TINGYU
AI Compute Solutions

Not building a data center. Engineering a compute system.

Decomposing compute demand into power, cooling, network, hardware, and software — end-to-end deep design, construction, and operations.

01

End-to-end Systems Engineering

From power capacity to software scheduling — six dimensions of holistic design, not component stitching

02

AI Workload Deep Fit

Truly understanding training/inference workload patterns — cooling, network, storage all purpose-designed

03

Full-stack Self-controlled

Core capabilities self-built, no single-vendor dependency, reduced supply chain risk

04

Partner Co-creation

Specialized domains jointly built with industry-leading partners for best-in-class subsystems

TINGYU's hyperscale AI compute solution isn't traditional IDC construction. Starting from compute demand, we decompose it into six dimensions: site planning, power systems, thermal architecture, network topology, hardware clusters, and software platforms. Each layer is deeply designed end-to-end. Core capabilities are self-built and self-controlled, complemented by co-creation with specialized partners to ensure every layer precisely matches AI workload characteristics.

Site & Power Planning

Optimal site selection balancing power cost, network, climate, and policy; power systems designed for AI load dynamics

Thermal Architecture

Air/liquid hybrid cooling matched to GPU power density, with upgrade headroom for next-gen hardware

High-performance Network

From backbone access to inter/intra-node interconnect, full-path topology designed for cluster communication patterns

Cluster Delivery & Ops

Hardware racking, network commissioning, platform deployment — turnkey delivery with ongoing operational optimization

Delivery Process

1

Demand Decomposition

Break compute needs into power, cooling, network, hardware, and software dimensions

2

End-to-end Design

Deep design per layer ensuring cross-layer optimization

3

Partner Alignment

Engage specialized partners for best-practice subsystems

4

Modular Build

Parallel construction across workstreams to compress timelines

5

Delivery & Ops

Cluster commissioning and handover with continuous operational refinement

Large Enterprises · Government · State-owned Platforms

Enterprise Private Compute

Custom 10K+ compute clusters for internet/AI companies

Government Smart Compute

Regional AI compute centers serving local industry ecosystems

Joint Operations

Co-build and co-operate models sharing investment and returns

Plan Your Compute Solution

From demand decomposition to 10K GPU delivery — end-to-end, our responsibility