Generative artificial intelligence is revolutionizing the processes of many companies, from document automation to the analysis of large volumes of data. However, the rise of cloud-based AI tools raises legitimate concerns about privacy, data sovereignty, and regulatory compliance. In this context, technologies like PrivateGPT and private cloud and bare-metal infrastructure are becoming increasingly important for any organization with critical needs.
Why a Private Generative AI?
Open-source generative AI platforms, such as PrivateGPT, allow companies to deploy their own language models and enhanced retrieval-augmented generation (RAG) systems without relying on external providers or exposing sensitive information outside of the corporate perimeter.
This means that all processing—from data ingestion to queries and document generation—occurs within the organization’s own infrastructure. This minimizes the risks of data leaks, avoids compliance issues, and maintains control over algorithms and workflows.
Advantages of Stackscale’s Private Cloud and Bare-Metal Infrastructure
Having a private cloud or dedicated bare-metal servers is essential to maximize the potential of solutions like PrivateGPT. Stackscale, as a specialized European provider, offers:
- Real resource isolation: Each client has its own private servers and networks, eliminating the risks associated with public cloud multi-tenancy.
- Enterprise GPUs for AI: Optimized equipment with cutting-edge GPUs (like NVIDIA L40S, L4, and Tesla T4) enables efficient training and serving of advanced generative AI models.
- Flexibility and customization: The environment adapts to the requirements of each company, from pilot projects to enterprise deployments, with real scalability and dedicated support.
- European regulatory compliance: Data centers are located in Spain and other EU countries, adhering to strict data protection regulations (GDPR, ENS, ISO…).
- 24/7 support and monitoring: Stackscale provides managed services and expert assistance throughout the entire AI project lifecycle.
Real Use Cases
The combination of PrivateGPT with private cloud or bare-metal infrastructure is particularly relevant in:
- Healthcare and legal: Where access, processing, and storage of sensitive information requires the highest security standards.
- Public administrations and banking: Which must comply with strict regulations and audit data processing.
- Industry and large enterprises: Seeking to accelerate innovation and automate processes without losing control over strategic information.
A Sustainable and Predictable Model
Another key advantage of private cloud and bare-metal is the predictable cost: it eliminates variable payments for token usage, queries, or extra storage, common in many public AI platforms. This facilitates financial planning and scalability for AI projects, adapting resources to the actual business demand.
Conclusion
Private generative artificial intelligence represents a growing trend for companies seeking the best of AI without sacrificing privacy, independence, and compliance. Infrastructures like those provided by Stackscale (Grupo Aire), with bare-metal servers and private cloud in Europe, are the ideal environment to deploy solutions like PrivateGPT and ensure the digital future of the most demanding organizations.