I squeezed my iGPU dry, then added an eGPU — a GPU buying guide for AI on mini PCs
The article discusses the author's experience upgrading their mini PC's graphics capabilities for AI tasks. It details the limitations of integrated graphics and the decision to add an external GPU, specifically the RTX 5060 Ti 16GB. The guide includes insights on hardware selection and performance considerations for AI workloads.
- ▪The author faced limitations with their integrated GPU while running local AI models.
- ▪They chose to upgrade to an external GPU using OCuLink and the RTX 5060 Ti 16GB for better performance.
- ▪The article provides a comparison of various GPU models and their suitability for AI tasks.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3921069) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } keeper Posted on May 17 I squeezed my iGPU dry, then added an eGPU — a GPU buying guide for AI on mini PCs #ai #llm #machinelearning #hardware Last month, I hit a wall with my local LLM setup. Here's the full story — from software optimization to OCuLink eGPU to picking the right RTX 5060 Ti 16GB, with real pricing and brand teardown data. Not a review. A decision log. The problem My machine — call it T2 — is a Minisforum AI X1 Pro (AMD Ryzen AI 9 HX 370, 96GB RAM).
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
