PRIVATE AND LOCAL LLMS Solutions & Delivery Excellence
Alphaxine deploys and operates production-grade language models on your infrastructure, so you get capable AI without supply-chain data, financial records or personal information ever leaving your environment.
Model Selection and Sizing
We select and size models (Llama, Mistral, Phi, Gemma and others) for your hardware, latency and accuracy requirements.
Infrastructure Deployment
On-premises GPU cluster setup, AWS Private Cloud or VPC-isolated deployment. Fully air-gapped where required.
Fine-Tuning and RAG
Domain adaptation using your data. LoRA fine-tuning, RLHF pipelines and RAG retrieval layers.
Security and Governance
Input/output filtering, audit logging, access controls and responsible AI policy aligned to your compliance framework.
Our Private & Air-Gapped LLM Deployment Framework
Running frontier open-weights language models strictly within your dedicated VPC or on-premise infrastructure so intellectual property never leaves your boundary.
Evaluate model size, GPU/accelerator requirements (AWS Inferentia/NVIDIA), and configure zero-egress isolated network topologies.
Deploy models (Llama 3, Mistral) with high-throughput vLLM inference runtimes, continuous batching, and custom enterprise fine-tuning.
Enforce enterprise role-based prompt access, continuous inference latency monitoring, and strict compliance logging for sensitive data.
Speak with Our Private AI Architects
Deploy enterprise-grade generative AI with zero external API dependencies and complete data sovereignty inside your perimeter.