Depends on the model – in practice up to 4× faster.
Performance depends on model size, architecture and use case. In our tests – including with gpt-oss-120b – On-Premise deployments achieve up to four times lower latencies than comparable cloud setups depending on the scenario.
Why?
- No network overhead
- Dedicated hardware
- No shared resources
In short
With the right model, On-Premise is noticeably faster – we select, test and operate the models to fit your use case.
Next steps
- SMALL · MEDIUM · LARGE – Choose platform
- Contact us – Discuss performance requirements
Sources and further information:
- Monthly maintenance – Model updates and performance
- On-Premise AI for SMEs – Hardware and performance