Complete Server Solutions for AI, Enterprise & Edge Infrastructure
BEIJING YINTAI supplies and integrates the server platforms behind modern AI, enterprise, and edge infrastructure. Our product portfolio spans 8 categories — general purpose rack servers, high-density AI servers, immersion-cooled platforms, prefabricated compute containers, end-to-end AI data center solutions, engineering-tested used servers, edge computing servers, and component-level GPU repair — so your team can source compute, cooling, and lifecycle support from a single project interface.
Every platform is configured against your workload rather than picked from a fixed catalog. Intel Xeon and AMD EPYC foundations, multi-GPU topologies, high-capacity DDR5 memory, PCIe 5.0 expansion, and air, cold-plate, or immersion cooling paths are matched to your rack power envelope, site conditions, and delivery timeline — then validated through project-specific testing before shipment.
Our Products
General Purpose Servers
Dependable 1U, 2U, and 4U rack servers built on current-generation Intel Xeon and AMD EPYC platforms. Configurable DDR5 memory, SATA/SAS/NVMe storage backplanes, and versatile PCIe 4.0/5.0 expansion make them a practical foundation for virtualization, databases, analytics, private cloud, and business-critical applications.
Best for: enterprise IT, private cloud and virtualization, web and application hosting.
AI Servers
High-density GPU server platforms in 4U, 6U, and 10U form factors, supporting 4 or 8 accelerators per node with Direct, Balance, Cascade, and Common topologies. Validated reference configurations span premium, balanced, and cost-optimized tiers — including engineered blower-cooled RTX 5090 options for qualified deployments — with high-speed InfiniBand or RoCE networking for cluster builds.
Best for: LLM training and fine-tuning, production inference, computer vision, HPC.
Immersion Cooling Servers
Native immersion-ready platforms that transfer heat directly into dielectric coolant. Fanless operation targets PUE ≤ 1.05 under suitable conditions and acoustic levels below 40 dB, supporting rack densities beyond what air cooling can sustain. Project scope can extend to tanks, CDUs, secondary loops, and monitoring as one integrated system.
Best for: high-density AI clusters, energy-efficient data centers, noise-sensitive sites.
Compute Containers
Factory-prefabricated modular data centers in standard 20-foot and 40-foot formats. Racks, UPS, batteries, power distribution, cooling, fire suppression, and DCIM monitoring are integrated and factory acceptance tested before shipping — compressing deployment schedules and enabling phased capacity expansion by adding container blocks.
Best for: rapid deployment, edge and outdoor sites, phased AI capacity build-outs.
AI Data Center Solutions
End-to-end intelligent computing center delivery, from Day 0 architecture and workload profiling through rack-scale integration to Day 2 operations. Hardware-aware design aligns facility power and cooling with the thermal profile of the IT equipment, with flexibility across air, cold-plate, and immersion cooling paths.
Best for: enterprises, cloud providers, and research institutions building AI facilities.
Engineering-Tested Used Servers
Refurbished enterprise hardware screened through inspection, component validation, firmware baselining, and stability checks — then reconfigured to your specification from available inventory. A practical route to budget-efficient capacity for workloads where latest-generation hardware is not a requirement.
Best for: development and test labs, backup and disaster recovery, education, rendering.
Edge Computing Servers
Compact, short-depth servers that process data where it is created. CPU-only, GPU-assisted, or mixed compute-and-storage configurations support video analytics, industrial data collection, and local inference in factories, telecom rooms, campuses, and remote sites — with remote fleet management across distributed locations.
Best for: edge AI inference, industrial and telecom sites, distributed infrastructure.
Data Center GPU Repair
Component-level diagnostics and repair for AI accelerators, GPU BaseBoards, switch boards, and related compute hardware. Oscilloscope-grade fault analysis, BGA rework, and post-repair validation help determine whether repair, parts recovery, or replacement is the most economical path for a failed board.
Best for: GPU fleet operators extending the life of high-value accelerators.
How to Choose Our Products
Why BEIJING YINTAI
Engineering-led configuration
Recommendations are built from workload profiling, rack power, and site constraints — not from a static price list.
One project interface
We coordinate qualified manufacturing, integration, and repair partners behind a single commercial and technical contact.
Cooling-agnostic infrastructure
Air, cold-plate, and immersion paths can be evaluated within the same project, so the cooling strategy follows the workload.
Lifecycle continuity
The same portfolio extends from new platforms through used-hardware reuse and component-level repair, protecting hardware investments over time.
