A chat window is not a console. Once local models stop being a weekend project, you need to see what is running, what it is eating, and whether it is healthy. - Model status: which models are loaded, on which machine, at what quantization. Embarrassing how many setups lack this. - Resource truth: real VRAM and RAM per model, not estimates. You want the graph that explains the 2am crash. - Request visibility: chat volume, response slowdowns, where the queue builds. - Multi-machine view and readable logs. Not grep-at-midnight logs. Readable ones. - Do not buy the console before you need it. One model on one laptop needs a terminal and five minutes, not a dashboard. PrivateLLM deploy handles the whole thing: private LLM on AWS, $50 setup plus usage, monitored and documented.
●Work with me
Run AI on your own machines
A local LLM stack installed and configured for your team. Your data never leaves the building.
$599 starting price
- ✓ Local LLM stack on your servers
- ✓ Your data never leaves you
- ✓ Staff training included
Tell me about your situation and I will get back to you.