Running AI Locally: Why Small Models Matter

Event: June 24, 2026Share
Event Archive
Running AI Locally: Why Small Models Matter
Stuart Shirrell’s June program examined local models, consumer hardware, and the trade-offs behind owning more of your AI workflow.

June 24, 2026 · 200 West, 200 W Capitol Ave, 4th Floor, Little Rock, Arkansas. Original event program

More control over the tools you use

The June event featured technology leader and AI strategist Stuart Shirrell. The session outline focused on smaller, locally run models and the potential for greater privacy, lower costs, and more control over data and workflows. Original event program

A practical starting point

The published agenda included how to run LLMs on consumer hardware, tools and models to get started, and business use cases. Planned demonstrations covered local language models, speech-to-text, text-to-speech, and text-to-image pipelines. These were program topics, not a claim that every demonstration was completed. Original event program

Questions to carry forward

  • Which workloads need to stay close to your own data?

  • What trade-offs in speed, quality, maintenance, and hardware would you accept?

This archive entry summarizes the original event listing. It is not a transcript or an attendance report; the questions above are prompts for continued community conversation.

Good people. Shared possibility.

Our community sponsors

Thank you to Matmon, UA Little Rock, and Arkana Laboratories for supporting AI InTheRock and helping our community keep learning together.

  • Matmon
  • UA Little Rock
  • Arkana Laboratories