Azul CEO Scott Sellers at AI Infra Summit: AI Doesn’t Replace Your Systems — It Amplifies the Pressure on Them

Cost, performance, security, modernization, code velocity and DevOps productivity all converge on the Java application runtime

SUNNYVALE, Calif.--(BUSINESS WIRE)--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 (LLMs) — 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.

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.

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

FAQs

Why do enterprise AI projects cost more in production than expected?

Production AI deployments average 380% over pilot-stage cost projections, largely from infrastructure, not the models themselves. Much of that runs through the Java Virtual Machine (JVM) beneath enterprise applications. Azul Prime, an optimized JVM, runs the same workloads on fewer cloud instances with no code changes.

Why is patch speed suddenly urgent for AI-era security?

AI has collapsed the exploitation window: attackers weaponize critical vulnerabilities in under five days of disclosure, while the median enterprise takes 43 days to remediate one — up from 32 days a year earlier. Azul Core delivers stabilized patches faster than bundled release cycles, closing that gap without a full version upgrade.

Is AI-generated code a security risk?

Yes: AI-generated code now causes roughly one in five enterprise security breaches. Codegen tools are shipping code faster than security review, testing and the runtime layer beneath it can absorb. Azul Core keeps the Java runtime patched on an independent, faster cadence, so security can keep pace with AI-accelerated development.

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. Learn more at azul.com and follow @azulsystems.​