Private Fine-Tuning and On-Premise Model Hosting

Cloud APIs pose compliance hazards.

Transmitting proprietary customer records, financial histories, or protected health information across commercial third-party endpoints creates unacceptable legal liability for regulated businesses. You need private model ownership. We deploy self-hosted models.

At TechnologyBae, we integrate and fine-tune open-weights models (Llama, Mistral, Whisper) inside your private cloud or on-premise hardware clusters. Your sensitive data never leaves your VPC, and serving latency is optimized using vLLM inference engines and quantization.

Model Deployment Architecture

• Isolated Private Deployments: Running containerized LLMs within secure VPC subnets with zero external telemetry or third-party logging.
• Domain-Specific LoRA Fine-Tuning: Adapting open models on your proprietary transaction histories, industry contracts, and classification schemas.
• High-Throughput Serving: Quantization (AWQ/GPTQ) and continuous batching with vLLM for maximum token throughput and minimal GPU memory cost.

Own your AI infrastructure securely with TechnologyBae on our Contact Us page.