Security Guardrails and Distributed Inferencing for AI workloads

RSVP HERE:

https://reg.experiences.redhat.com/flow/redhat/3708021/redhatfieldeventsprereg/page/landingregistrationpage?sc_cid=RHCTN1260000477026

Moving AI from pilot to production requires a strong security foundation.

Don’t miss the upcoming Red Hat User Group on April 29 to explore practical architectures for Securing Enterprise AI from Pilot to Production. This talk is essential for architects, platform engineers, and security teams.

We will cover:

• Optimizing High-Performance Inferencing: Go deep into the engineering requirements for deploying models at scale. Discuss strategies for minimizing latency, managing GPU/vLLM orchestration, and implementing cost-effective inferencing patterns that maintain high throughput for real-time applications.
• Engineering Autonomous Agents & Tool Use: Transition from static chatbots to dynamic, agentic AI systems.
• Hardening the AI Production Stack: Gain hands-on insights into defending the LLM lifecycle. From securing the inferencing endpoint to mitigating prompt injection and data leakage, learn the technical strategies necessary to move AI from a "lab experiment" to a secure, production-ready service.

Presenters:
Prasanna Sivaramakrishnan, Principal Solutions Architect, Red Hat
Eric Ji, Senior Solutions Architect, F5 Networks

Join us at F5 Networks in San Jose on April 29 from 5:00 PM to 6:30 PM PT.

Spaces are limited. Secure your spot today

Your RHUG Team