Webinar

Red Hat AI Enterprise: Any Model, Any Accelerator, Any Cloud

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OVERVIEW

Unifying the Intelligence Lifecycle from Training to Inference

Join us for an exclusive session exploring how Red Hat AI provides a single, unified foundation for the entire intelligence lifecycle.

As organizations scale their AI initiatives, the challenge lies in moving from experimentation to production without compromising security or speed. In this webinar, we break down how Red Hat AI Enterprise (RHAIE) empowers you to operationalize both traditional predictive ML and cutting-edge Generative AI on one secure platform. You will discover how to streamline data preparation, training, and lifecycle management, ensuring your data science workloads are consistent and production-ready across the hybrid cloud.

We will also deep-dive into the Red Hat AI Inference Server (RHAIIS), a high-performance engine designed to take modern generative models to enterprise scale. Learn how RHAIIS leverages industry-leading frameworks like vLLM and llm-d to maximize throughput, orchestrate distributed serving, and optimize the ROI of your GPU hardware.

What You Will Learn

  • Unified Lifecycle Management: How to manage both predictive ML and GenAI workloads on a single, secure platform using RHAIE
  • Seamless Scalability: Strategies to take models from pilot to production using the high-performance Red Hat AI Inference Server (RHAIIS)
  • Optimized Inference Architecture: How to leverage vLLM for single-node serving and llm-d for distributed orchestration to maximize GPU efficiency
  • Hybrid Cloud Governance: Best practices for maintaining full control over your data and infrastructure while innovating across any environment

Any questions? Please contact Elisa Navarro.

Steve Shirkey

Steve Shirkey

Director, AI Platform Leader , Red Hat

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Steve Shirkey drives AI strategy and execution across APAC using hybrid cloud and open-source technologies. Previously, he led Azure AI adoption at Microsoft in ANZ, Southeast Asia, and Korea, and scaled deep learning adoption at AWS in Southeast Asia. With over 20 years’ experience in AI, cloud, and data, Steve helps enterprises achieve digital transformation and operationalize AI solutions. He has partnered with global industry leaders across financial services, manufacturing, and cloud platforms to transform data into actionable insights and scalable AI-driven innovation.