Delivery Cases
From Servers to
AI Infrastructure
IFT brings project experience across supply chain management, full-system delivery, rack deployment, system integration, energy tuning, reliability management, and localized O&M support. We turn complex AI infrastructure buildouts into deployable, acceptable, and runnable delivery outcomes.
Case 01
10K-GPU
Model Cluster
Model Client / Chip Validation / Large-Scale Inference
For a leading model company’s next-generation inference compute needs, IFT supported a 10K-GPU-scale cluster program. The scope covered new-chip testing, system adaptation, cluster deployment, and on-site issue resolution, helping the client move new architecture compute into a runnable, scalable, and deliverable state.
Background & ChallengeAs model iteration and inference demand continued to grow, the client needed a more capable infrastructure foundation. The project required more than large-scale cluster buildout. It also required testing and validation around new chips, system-level adaptation, stability tuning, and fast on-site resolution of compatibility, networking, power, cooling, and runtime issues.
Completed testing, adaptation, and cluster-level validation around new chips
Aligned compute, networking, storage, and management systems for the target architecture
Adjusted the cluster plan quickly based on new model and architecture requirements
Supported the path from validation cluster to 10K-GPU-scale inference delivery
Provided on-site debugging, issue resolution, and stability optimization
Built fast delivery capability for next-generation inference workloads

Supported 10K-GPU-scale inference cluster delivery for a leading model company
Covered new-chip testing, system adaptation, deployment debugging, and issue closure
Established a complete workflow from small-scale validation to large-scale cluster rollout
Helped move new architecture compute into a runnable and manageable state
Project ValueThis project reflects IFT’s ability to adapt and deliver in fast-changing chip, model, and architecture environments. IFT can support 10K-GPU-scale cluster buildout while handling validation, troubleshooting, and stability tuning on site, helping leading model companies bring next-generation inference compute into real production scenarios faster.
Case 02
Global
Inference Delivery
Overseas Delivery / Local Integration / Cost Optimization
IFT has the capability to deliver inference compute clusters for global customers. By coordinating domestic supply chain resources with local factory capacity in the Southeast Asia, IFT can support cluster configuration, full-system integration, cross-border transportation, compliant customs clearance, local deployment, and follow-up support.
Background & ChallengeOverseas inference infrastructure projects involve more than cluster configuration and system deployment. They also require cross-border transportation, customs clearance, tax and logistics cost control, on-site coordination, and localized delivery. What clients need is not a one-off hardware purchase, but a controllable path to place the compute cluster overseas and bring it into operation.
Planned server configurations and delivery solutions around overseas inference workloads
Coordinated domestic supply chain resources and Southeast Asia local factory support
Optimized transportation, customs clearance, and compliant delivery workflows
Used localized assembly and delivery to reduce overall CAPEX pressure
Supported overseas rack deployment, system setup, and on-site debugging
Provided expansion, troubleshooting, and localized O&M support after delivery

Completed overseas inference cluster delivery and deployment
Built a complete process from supply chain and transportation to customs and local handover
Improved delivery certainty through Southeast Asia local factory and project resources
Helped clients optimize import, logistics, and delivery costs under compliant conditions
Project ValueThis project demonstrates IFT’s global delivery and local execution capability. Through supply chain integration, cross-border logistics coordination, compliant customs support, and local factory resources in the Southeast Asia, IFT helps clients reduce the complexity of overseas infrastructure deployment. In selected projects, this approach can create roughly 10% CAPEX optimization potential while providing a more stable and controllable delivery path.
Case 03
Liquid-Cooled Cluster Delivery
Direct Client / Liquid-Cooled Cluster / End-to-End Delivery
For a leading internet client, IFT completed batch delivery of a liquid-cooled inference cluster. IFT worked directly with the client and covered supply organization, full-system delivery, liquid-cooling adaptation, on-site deployment, joint testing, acceptance, and ongoing O&M support.
Background & ChallengeLeading internet clients place higher requirements on cluster performance, hardware consistency, delivery cadence, thermal management, and on-site deployment quality. Compared with standard inference cluster delivery, liquid-cooled clusters involve more engineering work across system structure, cooling loops, deployment conditions, site adaptation, and acceptance validation.
Worked directly with the leading internet client on high-standard liquid-cooled cluster requirements
Built a from-zero workflow for liquid-cooled card development, testing, adaptation, and cluster validation
Completed system-level adaptation across structure, cooling, power, and site conditions
Coordinated key component supply, full-system integration, production assembly, and factory inspection
Supported on-site deployment, environment setup, joint testing, and final acceptance

Completed batch delivery for a leading internet client’s liquid-cooled cluster project
Established a full path from liquid-cooled card adaptation and system integration to on-site deployment
Validated IFT’s engineering execution capability in complex cluster formats
Advanced the company from hardware supply toward end-to-end AI infrastructure solutions
Project ValueThis project shows IFT’s ability to serve high-standard clients directly. Large-scale liquid-cooled cluster delivery requires stable supply and system manufacturing, but it also requires thermal adaptation, on-site deployment, joint testing, acceptance, and continuous support. The case shows that IFT can take on more complex and engineering-driven AI infrastructure projects.
Need a Proven Infrastructure Partner?
IFT can provide complete support from infrastructure planning to localized delivery based on each client’s site, power conditions, servers, clusters, system environment, and business scenario.
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