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After a year of self-hosting LLMs, I realized the real bottleneck isn’t the GPU

XDA·Yash Patel·27 days ago
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Published May 6, 2026, 7:00 PM EDT Beginning his professional journey in the tech industry in 2018, Yash spent over three years as a Software Engineer. After that, he shifted his focus to empowering readers through informative and engaging content on his tech blog – DiGiTAL BiRYANi . He has also published tech articles for MakeTechEasier . He loves to explore new tech gadgets and platforms.  When he is not writing, you’ll find him exploring food. He is known as Digital Chef Yash among his readers because of his love for Technology and Food. For the past year, I’ve been running my own local LLM setup, hoping it would make my work faster and more efficient. And in many ways, it did; but not for the reasons I expected. I went in thinking better hardware would unlock better results. More VRAM, faster inference, bigger models. But over time, I realized something was off. Despite having a solid setup, my day-to-day productivity didn’t improve as much as it should have.…

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