Webinar

Beyond Generic LLMs: Customization & Optimization Techniques with RHEL AI & OpenShift AI

Large Language Models (LLMs) have revolutionized AI-driven applications, but they come with significant challenges—high computational costs, inefficiencies in domain-specific tasks, lack of real-time adaptability, and ethical and compliance risks. Off-the-shelf models often fail to align with enterprise needs, requiring customization and optimization to ensure relevance, efficiency, and responsible AI adoption.

In this webinar, we will explore why fine-tuning and optimizing LLMs are crucial for businesses and how Red Hat AI solutions—RHEL AI and OpenShift AI—empower organizations to train, deploy, and scale AI models efficiently.

Key topics include:

  • Challenges with generic LLMs – Why pre-trained models are not enough for real-world enterprise applications
  • Customization with fine-tuning – AI Model Customization Steps and Lifecycle
  • Optimization strategies – Techniques to leverage optimization to improve inference speed and reduce costs
  • Why Red Hat AI solutions ? – How RHEL AI & Openshift AI provides a platform for customization and Optimization techniques for LLM’s and how they differ from other providers.

Through a demonstration, we will showcase how enterprises across industries can successfully adopt Red Hat AI Solutions (RHEL AI + Openshift AI) to build high-performance, enterprise-grade AI solutions while maintaining control over security, compliance, and costs.

Any questions? Please Sylvia A.


Viral Gohel

Viral Gohel

Senior Technical Account Manager, Red Hat

Viral Gohel is an IT professional with extensive expertise in OpenShift, Kubernetes, Red Hat Middleware, and OpenShift AI. With a strong background in cloud-native architectures, DevOps, he works closely with enterprise customers to optimize OpenShift environments, drive automation, and enable AI-powered workloads.

Beyond advisory roles, he has actively contributed to open-source communities, fixing issues and improving code in projects related to OpenShift, Kubernetes, and Red Hat Middleware. As a passionate speaker and knowledge advocate, Viral Gohel presents at events, sharing insights on scalability, openshift, adoption, and best practices for modern application platforms.

Committed to driving innovation and operational excellence, he continues to bridge the gap between customers, open-source communities, and Red Hat technologies, ensuring successful digital transformations.

Monika Gugnani

Monika Gugnani

Technical Account Manager, Red Hat

Monika is an IT professional with more than 20 years of experience in Linux and open source technologies. An Open Source enthusiast and an expert in advocating the requirements of automation and containerization technologies on hybrid cloud environments to enterprise customers in achieving better ROI and business demands.

Monika, in her current role, as Technical Account Manager, is a technical advisor to the IT customers and helps streamline deployments, resolve issues, and strategically plan for the future in Red Hat Openshift. She has deep technical knowledge and develops a personal relationship to drive performance and growth, and proactively ensure a stable and secure product experience.

She has certifications in RHEL, RHEL Automation,Red Hat Openshift and Middleware technologies.