top of page


Why Owning GPUs Isn’t Enough to Serve AI | AIEEV Developer Kitae Yoo
There is a GPU in the development workstation, and another one in the lab server. The edge box at a branch office may have an accelerator in it too. But the moment you try to load a model, the story changes. The driver version may not match, the SDK you need may be missing, or a network restriction may block access from outside. The hardware is right there, and yet the service cannot use it. Kitae Yoo of the AIEEV Dev Team builds the distributed infrastructure that connects
Sep 16


"The Fastest Way to Learn a Company's Tech? Contribute to Open Source" — AIEEV's Jinbeom Kim
A Story from AIEEV Dev Team's Jinbeom Kim Contributing to open source does not automatically make you a better engineer. The skill only sticks once you reproduce the problem, trace the code's flow and the reasoning behind its design, and organize the process so someone else can follow it too. Jinbeom Kim of the AIEEV Dev Team has lived out this process firsthand. On July 4th, he gave his first community talk at AWS Student Community Day 2026's Career track, titled "The Fastes
Aug 25
bottom of page
