Expert guidance on choosing hardware for local LLMs. Avoid costly mistakes in GPU selection, memory sizing, and model compatibility.
View Advisory ServicesThe Challenge
Most teams waste thousands on wrong configurations because benchmarks don't tell the whole story.
Mac Studio, NVIDIA GPUs, cloud credits. Wrong choices mean thousands burned and weeks of rework.
That 128k context model won't fit in 64GB RAM at production quality. Benchmarks rarely show real-world limits.
Many local models claim function calling but fail on real agent workflows. You won't know until you've committed.
Services
Three ways to get certainty before you invest.
Track Record
Ideal For
Technical leaders who need local inference but lack specialized ML infrastructure expertise.