@technicallylegare
Open-source engineer at Red Hat focused on accessible AI and efficient LLM deployment.
Legare Kerrison makes large language models cheaper and easier to run. As an open-source engineer and developer advocate on Red Hatβs AI team, she builds tools for deploying artificial intelligence efficiently.
Her work centers on breaking down AI barriers. She regularly covers how to optimize LLM inference with vLLM to cut GPU costs, alongside approaches for tuning foundation models on consumer-grade hardware using InstructLab. Her priority is making technical complexity digestible.
Based in Boston, Legare is a tree hugger and an avid matcha fan.
Videos
Fast, Cheap, and Accurate: Optimizing LLM Inference with vLLM and Quantization
Legare Kerrison +1
World Congress North America Β· 2026
Unlocking the Power of AI: Accessible Language Model Tuning for All
World Congress Β· 2024