AI & LLM Model Hosting

Private, observable model hosting for useful AI products.

CODEPOP designs the hosting layer behind AI applications: LLM inference, RAG systems, GPU serving, chatbot platforms, monitoring, security, and cost control.

Model operations

Inference, embeddings, guardrails, monitoring, and cost clarity in one production layer.

LLM APIs RAG GPU serving LLMOps

AI hosting tags API Automations Autoscaling Chatbot Cost Documents Embeddings Evaluation GPU Guardrails Inference Llama LLMOps Mistral Monitoring Observability Open Source Private AI Private Cloud RAG Security Support Vector Search vLLM

AI Model Hosting

LLM

Private LLM Inference

API Inference Private AI

Private LLM Inference

Dedicated model APIs for teams that need private prompts, predictable latency, and controlled access.

SaaS assistants, internal tools, private copilots, and regulated product workflows.

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AI Model Hosting

RAG

RAG Knowledge Base Hosting

Documents Embeddings RAG

RAG Knowledge Base Hosting

Retrieval-augmented generation hosting for documentation, support knowledge, product data, and private content.

Documentation copilots, customer support, internal knowledge bases, and product search.

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AI Model Hosting

GPU

GPU Model Serving

Autoscaling GPU Observability

GPU Model Serving

Production GPU hosting for open-source models, batch jobs, streaming responses, and scale-sensitive AI features.

High-volume inference, streaming chat, batch enrichment, and open-source model deployments.

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AI Model Hosting

BOT

AI Chatbot Platform

Automations Chatbot Guardrails

AI Chatbot Platform

Hosted conversational systems with business context, handoff flows, guardrails, analytics, and integrations.

Support assistants, lead qualification, onboarding flows, and internal operations chat.

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AI Model Hosting

Open Source Model Deployment

Llama Mistral Open Source

Open Source Model Deployment

A clear path for hosting Llama, Mistral, Qwen, and other open models in private cloud environments.

Teams evaluating private AI, custom copilots, sensitive workloads, and cost-controlled inference.

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AI Model Hosting

OPS

LLMOps Monitoring and Cost Control

Cost Evaluation LLMOps

LLMOps Monitoring and Cost Control

Observability, evaluation, cost tracking, and incident habits for AI systems already moving into production.

Production AI products, usage-heavy assistants, internal platforms, and teams managing model spend.

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Need private AI infrastructure that can survive real users?

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