The AI Inference Economy

AI Inference Economy @ Brazil — GPU Access and the Real Cost of Inference A private, in-person evening at Oracle for early-stage technical founders building AI products. A short, direct conversation about the least glamorous part of building with AI: getting compute, understanding what it actually costs, and making architecture decisions knowing that inference economics can kill a product long before it finds product-market fit. Capacity is limited to 30 founders.Applications are required. Agenda Who This Is For This evening is for early-stage founders and technical leads who: The Theme "You have the money and still can't get the GPU." People have been saying that in San Francisco for months now, and it's started showing up here. The shortage stopped being general and became specific. The bottleneck now sits in top-end parts, where advanced packaging and high-bandwidth memory are the gating input, and hyperscalers pre-committed to that supply years in advance. Power has become a harder constraint than silicon: a cluster's timeline is now set by its grid interconnection date, not by chip delivery. On the other side of the same equation sits inference. Plenty of teams ship the product, put it in production, and only then discover that cost per call eats the entire margin. Running that math beforehand is not trivial, and almost nobody talks about it publicly. So that's the conversation. Small room, people who've already run into this, no pitching. ​Hosts *By registering, you agree to share your data with Canastra Ventures, sponsors and our partners. Additionally, by registering, you authorize us to send you the latest news, company announcements, and other communications from Canastra Ventures and partners.