LLM inference can be huge, particularly, with long contexts. In this on-demand video, Junchen Jiang, Assistant Professor at University of Chicago, presents a 10x solution for long contexts inference: an easy-to-deploy stack over multiple vLLM engines with tailored KV-cache backend.
LLM inference can be huge, particularly, with long contexts. In this on-demand video, Junchen Jiang, Assistant Professor at University of Chicago, presents a 10x solution for long contexts inference: an easy-to-deploy stack over multiple vLLM engines with tailored KV-cache backend.
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Videos
In this talk, Bin Fan, VP of Technology at Alluxio, explores how to enable efficient data access across distributed GPU infrastructure, achieving low-latency performance for feature stores and RAG workloads.