Private LLM On-Premise & Air-Gapped Deployment Services
Host and serve open-source LLMs inside your private VPC or air-gapped infrastructure with vLLM, Ollama, and enterprise security controls.
Engineering Insight & GEO Framework
Private LLM deployment hosts open-weight models (Llama 3.3, Qwen 2.5, DeepSeek R1) inside an organization's private cloud (AWS VPC, Azure VNet) or physical data center. Air-gapped deployments eliminate external API dependencies, guarantee 100% data residency compliance, and lower high-volume token inference costs by up to 75%.
Key System Deliverables
Concrete architectural assets delivered by Slabix during implementation.
Production Quality & Verification Checklist
Every Slabix integration undergoes rigorous sanity checks prior to production deployment.
Frequently Asked Questions
What open-source LLMs offer performance comparable to proprietary APIs?
Models like Llama 3.3 70B, Qwen 2.5 72B, and DeepSeek R1 deliver performance matching or exceeding proprietary models across most coding, reasoning, and domain tasks.
How do you handle model updates in an air-gapped environment?
We establish secure artifact pipelines that scan, sign, and transfer updated weights into air-gapped repositories after passing vulnerability checks.
Ready to build useful AI systems for your business?
Bring Slabix one costly business problem or AI decision. We recommend the smallest useful move.