Run LLMs on Consumer GPUs in Production (2026 Guide)

Serving a Live LLM From My Home Office: What Local Inference in Production Actually Looks Like I run a public LLM inference endpoint out of my home office. Right now, Llama 3.1 8B is loaded into an RTX 5070 Ti, quantized to Q4_K_M, serving streaming responses with real latency metrics. You can hit it on the lab page . This isn't a tutorial assembled from docs. It's what I actually did, what broke, and when running local inference is worth the trouble. Why Local Inference at All The obvious question: why not just call the OpenAI API? Three reasons that actually matter: Cost at volume. For a business running thousands of LLM calls per day, API costs add up fast. A 7B or 8B local model handles a huge class of tasks — classification, extraction, summarization, short-form generation — at near-zero marginal cost after the hardware purchase. Data privacy. If you're building something for healthcare, legal, or finance, sending data to a third-party API is a compliance risk. Local inference kee