Alessandro Di Stefano

Accelerate reproducible inference experiments for large language models with LLM-D! This lab automates the setup of a complete evaluation environment on OpenShift/OKD: GPU worker pools, core operators, observability, traffic control, and ready-to-run example workloads.

OSTree-native container configs for a custom Fedora Kinoite for personal use

Repeatable LLM inference benchmarks for OpenShift.

Achieve state of the art inference performance with modern accelerators on Kubernetes