AI Infrastructure Services

AI infrastructure succeeds or fails on execution across the full lifecycle. BEIJING YINTAI provides four connected service lines — custom server and motherboard ODM, AI compute center design and integration, data center operation and maintenance, and enterprise GPU maintenance — that carry your project from first architecture decisions to stable long-term operation.

The engagement model is consistent whether you need a specialized motherboard engineered from scratch, a turnkey intelligent computing center, ongoing operational support for a production cluster, or a maintenance program for a large accelerator fleet: one technical partner, documented scope, and engineering accountability at every stage.

Our Services

understanding customer needs

Design — Custom Server and Motherboard ODM

When off-the-shelf platforms cannot meet your performance, space, interface, or environmental requirements, our ODM and JDM programs coordinate custom engineering from motherboard to container. Partner capabilities cover high-speed interconnects, PCIe 5.0/6.0 signal-integrity simulation, multi-GPU topology, power delivery, BIOS/BMC firmware, chassis and thermal design, and production validation — delivered through qualified manufacturing partners, with BEIJING YINTAI acting as your engineering liaison and single project contact.

Custom Server & Motherboard ODM
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Build — AI Compute Center Design and Integration

From the first blueprint to cluster power-on, we plan and integrate intelligent computing centers for LLM training, high-throughput inference, and HPC. Workload profiling drives the architecture; racks are pre-cabled, configured, and burn-in tested under agreed Factory Acceptance Testing before shipping; and on-site deployment concludes with Site Acceptance Testing and private AI enablement support.

From the first blueprint to cluster power-on, we plan and integrate intelligent computing centers for LLM training, high-throughput inference, and HPC. Workload profiling drives the architecture; racks are pre-cabled, configured, and burn-in tested under agreed Factory Acceptance Testing before shipping; and on-site deployment concludes with Site Acceptance Testing and private AI enablement support.

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Operate — Data Center Operation and Maintenance

High-density AI clusters place unusual demands on operations teams. Our O&M services connect monitoring, structured incident management, preventive maintenance, field service, resident engineering, and spare-parts planning into one operational workflow — designed around your installed equipment, workload criticality, and required response model rather than a universal template.

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Maintain — Enterprise GPU Maintenance Programs

Beyond case-by-case repair, our GPU maintenance programs give accelerator fleets structured lifecycle support: SLA-backed bulk repair agreements, component-level diagnostics, thermal renewal, engineered blower-cooled RTX 5090 options for qualified deployments, fleet health analytics, and rotating spare coordination where available.

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Services Portfolio

ServiceWhat It CoversEngagement Model
Custom Server & Motherboard ODMMotherboard and barebone (L6) design through full systems (L9/L10) and containerized delivery (L11)Project-based ODM/JDM
AI Compute Center Design & IntegrationDay 0 planning to Day 1 deployment: facility design, rack-scale integration, network and storage, private AI enablementTurnkey project delivery
Data Center Operation & MaintenanceMonitoring, structured incident management, preventive maintenance, resident engineering, spare-parts coordinationSLA-backed service programs
Enterprise GPU Maintenance ProgramsBulk repair contracts, component-level diagnostics, thermal renewal, fleet health reporting, rotating sparesOn-demand to comprehensive contracts

Three principles apply across every engagement:

  • A single project interface. BEIJING YINTAI coordinates technical communication with partner manufacturing and repair resources while giving you one commercial and project-management contact.
  • Documented scope. Service boundaries, response targets, parts models, and exclusions are written into the agreement — not assumed after deployment.
  • Hardware-aware engineering. Because we design, integrate, and repair the same class of equipment we maintain, our teams can distinguish a replaceable module from a board-level fault, and a thermal symptom from a configuration issue.

Why BEIJING YINTAI

Full lifecycle coverage

Full-lifecycle coverage

Few suppliers connect ODM engineering, facility integration, operations, and component-level repair within one service portfolio.

Engineering accountability

Technical decisions are documented, reviewed with your team, and traceable through design gates and acceptance tests.

International delivery model

International delivery model

We act as a project interface for global customers, coordinating partner manufacturing, integration, and laboratory resources.

commitments

Practical commitments

Response targets, repair feasibility, and service levels are stated with their conditions and confirmed per contract.

Why BEIJING YINTAI

Frequently Asked Questions

Can BEIJING YINTAI deliver a complete AI compute center from scratch?

Yes. Our AI compute center integration service covers Day 0 architecture and workload profiling, Day 1 rack-scale integration and deployment, and private AI enablement — with O&M support available afterward.

What ongoing support is available after deployment?

Data center operation and maintenance programs can include monitoring, preventive maintenance, remote and on-site diagnostics, resident engineering, spare-parts coordination, and escalation to board-level repair.

How are response times and service levels defined?

Coverage depends on facility location, local engineering resources, parts logistics, and workload criticality. Realistic targets are confirmed during service design and recorded in the agreed SLA.

Can services be combined with hardware supply?

Yes. Most engagements combine products from our server portfolio with one or more service lines — for example, AI servers with integration and O&M, or used servers alongside GPU maintenance programs.

Do you support mixed-brand infrastructure?

Support for heterogeneous server, accelerator, storage, and network environments can be considered, depending on documentation, diagnostic access, parts availability, and technical feasibility.