Optimize, deploy, and benchmark an open-source LLM with vLLM
DeepLearning.AI and Red Hat launch a course on efficient open-source LLM inference using vLLM.
“The techniques you learn in this course are what power efficient LM serving in production today.”
DeepLearning.AI announced a course, built with Red Hat and taught by Sergey Kliger, on optimizing, deploying, and benchmarking open-source LLMs with vLLM, covering quantization, paged attention, and prefix caching. It is educational content rather than a major industry announcement, useful for practitioners but a minor signal overall.