Cloud Native Sustainable LLM Inference in Action

Explore sustainable Large Language Models (LLM) inference using cloud-native technologies in this comprehensive tutorial. Delve into LLMs, energy consumption, and Kepler's role in monitoring power during LLM workloads. Discover how to balance environmental sustainability with technological efficiency by leveraging AI accelerator frequency adjustments in Cloud Native tech for optimized LLM inference. Witness a live demonstration of vLLM, an advanced inference framework, and observe the fine-tuning of AI accelerator settings in a Kubernetes cluster to achieve an ideal power-computation balance. Gain valuable insights into the future of eco-friendly cloud computing, whether you're a developer, IT specialist, or sustainability advocate. Position yourself at the forefront of this significant technological evolution and learn how to integrate environmental sustainability with cloud-native technology solutions.

Tutorial: Cloud Native Sustainable LLM Inference in Action