AI LLM Ops Services

Design, Install, and Manage Large Language Model Systems for Enterprises
Production-Ready, Secure, Scalable, and Cost-Controllable

LLMOps is about moving LLM usage in organizations beyond experimentation — enabling systematic real-world deployment covering infrastructure, model serving, internal data integration, RAG, and full Monitoring, Security, and Governance management.

Ref. https://developer.nvidia.com/embedded/develop/software

Our Expertise

• ประสบการณ์กับ Large-Scale Models We have hands-on experience designing and running large-scale models such as DeepSeek 671B, Llama 3.1 405B, and OSS GPT 120B for real enterprise-grade workloads.
• Expertise in Model Serving Stack We have deployed and operated Model Serving systems using KServe, vLLM, Ray Serve, and Kubeflow to enable flexible and scalable inference.
• RAG on Enterprise GPU Infrastructure We have experience deploying RAG systems on high-end GPU Infrastructure such as NVIDIA H100, H200, B200, and MI300 to support high-performance AI workloads.
• AI Storage & Data Architecture We design and manage High Performance Storage tailored for AI Workloads including Inference, RAG, and Training, and help architect efficient S3-based data structures.
• Training & AI Platform Deployment We can advise, design, and deploy Model Training systems on GPU Servers, including helping plan Data Pipeline management and Environment setup for production-ready use.

Our Services

• LLM Infrastructure Design
  We architect infrastructure for LLM deployments across On-Premise, Cloud, and Hybrid environments, tailored to your workload scale, budget, and organizational goals.
• Model Deployment & Serving
  We install and fine-tune systems for deploying models and serving them via API, enabling internal teams or applications to call them efficiently.
• RAG & Data Integration
  We connect LLMs to documents, knowledge bases, or internal organizational data, enabling the model to answer questions accurately with references to real business data.
• Monitoring & Optimization
  We set up monitoring systems for model and infrastructure performance metrics such as Latency, GPU Utilization, Error Rate, and cost, enabling easier management and optimization.
• Security & Governance
  We design security measures including access control, log management, and data usage guidelines to support enterprise-grade deployments.
• Managed LLMOps Services
  We provide end-to-end LLM system management covering infrastructure maintenance, system monitoring, updates, troubleshooting, and continuous improvement.

Technologies & Environments We Support

• Large Language Models Supporting both Open-Source and Enterprise Models for Inference, Fine-Tuning, and Enterprise AI Use Cases.
• Serving Platforms Supporting KServe, vLLM, Ray Serve, Kubeflow, and Kubernetes-based AI Platforms.
• GPU Infrastructure Supporting design and operation on GPU Servers and GPU Clusters such as NVIDIA H100, H200, B200, and AMD MI300.
• Storage & Data Layer Supporting data infrastructure setup on S3, High Performance Storage, and Data Architecture suited for AI Pipelines.

Ideal For

• Organizations Wanting to Use LLM Internally
  Suitable for teams looking to build AI Assistants, Chatbots, or internal document search systems.
• Businesses Moving from PoC to Production
  We help transition from experimental systems to stable, real-world deployments that support users long-term.
• Organizations That Need Full Control Over Data and Systems
  Suited for high-privacy workloads requiring deployment on Private Environments, On-Premise, or Hybrid Architecture.
• Teams Needing Training and Serving on the Same Platform
  Ideal for organizations needing end-to-end AI data management including Inference, RAG, and Fine-Tuning on a unified platform.

What You Will Get

• Production-Ready AI Platform A production-ready system architecture supporting Model Serving, RAG, Training, and internal organizational data integration.
• Better Performance & Cost Control You get a system designed specifically for AI Workloads, improving performance and better controlling infrastructure costs.
• Secure & Scalable Foundation You get a system that is secure, standards-compliant, and scalable to grow with your business.

Why Choose Us

• Real Experience with Models and Infrastructure We go beyond theoretical understanding — we have direct, hands-on experience running and serving large-scale models on real GPU Infrastructure.
• Understanding Models, Platforms, and Storage We oversee the entire system — from Model Serving, RAG, Training, Storage, Kubernetes, to Data Architecture — ensuring they work seamlessly together.
• Built for Real Enterprise Workloads Every design is focused on real Production use — not just a Demo or Prototype.

Get Started with Us

If you are looking for a team to help set up an LLM system that is truly production-ready for your organization
We are ready to help you design, install, and manage a complete system — from Model Serving, RAG, Training, all the way to an AI Data Platform.

Turn LLM from a concept into a working real-world system.

Interested? Contact us by Email [email protected]