LLM-D, with Clayton Coleman and Rob Shaw
Kubernetes Podcast from Google
00:00
Optimizing LLM Deployment on Kubernetes
This chapter examines the nuances of running large language models (LLMs) in Kubernetes, focusing on the unique challenges they present compared to traditional applications. The discussion covers advancements in model architectures, deployment patterns, and the importance of collaboration within the open-source community to streamline resource utilization and deployment efficiency. Additionally, the speakers highlight the significance of performance optimizations and the integration of innovative solutions like the Inference Gateway and VLLM to enhance operational capabilities.
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