Unlocking Heterogeneous AI Infrastructure K8s Cluster - Leveraging the Power of HAMi
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the challenges and solutions for managing heterogeneous AI infrastructure in Kubernetes clusters through this comprehensive conference talk. Dive into the HAMi project, designed to address the complexities of integrating diverse AI devices like NVIDIA, Intel, and Huawei Ascend. Learn about unified scheduling, observability, and strategies to improve resource utilization of expensive AI hardware. Discover techniques for GPU sharing, ensuring QoS for high-priority tasks, and implementing flexible scheduling policies. Gain insights from real-world case studies and explore integrations with other projects such as Volcano and scheduler-plugin. Understand the current challenges and future roadmap for optimizing heterogeneous AI device management in Kubernetes environments.