Welcome to the BoxGPT Blog
What you can expect from the BoxGPT blog — deep dives on local AI, hardware benchmarks, model comparisons, and product updates you can actually use.
We built BoxGPT because we believe the most useful AI is the one that runs on your hardware — not someone else's server farm. The blog is where we'll show the work: real benchmarks on real machines, model comparisons without marketing spin, and setup tips you won't find in a vendor whitepaper.
What we'll write about
Expect a mix of the following:
- Hardware deep dives. Which GPU actually matters for a 70B model? How much VRAM is enough? We'll post the numbers, not the vibes.
- Model spotlights. New open-source releases — Llama, Qwen, DeepSeek, Gemma — tested on BoxGPT machines with reproducible prompts.
- Workflow guides. Running Cursor against your own box, hooking Cline into Ollama, building a local RAG pipeline with OpenWebUI.
- Privacy & security. The actual threat models local AI solves (and the ones it doesn't).
- Product updates. New machines, firmware improvements, and the occasional behind-the-scenes.
Who this is for
If any of these sound like you, you're in the right place:
- Engineers evaluating whether to move AI workloads off the cloud
- Teams that can't ship customer data to third-party APIs
- Hobbyists who want the fastest local inference their budget allows
- Anyone tired of rate limits, subscriptions, and surprise pricing changes
A quick note on format
Posts will be honest about tradeoffs. If a model is great at code and terrible at math, we'll say so. If a cheaper GPU beats a more expensive one on a specific workload, that goes in the headline.
Your AI, your data, your machine — that's the whole thesis.
New posts drop whenever we have something worth saying. Request a demo if you'd like to see a BoxGPT machine in action, or get in touch if there's a topic you'd like us to cover.