An independent resource for LLMOps.
No vendor agenda, no hype cycle - just the practices that hold up when a language model meets real users, real traffic and a real budget.
LLMOps.si collects the operational discipline of running large language models in production - evaluation, observability, cost control, security and governance - into practical guides and free tools.
LLMOps is not an invented niche. It's defined by Google Cloud, IBM, Red Hat, Databricks and MLflow as the set of practices for deploying, monitoring and improving LLM applications across their lifecycle. This site translates that into checklists, calculators and reference material an engineering team can actually use.
Everything here is editorial and vendor-neutral. Tool listings are not paid placements. The mini-tools run entirely in your browser - nothing you type is uploaded.
LLMOps.si is maintained by Damjan Holsedl, a project and systems engineer based in Slovenia, focused on practical AI operations, production readiness and technical systems.
LLMOps.si is an independent resource for the LLMOps community. Strategic partnership and acquisition inquiries are welcome.
If you're building in this space - a tool, a platform, or a media partnership - and the fit is genuinely useful to the audience, get in touch. Sponsored content is clearly labelled and kept separate from editorial listings.
There's also a deliberate asset here: .si reads two ways - Slovenia's domain, and SI: Super Intelligence. That makes LLMOps.si a clean, memorable home for the operations layer of intelligent systems - a practical resource today, and a positioned property for whoever takes it further.
.si - Slovenia's domain. Also, fittingly: Super Intelligence. A wink for readers, a thesis for partners - never the headline.