Why should you care about who really owns the servers that power your cloud workloads and AI?? In this episode, Nebul CEO Arnold Juffer reveals how European businesses can run private GPTs—free from hyperscaler lock-in, Cloud Act subpoenas, and data-leak nightmares.

TOPICS DISCUSSED:

1. European AI Sovereignty
How geopolitical tensions underscore the need for a Europe-owned AI infrastructure.

2. Private Cloud and Compliance
Building “secure by default” private clouds that turn compliance into a competitive advantage.

3. Model Bias & Hallucination
Addressing bias in foreign-trained models and reducing hallucinations using RAG and guardrails.

4. European AI Act & Regulation
Challenges around traceability requirements and prohibited model sizes under the AI Act.

5. B2B AI Adoption
A workshop-to-MVP approach for enterprises exploring private AI workloads.

6. AI as Operational Interface
Leveraging AI agents for 24/7 infrastructure monitoring and as the new front-end for business applications.

INSIGHTS:- Sovereignty over data and models is critical for economic and geopolitical security.

- Running open-source stacks under European jurisdiction prevents foreign “phone-home” risks.

- RAG dramatically improves factual accuracy and reduces bias/hallucinations.

- The AI Act’s traceability mandate and model-size limits can stifle innovation if not refined.

- A fast-paced, time-boxed MVP process de-risks enterprise AI adoption.

- AI agents can surface patterns in massive log streams and replace routine interfaces.

TOOLS AND TECHNOLOGIES MENTIONED:

- Nebul Private GPTs- Retrieval-Augmented Generation (RAG)- Open-source models: DeepSeek, Qwen, Llama 4- GPU-based private cloud clusters

CONTACT INFO:
- Nebul's Blog Website: nebul.com/news- Nebul Contact Page: The Nebul Contact Page

CHAPTERS
01:32 Private Cloud & Sovereignty Discussion
02:25 Nebul’s Infrastructure Approach
03:06 Compliance as a Competitive Advantage
04:22 Industries Benefiting from Sovereign AI
06:10 US Cloud Act & FISA Impact
08:54 Geographic Adoption Differences
09:45 Ensuring European-Hosted Models’ Privacy
11:07 Addressing Model Bias & Guardrails
12:53 RAG to Combat Hallucinations
14:03 European LLM Provider Landscape
15:51 Europe’s Role in AI Race & Infrastructure Gaps
16:18 Barriers to European Model Development
20:49 AI Act Challenges: Traceability & Model Size
23:59 Traceability vs. Chain-of-Thought Debate
25:09 E-commerce Example for Sovereign AI
28:13 Open-Source vs. Proprietary Solutions
32:03 AI as Competitive Differentiator
33:28 B2B Focus & Product Maturity
36:31 AI Agents for Operations & Interfaces
39:41 Nebul’s Customer Onboarding Process
43:16 Where to Learn More & Next Steps

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