Optimize AI with Powerful Drop-In Acceleration from Intel & Red Hat*
Optimize AI with Powerful Drop-In Acceleration from Intel & Red Hat*
Subscribe Now
Stay in the know on all things CODE. Updates are delivered to your inbox.
Overview
It's no surprise that data-intensive intelligent applications play a key role in helping organizations provide personalized user experiences to stay competitive.
But, it's not easy. These applications often span cloud providers, in-house data centers, and edge devices.
Enter the Intel and Red Hat* partnership, which enables Intel's most popular AI developer optimizations on Red Hat* OpenShift* AI. This cloud service gives data scientists and developers a powerful AI and machine learning platform for building intelligent applications.
This session covers:
- How to use the AI Tools on Red Hat OpenShift AI for great performance and AI opportunities without a complex cloud infrastructure setup
- How Intel and Red Hat partnered to enable Intel's most popular AI developer optimizations on Red Hat OpenShift AI
- The power of drop-in acceleration for popular frameworks (such as TensorFlow* and pandas) while eliminating complex Kubernetes* cloud and infrastructure setup
- The performance and ease-of-use of the AI Tools on Red Hat via a live demonstration
Featured Software
This video features the AI Tools—familiar Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines.