Episode 13: AI Cloud Essentials Podcast
What does it take to turn a viral AI moment into a production-ready business? In this episode of AI Cloud Essentials, host Ritu Jyoti speaks with Jake Rothman, Head of Go-To-Market and Partnerships at Decart AI, about the infrastructure decisions that enabled Decart to rapidly scale from research breakthroughs to commercial AI applications.
Jake shares how Decart evolved from building Oasis One, a prompt-generated world model, to delivering real-time AI experiences that require sub-40 millisecond latency. The conversation explores why AI-native cloud infrastructure, burst GPU capacity, and infrastructure optimization have become competitive advantages—not just engineering decisions—for companies bringing AI products to market.
Whether you’re building AI applications, leading infrastructure strategy, or scaling go-to-market efforts, this episode offers practical lessons on performance, customer adoption, and preparing for the next generation of AI workloads.
What You’ll Learn
- Why sub-40 millisecond latency is critical for real-time AI experiences
- How AI-native cloud infrastructure enables rapid scaling during demand spikes
- The customer-first GTM strategy Decart uses to expand adoption
- Why GPU optimization should be treated as a product capability rather than simply a cost-saving exercise
- How world models are shaping the future of physical AI and robotics
Podcast Guest:
Jake Rothman, Head of Go-To-Market and Partnerships, Decart AI
