Presents
WHAT WE WILL DISCUSS
AI-native startups are in a race to turn intelligent features into production-ready products. But that journey is often blocked by GPU gridlock, unpredictable inference times, and dependency on external APIs. In the age of autonomous agents and LLM-based applications, developer velocity is everything—and owning your AI stack can be the difference between scaling smart and stalling out.
This executive dinner brings together technical founders, CTOs, and AI leaders at fast-scaling startups to explore what it takes to move from prototype to production—without compromising on performance or flexibility. We’ll unpack how emerging players are leveraging next-gen infrastructure to fine-tune open-source models, deploy agentic workflows at scale, and stay ahead of competitors reliant on public cloud bottlenecks.
We’ll also examine how technologies like Model Context Protocol (MCP) are enabling more efficient agent orchestration—by improving context management, routing, and stateful execution across multi-agent systems.
Discussion Highlights:
- From demo to deployment: Real-world examples of coding agents driving core product features.
- Extreme inference performance: Why speed matters more than ever for agent orchestration.
- Owning the stack: Lessons from teams building on cloud-native LLM infrastructure (like SambaNova Cloud).
- Beyond ChatGPT: How startups like Parasail and Blackbox are customizing open models to automate internal ops and accelerate releases.
- MCP in action: How emerging agent protocols like MCP are powering more intelligent, adaptive workflows.
- Defensibility through infrastructure: Building a stack that scales with you—not against you.
Who Should Attend:
Founders, CTOs, VPs of Engineering, and Heads of AI/ML at Series A–C startups with AI-native products and deep technical teams looking to scale agent-based applications with speed and strategic control.
AGENDA
6:00 PM – 6:15 PM
Welcome
6:15 PM – 7:00 PM
Roundtable Discussion
7:00 PM – 8:00 PM
Dinner
8:00 PM – 8:20 PM
Networking
8:20 PM – 8:30 PM
Closing
SOLUTION EXPERTS
Harry Ault
Chief Revenue Officer at SambaNova Systems
As Chief Revenue Officer, Harry brings more than 20 years of both systems and software GTM expertise building high performance global sales teams. At Broadcom, he led the Server and Storage Division to results well above the annual plan, and most recently at Datastax, Harry was instrumental in the execution of their Generative AI strategy which has taken the company to record new logo, ARR growth rates, partner success, and industry recognition.
He has a passion for open source, generative AI, and enabling changemakers of the world to build transformative applications and products.
Anton McGonnell
VP Product Marketing at SambaNova Systems
Anton McGonnell is SambaNova’s Head of SW Products and leads the team defining their cutting-edge full-stack chips-to-model platform. Prior to SambaNova, Anton played a pivotal role in shaping the development and implementation of advanced machine learning technologies at UIPath. Anton received his Bachelor’s in Computer Science from Queens University in Belfast and his M.B.A. from Harvard Business School.
Annie Shea Weckesser
CMO at SambaNova Systems
As Chief Marketing Officer, Annie leads the marketing and communications team responsible for building reputation, engagement, and demand across the globe. Prior to this role, Annie spent more than 5 years as the CMO of Enterprise AI Company, Uniphore. Before joining Uniphore, Annie was part of the leadership team at NIO, a next generation car company, leading US marketing and communications from startup through a successful IPO.
Previously, Annie held various strategic communications and marketing roles for the global technology giant Cisco for nine years. Throughout her career, she has counseled and partnered with some of the world’s most senior corporate and government leaders and their teams. She has a passion for building companies, great spaces, and achieving incredible things with stellar teams.