https://llamay.com/blog/ Running language models on hardware you own. en https://llamay.com/blog/inference-bill-is-prefill/ https://llamay.com/blog/inference-bill-is-prefill/ Thu, 17 Sep 2026 00:00:00 +0000 Explainer Most teams price an LLM feature by output tokens and are surprised by the invoice. The prompt is the expensive half, it is usually identical every call, and there is a way to stop paying for it twice. https://llamay.com/blog/run-an-llm-locally/ https://llamay.com/blog/run-an-llm-locally/ Wed, 16 Sep 2026 00:00:00 +0000 How-to Five minutes from nothing to a model answering on your own hardware, plus the sizing table that decides whether you want a 3B, a 7B or a 70B. https://llamay.com/blog/how-to-cut-llm-latency-with-prompt-caching/ https://llamay.com/blog/how-to-cut-llm-latency-with-prompt-caching/ Wed, 16 Sep 2026 00:00:00 +0000 Guide This article explains how prompt caching reduces latency in large language models. https://llamay.com/blog/ollama-vs-llamacpp-vs-llamay/ https://llamay.com/blog/ollama-vs-llamacpp-vs-llamay/ Tue, 15 Sep 2026 00:00:00 +0000 Comparison Three ways to serve a GGUF file on your own hardware, what each one is actually optimising for, and the one capability only one of them has.