GPU server planning for enterprise workloads
IFT helps select GPU server platforms based on model size, concurrency, memory, storage, networking, power budget, thermal constraints, and deployment schedule.
GPU Server Solutions
GPU Server Solutions for AI Inference and Enterprise Compute
IFT provides GPU server solutions for enterprises that need reliable AI inference, model serving, private GPU infrastructure, and scalable cluster deployment.
GPU server solutionsAI GPU serversenterprise GPU serversmulti-GPU serverGPU inference server
From one server to cluster rollout
GPU server solutions can support small private deployments, departmental inference systems, multi-node clusters, and standardized infrastructure rollout across sites.
Integration support for production readiness
IFT supports server delivery, rack integration, base environment setup, driver and management readiness, acceptance testing, and troubleshooting.
Capabilities
Built for procurement, deployment, and operations.
Multi-GPU server configuration
Air-cooled and liquid-cooled deployment planning
PCIe and high-density GPU server options
Rack-scale power and cooling coordination
Cluster network and storage integration
Deployment, testing, and operations support
LLM inference GPU servers
Enterprise GPU compute platforms
Private AI infrastructure
GPU cluster expansion
Model serving and AI agent workloads
What makes a GPU server suitable for AI inference?
A suitable GPU server balances GPU memory, CPU resources, system memory, PCIe bandwidth, storage, networking, power delivery, cooling, and management features for stable model serving.
Can IFT support GPU server clusters?
Yes. IFT supports GPU server cluster planning, rack deployment, network and storage integration, system bring-up, acceptance testing, 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