Azul, the trusted leader in enterprise Java for today's AI-first world, today announced that co-founder and CEO, Scott Sellers, will present at AI Infra Summit 2026 on why optimized application infrastructure — not just GPUs and large language models — determines whether enterprise AI investments scale. Sellers calls it the Ferrari problem: AI models run on GPUs, but LLM calls, retrieval-augmented generation and agentic workflows execute against the Java systems beneath them — Kafka, Spark, Cassandra, Trino. Agentic work can multiply internal traffic 10–100x, and Gartner expects 40% of enterprise applications to embed task-specific agents by year-end 2026.
Azul CEO Scott Sellers to present at AI Infra Summit 2026
Session: "Why Optimized Application Infrastructure Can Scale Your AI Investments"
Six pressures converge on the runtime: cost, performance, security, modernization, code velocity, DevOps productivity
Production AI deployments average 380% over pilot-stage cost projections
Median enterprise takes 43 days to remediate critical vulnerabilities
Azul powers mission-critical systems for 37% of the Fortune 100
Sellers ties six pressures — cost, performance, security, modernization, code velocity and DevOps productivity — to pains enterprises feel today: ballooning cloud bills, slow patching, code outpacing the teams maintaining it. All six converge on one layer: the runtime.
Session Details:
WHAT: "Why Optimized Application Infrastructure (not just GPUs and LLMs) Can Scale Your AI Investments"
WHO: Scott Sellers, co-Founder & CEO, Azul
WHEN: Wednesday, Sept. 16, 2026, 4:50–5:10 p.m. PT
WHERE: Data & Models track, Santa Clara Convention Center, Santa Clara, Calif.
EVENT: AI Infra Summit 2026, Sept. 15–17
About Azul
Azul is the trusted leader in enterprise Java for today's AI-first world. Its open source-based Java platform empowers organizations to optimize the entire Java lifecycle to accelerate performance, strengthen security, reduce licensing and cloud costs, and boost developer productivity. Azul powers mission-critical systems for 37% of the Fortune 100, 50% of the Forbes Top Ten World's Most Valuable Brands, and the world's top 10 financial trading companies.
