Run:ai on Red Hat OpenShift AI helps organizations maximize GPU resources and streamline AI workflows

Red Hat, Inc., the world's leading provider of open source solutions, and Run:ai, the leader in AI optimization and orchestration, today announced a collaboration to bring Run:ai’s resource allocation capabilities to Red Hat OpenShift AI. By streamlining AI operations and optimizing the underlying infrastructure, this collaboration enables enterprises to get the most out of AI resources, maximizing both human- and hardware-driven workflows, on a trusted MLOps platform for building, tuning, deploying and monitoring AI-enabled applications and models at scale.

GPUs are the compute engines driving AI workflows, enabling model training, inference, experimentation and more. These specialized processors, however, can be costly, especially when being used across distributed training jobs and inferencing. Red Hat and Run:ai are working to meet this critical need for GPU resource optimization with Run:ai’s certified OpenShift Operator on Red Hat OpenShift AI, which helps users scale and optimize wherever their AI workloads are located. Run:ai’s cloud-native compute orchestration platform on Red Hat OpenShift AI helps:

• Address GPU scheduling issues for AI workloads with a dedicated workload scheduler to more easily prioritize mission-critical workloads and confirm that sufficient resources are allocated to support those workloads.
• Utilize fractional GPU and monitoring capabilities to dynamically allocate resources according to pre-set priorities and policies and increase infrastructure efficiency.
• Gain improved control and visibility over shared GPU infrastructure to provide easier access and resource allocation across IT, data science and application development teams.

Run:ai’s certified OpenShift Operator is available now. In the future, Red Hat and Run:ai plan to continue building on this collaboration with additional integration capabilities for Run:ai on Red Hat OpenShift AI. This aims to support more seamless customer experiences and further expedite moving AI models into production workflows with even greater consistency.

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• The cloud is hybrid. So is AI. — Tuesday, May 7, 8-10 a.m. MDT (YouTube, LinkedIn)
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Supporting Quotes

Steven Huels, vice president and general manager, AI Business Unit, Red Hat

“Increased adoption of AI and demand for GPUs requires enterprises to optimize their AI platform to get the most out of their operations and infrastructure, no matter where they live on the hybrid cloud. Through our collaboration with Run:ai, we’re enabling organizations to maximize AI workloads at scale without sacrificing the reliability of an AI/ML platform or valuable GPU resources, wherever needed.”

Omri Geller, CEO and founder, Run:ai

“We are excited to partner with Red Hat OpenShift AI to enhance the power and potential of AI operations. By leveraging Red Hat OpenShift’s MLOps strengths with Run:ai’s expertise in AI infrastructure management, we are setting a new standard for enterprise AI, delivering seamless scalability and optimized resource management.”

Additional Resources

• Learn more about AI at Red Hat
• Learn more about Red Hat OpenShift AI
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About Red Hat, Inc.

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. Red Hat helps customers integrate new and existing IT applications, develop cloud-native applications, standardize on our industry-leading operating system, and automate, secure, and manage complex environments. Award-winning support, training, and consulting services make Red Hat a trusted adviser to the Fortune 500. As a strategic partner to cloud providers, system integrators, application vendors, customers, and open source communities, Red Hat can help organizations prepare for the digital future.

About Run:ai

Run:ai is revolutionizing the AI infrastructure landscape with its platform, designed to optimize the efficiency, scalability, and accessibility of AI and machine learning operations. By addressing the challenges of AI infrastructure, Run:ai empowers enterprises to accelerate their AI initiatives and foster innovation.

Forward-Looking Statements

Except for the historical information and discussions contained herein, statements contained in this press release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company’s current assumptions regarding future business and financial performance. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially. Any forward-looking statement in this press release speaks only as of the date on which it is made. Except as required by law, the company assumes no obligation to update or revise any forward-looking statements.

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