After 17 years of running web hosting services in one form or another, Rasberry™ is the next evolution of that work: a cleaner platform, a better customer experience, and a more focused foundation for what comes next.
I’ve built and run the infrastructure myself, backed by the same proven track record that has kept my hosting services online for the past 17 years.
The first public offering is Ubuntu VPS hosting in Canada, with static IPs included and more services planned as the platform grows.
This is not my first step into hosting, it’s the start of Rasberry™ becoming its own modern hosting platform!
This release builds on the foundation of v1.0 with a focus on making the system easier to operate, understand, and use every day.
Better Runtime Visibility
v1.1 improves visibility into what is actually happening behind your local AI stack. Runtime information, active processes, logs, GPU activity, and model status are easier to understand at a glance.
The goal remains simple: serious local inference starts with the hardware, and that hardware should be a first-class part of the experience.
Improved Benchmarks
The benchmark experience has been refined to make testing and comparing local models more practical, with a cleaner interface and improved usability across different screen sizes.
UI/UX Improvements and Polish
A broad round of interface improvements, usability fixes, and general polish has gone into v1.1, tightening up the experience across LLM Controller without changing what already worked.
LLM Controller CE is continuing to evolve as a self-hosted, local-first control layer for running and understanding local AI.
After more than 16 months of development, I'm excited to finally release LLM Controller Community Edition (CE) v1.0 as open-source software.
LLM Controller CE is a self-hosted, local-first web application for running and managing GGUF language models through llama-server It combines conversations, model management, runtime control, benchmarking, GPU monitoring, live logs, installation, and administration into a single browser interface.
The goal was never to build just another chat interface. I wanted local AI to feel like a complete product that you can install, manage, and use on hardware you control.
LLM Controller CE has been validated on both Windows and Ubuntu Linux, supports NVIDIA and AMD GPU environments where compatible tooling is available, and is released under the GPLv3 open-source license.
This has been one of the largest software projects I've built, and I'm incredibly happy to finally share it.
