AI Computing Network

  Products & Services Computing AI Computing Network

Challenges

  • Fragmented AI Experience

    Fragmented AI Experience

    Multiple models, disconnected memory, and slow knowledge retrieval make enterprise AI adoption more complex.

  • Network Performance Limitations

    Network Performance Limitations

    AI workloads require high bandwidth, low latency, and reliable connectivity across data centers and regions.

  • Inefficient Compute Orchestration

    Inefficient Compute Orchestration

    Fragmented compute resources and limited cross-region scheduling reduce utilization and slow AI training and inference.

Solution Overview

CypressTel’s AI Computing Network is built on a decoupled three-layer architecture spanning models, networks, and computing resources. It delivers an end-to-end AI infrastructure service that connects compute access, high-performance networking, and enterprise AI applications. 

At the model layer, the platform supports more than 505050 mainstream large language models, including ChatGPT and DeepSeek. Its AI Gateway enables flexible model switching, cross-model memory, and near-instant knowledge-base retrieval. 

At the network layer, CypressTel combines SD-WAN and DCI technologies to build a global DCI backbone across key locations in China, Southeast Asia, Japan, and beyond. The network supports high-capacity connectivity of over 100100100 Gbps and low-latency access for AI data flows. 

At the compute layer, CypressTel integrates general-purpose computing and NVIDIA GPU resources across multiple deployment models, including bare metal and containers. Enterprises can provision and orchestrate computing capacity elastically based on workload requirements. By integrating computing, networking, and AI models, CypressTel provides a one-stop AI Computing Network service for enterprises—from resource access and workload scheduling to AI application delivery.

Business Value

  • Elastic, rapid deployment
  • Flexible multi-model support
  • Global low-latency connectivity
  • Full-stack integration of AI models, network, and compute

Elastic, rapid deployment

  • Access a broad range of computing resources, including NVIDIA GPUs and general-purpose compute. With rapid service activation, elastic scheduling, and zero-touch network deployment, enterprises can reduce the time, complexity, and cost of building AI-ready infrastructure.
Elastic, rapid deployment

Flexible multi-model support

  • Support for more than 505050 mainstream AI models enables enterprises to switch models according to business requirements. The AI Gateway incorporates vector-based memory capabilities to help address cross-model context continuity and improve the efficiency of enterprise AI applications.
Flexible multi-model support

Global low-latency connectivity

  • Our global DCI backbone covers 656565 data centers across China, as well as strategic nodes in Southeast Asia, Japan, and other key markets. With cross-border latency of less than 202020 ms and bandwidth capacity exceeding 100100100 Gbps, enterprises can move data reliably and efficiently across regions.
Global low-latency connectivity

Full-stack integration of AI models, network, and compute

  • CypressTel brings together compute orchestration, high-performance network transport, and AI model services in one integrated architecture. This enables efficient resource coordination and supports enterprise AI use cases through a single service platform.
Full-stack integration of AI models, network, and compute

  • Elastic, rapid deployment

    • Access a broad range of computing resources, including NVIDIA GPUs and general-purpose compute. With rapid service activation, elastic scheduling, and zero-touch network deployment, enterprises can reduce the time, complexity, and cost of building AI-ready infrastructure.
    Elastic, rapid deployment

  • Flexible multi-model support

    • Support for more than 505050 mainstream AI models enables enterprises to switch models according to business requirements. The AI Gateway incorporates vector-based memory capabilities to help address cross-model context continuity and improve the efficiency of enterprise AI applications.
    Flexible multi-model support

  • Global low-latency connectivity

    • Our global DCI backbone covers 656565 data centers across China, as well as strategic nodes in Southeast Asia, Japan, and other key markets. With cross-border latency of less than 202020 ms and bandwidth capacity exceeding 100100100 Gbps, enterprises can move data reliably and efficiently across regions.
    Global low-latency connectivity

  • Full-stack integration of AI models, network, and compute

    • CypressTel brings together compute orchestration, high-performance network transport, and AI model services in one integrated architecture. This enables efficient resource coordination and supports enterprise AI use cases through a single service platform.
    Full-stack integration of AI models, network, and compute

Use Case

Get in Touch with Our Experts

Get in Touch with Our Experts

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  • Last-Mile Access
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  • Data Center Services
  • Cloud Direct Connect
  • Cloud Managed Service
  • One2C Multi-Cloud Management Platform
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