Tyler Michael Smith
Chief Architect - Inference Engineering and Member of Technical Staff
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Tyler received a PhD in Computer Science from The University of Texas at Austin, studying high performance dense linear algebra - microkernels, parallelism, and theoretical lower bounds on data movement. Later joined Neural Magic, first working on a graph compiler for sparse neural network inference on CPUs. Now he works on large language model inference in vLLM and llm-d, especially in large scale serving.
