You want to run AI locally. You have questions: What hardware do I actually need? Which framework should I use? How much will this cost? What's the realistic performance?

In this episode, Sam brings back Trent Rossiter, founder of Logical Data Solutions, for a practical walkthrough of building a production-grade local AI lab. Trent has built real systems for enterprise clients, tested frameworks on multiple hardware stacks, and made the hardware choices that matter. This is not theory. This is what actually works.

WHAT WE COVER:

▪  Hardware & Framework Choices: VRAM is the critical metric (not all VRAM is equal — memory throughput matters as much as capacity). 

▪  Model Architecture & Capability: Mixture of Experts (MoE) lets you fit more power into less VRAM by using fewer active parameters.&nbs ...