Multi-tier Compute Network
TINGYU's three-tier compute network: hyperscale centralized clusters for dense inference, regional centers for low-latency acceleration, and distributed edge nodes for real-time end-user interaction.
Computing Hubs
Western green-power bases, 10K+ compute clusters for heavy inference, optimal TCO
Regional Centers
Major metro clusters (BTH/YRD/GBA), proximity acceleration, <20ms latency
Edge Network
1,500+ county-level nodes for digital humans, voice AI, and real-time interaction
Three Tiers, Intelligently Dispatched
Different tiers handle different inference workloads. Smart scheduling routes each request to the optimal tier based on its characteristics.
Hyperscale Inference Clusters
10K+ compute clusters handling high-concurrency, long-sequence, and multimodal inference. Green power direct supply for optimal cost.
Proximity Inference Acceleration
Deployed in major metro clusters to reduce network hops for latency-sensitive workloads. Hot model preloading with elastic scaling.
Real-time Interaction Endpoints
1,500+ county-level nodes placing lightweight inference closest to users. Ideal for digital humans, voice interaction, and real-time translation.