AI is everywhere. Chatbots, text generation, data analysis – you can’t escape it anymore. But while most companies run their AI solutions in the cloud, we at USN for another route: On-premise AI. Why? Because Control, privacy and efficiency are just as important as the technology itself.
In this blog, we’ll be diving deeper into On-premise AI, the advantages of RHEL AI, and how companies Large Language Models (LLMs) running locally without relying on external cloud providers.
What is on-premises AI and why is it relevant?
On-premise AI simply means that companies run their own AI models on their own infrastructure, rather than via a cloud provider such as AWS, Azure or Google Cloud. This gives organisations full control over their data and infrastructure.
For many companies in sectors such as financial services, healthcare and government agencies This is crucial. Data must not simply be stored and processed externally, and the costs of cloud services can quickly mount up.
Met on-prem AI can companies
✔ Keeping sensitive data in-house – No risk of data breaches or unauthorised access.
✔ Lower costs in the long term No expensive cloud subscriptions that grow with your dataset.
✔ Maximum control and flexibility – Customise models without relying on cloud providers.
RHEL AI: The foundation for on-prem AI
At USN, we work with RHEL AI, a powerful, enterprise-ready solution that enables the use of AI models stable and scalable to run on your own hardware. RHEL AI offers:
✔ Optimal hardware integration Perfect for high-performance servers and clusters.
✔ Enterprise security and support – For businesses that need certainty and stability.
✔ Automation with Ansible Less manual labour, more efficiency.
Thanks to RHEL AI we can Running and fine-tuning Large Language Models (LLMs) locally, so that companies can get started with AI immediately without relying on cloud providers.
How USN makes on-premises AI accessible
We understand that not every company immediately a Server park wants to purchase in order to run AI locally. That is why we offer two options:
- AI on own hardware – We install and configure RHEL AI on existing or new hardware.
- AI in an external data centre – For companies that do not want to make a large investment in hardware.
In both cases, we provide a Seamless setup and automation, so that companies can get started with AI immediately.
On-Prem AI vs Cloud AI: The key differences
| Feature | On-Prem AI | Cloud AI |
| Data control | ✔ Complete | External storage |
| Costs | One-off investment | ❌ Recurring subscription fees |
| Scalability | ✔ Adaptable to your own hardware | ✔ Cloud-gebaseerde schaalbaarheid |
| Privacy & Security | ✔ Full data check | ❌ Provider dependent |
| Performance | Direct hardware optimisation | ❌ Limited by cloud latency |
For companies that maximum control and data security, on-premise AI is clearly the best choice.
Conclusion: is on-prem AI the future?
Cloud AI has its advantages, but On-premise AI is becoming increasingly attractive for businesses that want more control, lower costs, and better performance. Thanks to RHEL AI en USN’s expertise it's never been easier to Run AI locally, without complexity.
Does your company want to know Is it possible to implement AI without relying on the cloud? Contact us!
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