Speaker

Vaibhav Jain

Vaibhav Jain

Red Hat, Senior Software Engineer

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I have over 12 years of experience in the software industry. My most recent field of interest is AI/ML. I am an active contributor in the AI/ML Open Source community such as KServe & OpenDataHub. My more dedicated efforts are towards the RHODS(RedHat DataScience) ModelServing component. I also have experience in the development of Managed cloud based applications using technologies such as Java, Go, Kubernetes, Operator-sdk, Spring boot, Hibernate, Micro services. I also have experience in requirement gathering, design, development, and deployment of software products on k8s. I worked in agile methodology across Business Automation, Aviation, Computer-Telephony integration, and the financial domain.

Area of Expertise

  • Information & Communications Technology

Choosing the right AI Model deployment approach for your environment

Join this talk as we walk through different scenarios, including the use of Large Language Models (LLMs), to help you choose whether to deploy a single model or multiple models to a server - capabilities you can use today with Red Hat OpenShift Data Science. We’ll compare both Model Mesh and single Model Serving deployment options including their use of resources, performance needs, and capabilities as well as go through customer adoption examples as well as upcoming capabilities to help you choose the best approach for your use case.

Vaibhav Jain

Red Hat, Senior Software Engineer

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