LLM Inference Infrastructure

LLM Inference Infrastructure for Private AI Deployment

IFT LLM inference infrastructure supports GPU servers, model serving, RAG, AI agents, private LLM deployment, and scalable enterprise AI systems.

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LLM Inference Infrastructure visual

LLM Inference Infrastructure planning for enterprise deployment

IFT helps plan LLM inference infrastructure around model size, token throughput, concurrency, latency, GPU memory, network, storage, power, and cooling.

Hardware, rack, power, cooling, and system integration

Infrastructure deployment can include GPU server delivery, rack layout, cabling, base environment setup, testing, troubleshooting, and expansion planning.

Built around real inference and AI infrastructure needs

LLM inference infrastructure supports private chat, RAG, AI agents, knowledge-base systems, document automation, and production model serving.

Capabilities

Built for procurement, deployment, and operations.

Workload and deployment requirement assessment
Server, GPU, CPU, memory, storage, and network configuration planning
Rack deployment, cabling, power, and cooling coordination
Base environment setup and system integration
Acceptance testing, troubleshooting, and operations handoff
Scale-out and lifecycle expansion planning
Use Cases
Private LLM deployment
RAG
AI agents
Model serving
High-throughput inference
FAQ

What is LLM Inference Infrastructure?

LLM Inference Infrastructure refers to the server, GPU, and infrastructure planning needed to support enterprise AI workloads such as inference, model serving, RAG, AI agents, and private AI deployment.

Can IFT help deploy llm inference infrastructure projects?

Yes. IFT supports requirement assessment, server planning, equipment delivery, rack deployment, system integration, acceptance testing, and local operations support.

Plan your AI infrastructure deployment with IFT.

Share your workload, server quantity, GPU requirements, site conditions, target region, and timeline. IFT will help evaluate the right deployment path.

Contact IFT