Model Serving Infrastructure planning for enterprise deployment
IFT helps plan model serving infrastructure around latency, throughput, concurrency, GPU capacity, storage, networking, power, cooling, and operating cost.
Model Serving Infrastructure
Model Serving Infrastructure for AI Inference Workloads
IFT model serving infrastructure supports GPU inference servers, private model deployment, LLM serving, RAG, AI agents, and enterprise AI operations.
model serving infrastructuremodel serving serverAI model servingGPU inference infrastructure
Hardware, rack, power, cooling, and system integration
Deployment support can include GPU server selection, rack deployment, base environment setup, system integration, testing, and scale-out planning.
Built around real inference and AI infrastructure needs
Model serving infrastructure supports LLM serving, private AI deployment, RAG, AI agents, multimodal inference, and enterprise production applications.
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
LLM serving
Private model deployment
RAG
AI agents
Production inference
What is Model Serving Infrastructure?
Model Serving 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 model serving 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