Supercharging MLOps with Composability, Automation, and Scalability

Abstract: 

The new Petuum Platform is a composable platform for automatic and scalable MLOps. Today's widespread practice of ad-hoc integration between many fragmented ML tools leaves hard-to-fill gaps in end-to-end automation, scalability, and management of AI/ML applications. With the Petuum Platform, ML applications and infrastructure can be composed quickly and flexibly from standardized and reusable building blocks, thus transforming MLOps from ad-hoc craft production into a repeatable assembly-line process. This presentation and demo will show how your team can easily compose, manage, and monitor AI/ML infrastructure across multiple systems on a single pane of glass, seamlessly scale ML pipelines from local development to batch execution and online serving, and optimize end-to-end ML pipelines in an automatic and cost-efficient way. We will discuss new innovations in Composable, Automatic, and Scalable ML (CASL), developed in collaboration with CMU, UC Berkeley, and Stanford, and how they play a pivotal role in the Petuum Platform.

Bio: 

Tong Wen is an Architect and Director of Engineering at Petuum. Tong joined Petuum from Microsoft where he was a member of the founding team of Azure Machine Learning. Tong has 10+ years of experience in building innovative and high-impact AI/ML and HPC platforms with proven track record. Before his first startup experience in 2008, Tong was a researcher in computational science and engineering at IBM Research and Lawrence Berkley National Lab. He holds a Ph.D. degree in applied mathematics from MIT.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google