Hetzner is working on LLM Inference
In this technical retrospective (2026), @jonas_scholz shares practical architectural lessons learned from running, scaling, or migrating production software under lean constraints.
Core Principles for Independent Builders:
Defaulting to simpler architectures (such as monolithic frameworks, SQLite, or managed VPS) prevents early engineering bankruptcy.
Evaluating true compute and egress costs reveals that high cloud bills can often be slashed by 80%+ through judicious re-platforming.
Code you write at 2 AM as a solo engineer must be easy to debug six months later without complex microservice dependencies.
Community Debate Themes:
HN engineers debated the tradeoffs between cloud convenience and raw server economics, database indexing strategies, and resisting premature architectural complexity.
CATEGORY Frugal Engineering →
HISTORICAL ERA Post-ZIRP & AI (2023–2026)
COMMUNITY SCORE ★ 7 points
TOTAL DISCUSSIONS 0 comments
This seems like a smart move, given their ability to host efficiently. I approve of efforts to make the cost of inference for smaller useful models slowly approach 'close to zero' and there are many good paths for getting there. It is useful for companies to get fast hosting for the class of smaller models they may end up hosting in house.
Good to see more developments in this space. I quite like this service, which is a little further than Hetzner and has several models to choose from: https://www.infomaniak.com/en/hosting/ai-services
Very soon we will be having reseller programs for inference, this will be just like web hosting reseller. After big players, small players will also start entering in this field.
I'm waiting for that day so that inference will be affordable just like web hosting. 200$ per month is in no way affordable by everyone.
Straight up the opposite, which the name makes abundantly clear, with the option it does reasoning, without it it doesn't...
Hetzner is very efficient hosting servers
Will this be the new division of labor?
Americans - best proprietary models
Chinese - best open weight models
Europeans - best / most efficient inference service