Rack-scale planning before deployment
IFT plans rack-scale AI infrastructure around site readiness, rack density, power distribution, cooling path, network topology, storage needs, and expansion phases.
Rack-Scale AI Infrastructure
Rack-Scale AI Infrastructure for GPU Clusters
IFT helps enterprises deploy rack-scale AI infrastructure that coordinates GPU servers, network fabric, storage, power distribution, cooling, cabling, system integration, and acceptance testing.
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GPU servers connected as one system
Rack-scale deployment connects GPU servers, management networks, storage, cabling, monitoring, and base environments into an operational infrastructure unit.
Infrastructure for scalable inference
The rack-scale approach supports production inference, private AI deployment, AI agents, high-throughput model serving, and future GPU cluster expansion.
Capabilities
Built for procurement, deployment, and operations.
Rack layout and deployment planning
GPU server and cluster architecture
Network fabric and storage coordination
Power distribution and cooling planning
Cabling, system setup, and acceptance
Expansion and operations support
Rack-scale GPU clusters
AI inference rack deployment
Data center AI infrastructure
Private AI cluster expansion
High-density inference infrastructure
What is rack-scale AI infrastructure?
Rack-scale AI infrastructure is a deployment model where GPU servers, networking, storage, power, cooling, and management are planned and operated at rack or multi-rack scale.
Does IFT support rack deployment?
Yes. IFT supports rack layout, equipment installation, cabling, networking, power and cooling coordination, system setup, acceptance, and 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