Harnessing the Power of AI to Solve Enterprise Challenges with Red Hat and Intel AI Platforms

OVERVIEW

This webinar explores how Red Hat and Intel simplifies Gen AI development and how we can  help enterprises tackle AI challenges with scalable, trusted, and cost-efficient solutions.

Takeaways:

Understanding Enterprise-Grade AI Solutions

• Red Hat's AI platforms (OpenShift AI, Enterprise Linux AI, AI Inference Server) support generative AI, predictive AI, and MLOps, providing a consistent, secure, and flexible foundation for deploying AI across cloud, on-prem, and hybrid infrastructures

How Intel Enhances AI Performance

• Intel’s AI hardware, from AI PCs to data center accelerators like Intel Gaudi and Xeon processors, offers strong price-performance benefits for AI inference tasks and supports various models

Seamless Integration for Real-World Use

• Red Hat and Intel solutions integrate to streamline the AI lifecycle, connecting model developers with high-performance hardware across environments via tools like Red Hat AI Inference Server

Proven Business Value

• Customers using Red Hat and Intel AI platforms have achieved faster AI project deployment, increased data science productivity, lower infrastructure costs, revenue growth, and risk reduction

Real-World Success Story

• Learn from the IBM watsonx case study, showcasing how Intel Gaudi 3 accelerators improved hardware flexibility, performance, and efficiency for Gen AI and LLM workloads

Try Before You Buy

• Customers can apply for a free Gen AI proof of concept to:
  • Fine-tune small language models
  • Optimize inference performance using Intel Gaudi and Xeon hardware with Red Hat software

Please contact Sakshi for more details.

This is co-hosted in partnership with Intel and Red Hat. As a result, both Red Hat and Intel are collecting your personal data when you submit such information as part of the registration process above. For more information on each party's privacy practices, please see: Red Hat's Privacy Statement | Intel's privacy policy