Private LLM Inference gives product teams a focused way to run models behind their own application boundary. CODEPOP designs the model serving layer, API access, rate limits, logging, secrets, and deployment flow so AI features can move from prototype to production with fewer unknowns.
AI & LLM Model Hosting
Private LLM Inference
Dedicated model APIs for teams that need private prompts, predictable latency, and controlled access.
API
Inference
Private AI
Security
AI Model Hosting
LLM
Private LLM Inference
Inference layer
Llama, Mistral, Qwen, Phi, OpenAI-compatible gateways, and managed API fallbacks.
Security and governance
Private networking direction, access tokens, prompt logging policy, secrets hygiene, and least-access operations.
LLMOps note
Built for teams that need dependable model endpoints rather than experiments running on a laptop.