Scalability of ML Applications

The Scalability of ML Applications event will focus on the challenges and solutions related to building and deploying machine learning applications at scale.
The event will cover various topics, including distributed computing, parallel processing, model optimization, deployment architectures, and more.

Attendees will have the opportunity to hear from experts in the field, share their own experiences and insights, and network with other professionals interested in the scalability of machine learning applications.

The event is designed for software engineers, data scientists, machine learning practitioners, and anyone interested in building and deploying large-scale machine learning applications.

Agenda

10:45- Check in time
11:00 to 11:45- Docker and Kubernetes for Scaling ML applications by Vishwas Narayan, Community Evangelist @Devtron
11:45 to 12:30- Scaling Large Language Model training and deployments by Joinal Ahmed, AI Consultant @Google
12:30 to 12:50- Tea Break
12:50 to 1:35- Design a scalable and extensible MLOps solution using ZenML on GCPby Jayesh Sharma, Platform Engineer @ZenML
1:35 to 2:00- Networking

Please fill this form without fail if you want to attend the event: https://forms.gle/84zDY4VSb6kCMmGG7