Red Hat, Inc. announced a collaboration with Run:ai, a leader in AI optimization and orchestration, to bring Run:ai’s resource allocation capabilities to Red Hat OpenShift AI. By facilitating artificial intelligence operations and optimizing the basic infrastructure, the cooperation of artificial intelligence operations, the use of the artificial intelligence resources in the best way, both human and equipped focused on both human beings ± maximize and have a reliable MLOps platform to build, tune, deploy and monitor AI-enabled applications and models at scale healthy tiring.
GPUs are computing engines that drive AI workflows, enabling model training, inference, experimentation, and more. However, these specialized processors can be costly, especially when used in distributed training jobs and inferences. Red Hat and Run:ai deliver GPU resource with Run:ai’s certified OpenShift Operator on Red Hat OpenShift AI, which helps users scale AI workloads wherever they are is working to meet this critical need for optimization. Additionally, Run:ai’s cloud-native computing orchestration platform on Red Hat OpenShift AI helps:
- A custom workload scheduler to more easily prioritize mission-critical workloads and verify that sufficient resources are allocated to support those workloads with GPU timing issues disappear in AI workloads.
- To dynamically allocate resources according to predetermined priorities and policies and increase infrastructure efficiency Taking advantage of fractional GPU and tracking features.
- Shared between IT, data science, and application development teams to enable easier access and resource allocation Improved control and visibility over the GPU infrastructure is achieved.
Run:ai’s certified OpenShift Operator is now available. 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. In this way, it is aimed to support more seamless customer experiences and accelerate the introduction of artificial intelligence models into production workflows with greater consistency.
Steven Huels, executive vice president and general manager, Red Hat AI Business Unit, on the subject: “An available, useful and flexible artificial intelligence platform is vital for organizations that want to get the most out of their operations and infrastructure, regardless of where they are in the hybrid cloud.” tiring. Through our collaboration with Run:ai, organizations can maximize AI workloads wherever they are needed, without sacrificing AI/ML platform reliability or valuable GPU resources. “We are ensuring that,” he said. .
Omri Geller, CEO and Founder of Run:ai said, “We are excited to partner with Red Hat OpenShift AI to increase the power and potential of AI operations. By combining the MLOps power of Red Hat OpenShift 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. € said.
