Webinar: How to maximize infrastructure ROI for AI/ML Workloads

The AI/ML industry is currently facing a significant challenge, as the number of available tools and deployment options have skyrocketed. It’s not always clear where you should run your training and inference workloads. Companies are struggling to determine the best path to increase infrastructure utilization and reduce overall operational and compute costs.

Join our panelists for an insightful discussion on

How can you maximize the utilization of your compute/GPU resources

What are your platform options if you want to run AI/ML on-premises due to compliance and governance reasons

How to abstract the cloud native infrastructure and operational complexity from your data scientists and AI/ML model creators

What are the use cases for running training in the public cloud and inference on-premises or on the edge, and vice versa

Register for the webinar

Learn from industry experts

Join Platform9, Union.ai and Run.ai as they share their real-world experiences of the AI/ML Industry

Haytham Abuelfutuh

Co-founder and CTO,
Union.ai

Haytham is also the Co-founder and maintainer of the Flyte Open Source Project. He has gained experience in building distributed systems and cloud-native solutions through his tenure at Microsoft, Google, and Lyft.

Gijsbert Jassen Van Doorn

Director of Technical Product Marketing, Run.ai

Gijsbert has over two decades of experience in the IT industry, and has worked with companies like Bouwfonds, Yacht, Tauw bv, and Technica Groep. Gijsbert’s most recent role is as the Director Technical Product Marketing at Run.AI.

Chris Jones(Host)

Head of Business Development,
Platform9

Chris has over 13 years of experience in technology and product management. At Platform9, he leverages his expertise to deliver elegant solutions that bridge the gap between evolving technology and user needs.