<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GGUF on SoloSoft</title><link>https://www.solosoft.dev/tags/gguf/</link><description>Recent content in GGUF on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/gguf/index.xml" rel="self" type="application/rss+xml"/><item><title>llama.cpp: High-Performance LLM Inference on CPU and GPU</title><link>https://www.solosoft.dev/post/llama-cpp-inference-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/llama-cpp-inference-2026/</guid><description>&lt;p&gt;The dream of running powerful language models entirely on your own hardware, without sending data to cloud APIs, was once considered impractical for anyone outside of large tech companies. &lt;strong&gt;llama.cpp&lt;/strong&gt; shattered that assumption. This single-header C++ implementation has become the most popular tool for running LLMs locally, democratizing access to AI computation across virtually every hardware configuration.&lt;/p&gt;
&lt;p&gt;Created by Georgi Gerganov, llama.cpp started as a focused implementation of Meta&amp;rsquo;s Llama architecture and has since grown into a universal inference engine supporting hundreds of model architectures, multiple backends (CPU, CUDA, Metal, ROCm, Vulkan), and a rich ecosystem of tools and integrations.&lt;/p&gt;</description></item></channel></rss>