-Ready MLOps Platform Using Kubeflow

Machine Learning offers the promise of revolutionizing AI. But to achieve that promise, it needs to move from something that only a few experts can use to a mainstream discipline. Until recently, only experts could navigate the complex patchwork of tools and processes required to create such a system.

Videos
Repos

How to set-up your first project in DKube by setting up and connecting with your code and data repositories. Learn what kind of code and data sources are available by default in DKube.

The time to put your AI model to work is now

There's a faster way to go from research to application. Find out how an MLOps workflow can benefit your teams.

Schedule a Demo
info@dkube.io
+(1) 408 430 2503
99 Almaden Blvd #603
San Jose, CA, 95113