AI: From Concept to Enterprise Deployment
Generative AI is a catalyst for organizational transformation. While proving its value in the lab is a vital first step, scaling AI across an entire enterprise brings unique challenges. These include seamless integration with existing data sources, stringent data privacy and security requirements, delivering high performance, and managing a complex, large-scale runtime environment. Scalability is a key concern, as AI models need to process massive and growing volumes of data while supporting diverse use cases—all without compromising on performance or reliability.
Vespa has been wrestling with these challenges since 2011—long before AI hit the mainstream. Originally developed to address Yahoo’s large-scale requirements, where today, Vespa runs 150 applications integral to the company’s operations. These applications deliver personalized content across Yahoo in real-time and manage targeted advertisements within one of the world’s largest ad exchanges. Collectively, these applications serve an impressive user base of nearly one billion individuals, processing 800,000 queries per second.