Definition
Private Back End refers to a controlled infrastructure environment where organisations deploy and manage proprietary or custom large language models (LLMs) isolated from public cloud services.
This architecture enables secure integration of internal LLMs while maintaining full data governance and operational autonomy.
Key aspects of private back ends for LLM integration:
Infrastructure ownership
Hosted on-premises or in private cloud environments ensuring separation from public LLM providers.
Model interoperability
Standardised APIs and containerisation enable plug-and-play LLM swapping.
Security controls
Implements VPN tunneling, role-based access, and encrypted data pipelines to protect model weights and training data.
Summary
Private back ends are particularly valuable for regulated industries (healthcare, finance) and organisations handling sensitive IP.
While initial setup demands significant resources (30-50% higher than public cloud), long-term benefits include 60-80% reduction in compliance risks and tighter model-task alignment.
