Red Hat, the leading provider of open-source solutions, has recently announced the launch of Red Hat Enterprise Linux for Artificial Intelligence (RHEL AI) to help enterprises accelerate the development and deployment of AI applications. This new offering is designed to provide a stable and scalable platform for building and running AI workloads, enabling organizations to harness the power of AI to drive innovation and growth.
With the rapid advancement of AI technologies, more and more companies are looking to incorporate AI into their business processes to gain a competitive edge. However, building and deploying AI applications can be complex and challenging, requiring specialized tools and expertise. Red Hat’s RHEL AI aims to simplify this process by providing a comprehensive platform that integrates popular AI frameworks, libraries, and tools into a single package.
One of the key features of RHEL AI is its support for popular AI frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as libraries like NumPy, pandas, and Matplotlib. This allows data scientists and developers to easily build and deploy AI models without having to worry about compatibility issues or complex setup procedures. In addition, RHEL AI also includes pre-built containers for deploying AI applications in a variety of environments, including on-premises, in the cloud, or at the edge.
Furthermore, RHEL AI leverages Red Hat’s expertise in enterprise-grade solutions to provide a secure and stable platform for running mission-critical AI workloads. With features like built-in security controls, performance monitoring, and automated updates, organizations can trust that their AI applications will run reliably and efficiently on RHEL AI. Additionally, Red Hat offers comprehensive support and services to help customers optimize their AI deployments and address any technical challenges they may encounter.
In a statement announcing the launch of RHEL AI, Stefanie Chiras, senior vice president of Red Hat’s Subscription Business Unit, highlighted the importance of providing a robust and scalable platform for enterprises looking to adopt AI technologies. “As AI adoption accelerates, organizations need a reliable and flexible platform that can support their AI initiatives at every stage of the development and deployment process,” said Chiras. “RHEL AI is designed to meet these needs, providing a stable and secure foundation for building and running AI applications in enterprise environments.”
Overall, Red Hat’s RHEL AI represents a significant step forward in the company’s efforts to support enterprise AI initiatives and empower organizations to harness the full potential of AI technologies. By providing a comprehensive platform that simplifies the development and deployment of AI applications, Red Hat is helping customers accelerate their AI transformation journey and drive innovation across their businesses.