Daytona CEO Ivan Burazin discusses the company's pivot from developer environments to composable computers for AI agents. He explains the unique infrastructure challenges posed by spiky RL and eval workloads, Daytona's bare-metal architecture with a custom scheduler for high performance, and the future need for stateful Windows and macOS sandboxes to automate knowledge work.
Co-founders of Trigger.dev discuss their journey through three product versions to find product-market fit, how their async infrastructure positioned them perfectly for the AI agent era, and their vision for the future of computing: programmatic checkpoint and restore.
Filip Makraduli from Superlinked discusses the common infrastructure gaps and profiling mistakes encountered when deploying small embedding and transformer models. He introduces the Superlinked Inference Engine (SIE), an open-source solution designed for dynamic model loading, hot-swapping, and memory-aware eviction to maximize GPU utilization and streamline the path from development to production.
Malte Ubl, CTO of Vercel, posits that AI engineering is the successor to web development, arguing that AI agents will expand, not shrink, the software market. He explores practical agent archetypes being built today and discusses the profound shift required in infrastructure and security as agents become both the builders and primary users of software, concluding that the true innovation and value will lie in the application layer built by AI engineers, independent of the commoditizing foundational models.
Jeetu Patel, President and CPO at Cisco, shares his frameworks for transforming a 90,000-person company to be AI-first, building great companies, and leading at scale. He discusses Cisco's critical role in the AI infrastructure buildout, the necessity of AI for humanity's future, and his counterintuitive principles on communication and strategy.
David George of a16z analyzes the AI market, revealing that AI companies grow 2.5x faster than SaaS counterparts with lower sales spend, driven by immense market pull. He discusses the rise of 'Model Busters' that defy growth expectations, the critical 'adapt or die' moment for incumbents, and the massive, fundamentally sound infrastructure buildout, highlighting that we are still in the early innings of a major technological cycle.