Ketan Umare, Union.ai | AWS re:Invent 2025

In this interview from AWS re:Invent 2025, Ketan Umare, chief executive officer and co-founder of Union.ai, joins theCUBE’s Dave Vellante to discuss the fundamental shift in software economics driven by generative AI. Umare explains why traditional CI/CD pipelines are insufficient for non-deterministic, stochastic AI models, drawing on his experience building massive ML platforms at Lyft. The conversation highlights the unique challenges of modern AI development, where research becomes an intrinsic part of the software lifecycle, requiring a workflow that supports rapid experimentation and "co-opetition" between different model versions before reaching production.

Umare details how Union.ai leverages Flyte to abstract the complex "goo" of infrastructure management – including security, containerization and intricate GPU scheduling – allowing engineers to focus purely on Python code. He outlines Union.ai’s hybrid and multi-cloud architecture, which ensures data sovereignty by keeping the data plane within the customer's environment while utilizing a centralized control plane on AWS. The discussion also covers strategies for maximizing compute efficiency through resource pooling and the company's capital-efficient growth, emphasizing how they enable enterprises to transition from simulation to production with speed, observability and compliance.

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00:00 - From Vision to Innovation: A New Era in Software Economics
04:14 - The Impact of Generative AI
06:37 - Facilitating AI Development and Deployment
09:53 - Flyte and the Union Platform
12:12 - Multi-Cloud and On-Prem Solutions
15:09 - Simplifying AI Engineering
19:14 - Strategies for Cost-Effective Growth and Research: Insights and Reflections

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