<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gemma on SoloSoft</title><link>https://www.solosoft.dev/tags/gemma/</link><description>Recent content in Gemma 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/gemma/index.xml" rel="self" type="application/rss+xml"/><item><title>Gemma.cpp: Google's Lightweight C++ Inference Engine for Gemma Models</title><link>https://www.solosoft.dev/post/gemma-cpp-inference-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/gemma-cpp-inference-2026/</guid><description>&lt;p&gt;The landscape of LLM inference has largely been shaped by two approaches: heavyweight frameworks like PyTorch with full GPU acceleration, or highly optimized but complex engines like llama.cpp that support hundreds of model architectures. &lt;strong&gt;Gemma.cpp&lt;/strong&gt; takes a deliberate third path &amp;ndash; a lightweight, minimal-dependency C++ engine built specifically for Google&amp;rsquo;s Gemma model family, prioritizing code clarity and portability over maximum feature coverage.&lt;/p&gt;
&lt;p&gt;Gemma.cpp is Google&amp;rsquo;s official inference engine for its Gemma open models, designed by the same team that created the models themselves. Rather than being a general-purpose inference framework, Gemma.cpp is laser-focused on running Gemma architectures efficiently on a wide range of hardware, from cloud servers to mobile devices.&lt;/p&gt;</description></item></channel></rss>