Gemma vs Mistral vs LLaMA: CPU Benchmarks for Ops Automation
[IMAGE: Bar chart showing LLaMA CPU inference performance against Mistral and Gemma]
[IMAGE: Bar chart showing LLaMA CPU inference performance against Mistral and Gemma]
This guide covers the full path for senior DevOps and platform engineers: why on-prem, how to get Ollama working through corporate proxies (including Docker), how to do a strict offline transfer for a
[IMAGE: Split screen showing Ollama CLI interface and LM Studio GUI for comparison]
Most LLM content is written for developers building chatbots. Meanwhile, the people who arguably benefit most from a locally hosted model — sysadmins and infrastructure engineers drowning in logs, YAM
You don’t need a $2,000 graphics card to run a local LLM. If you manage Linux infrastructure, there’s a good chance you already have spare compute sitting in a rack or a VM cluster that can serve a qu