The Information AI Agenda Live:
The Next Wave
Sept. 30, 2025, 1PM – 6:30PM ET
3 Times Square, New York, NY
Where AI Leaders, Builders, and Investors Converge
The Information’s AI Agenda Live: The Next Wave will dive into the breakthroughs and big questions defining AI’s future. Conversations will range from new model architectures and reasoning agents to the rise of open source, enterprise adoption, and the future of work.
Attendees will hear directly from the innovators and leaders building and funding these technologies, with opportunities for live Q&A and networking throughout the day.
WEKA is proud to sponsor this event in the heart of New York City on September 30.
WEKA Spotlight: Breaking Through the AI Memory Wall
Don’t miss WEKA Co-Founder & CEO Liran Zvibel’s discussion of how advanced AI agents can overcome GPU memory limits to sustain long-term context, achieve efficient reasoning, and unlock the true economics of AI at scale.
Let’s connect in New York
Join top AI innovators, leaders, and investors for a day of panels, fireside chats, and networking that explores the breakthroughs, risks, and real-world impact of AI.
WEKA Session Catalog
1PM – 6:30PM ET
The AI Memory Crisis: Fireside Chat with Liran Zvibel
The AI industry is rapidly evolving from basic chatbots to advanced agent swarms. AI agents that can think, coordinate multiple tasks, and take actions across extended timeframes with shared memory are the leading edge of manufactured intelligence. However, these agents face a critical bottleneck: the AI memory wall.
The “memory wall” emerges where agentic AI’s core requirement—persistent, long-term context for multi-turn reasoning—collides with GPU memory limitations. Consequently, extended LLM memory (aka Key Value Cache or KV Cache) is now one of AI’s most valuable and in-demand commodities, creating a new framework for token economics and intensifying pricing pressures across the entire AI ecosystem, from individual users to AI model developers to cloud providers. With consumer demand for AI growing exponentially while AI costs skyrocket, breaking through the memory wall is essential so tomorrow’s agents can truly realize AI economies of scale.