AI Computing Center Solutions

Professional planning, design, and construction of enterprise-level AI computing centers, providing full-stack support from hardware to software

Computing Center Overview

High-performance computing infrastructure designed specifically for large-scale AI training and inference

High-Density Computing Clusters

High-density computing clusters based on NVIDIA A100/H100/H200 GPUs or TPUs, providing PFlops-level computing power

High-Speed Interconnect Network

Ultra-low latency, high-bandwidth network architecture based on InfiniBand or RoCE, supporting distributed training

Efficient Cooling System

Liquid cooling, air cooling, or hybrid cooling solutions, optimizing PUE and reducing operational costs

Stable Power Supply

High-reliability power system design, including UPS and backup generators, ensuring continuous operation of the computing center

AI Software Platform

Integrated deep learning frameworks, distributed training tools, and resource scheduling systems to improve resource utilization

Monitoring & Management

Comprehensive monitoring and management system, real-time monitoring of hardware status, resource utilization, and task progress

Technical Architecture

Professional multi-tier AI computing center architecture design

Hardware Architecture

Our AI computing center adopts a modular design that can be flexibly expanded according to requirements, supporting scales from dozens to thousands of GPUs.

Compute Node Configuration

GPU Servers: 8×NVIDIA H100/A100 GPUs, dual Intel Xeon CPUs, 2TB memory
Storage Nodes: High-performance NVMe storage arrays, providing PB-level storage capacity
Management Nodes: Responsible for cluster management, monitoring, and job scheduling

Scalability

Support for horizontal and vertical scaling, allowing seamless addition of compute nodes or upgrades to existing nodes based on business needs.

Solution Models

We provide AI computing center solutions of various scales to meet different enterprise needs

Entry Level

Suitable for SMEs or R&D departments

8-32 GPUs (NVIDIA A100/H100)
100Gbps InfiniBand Network
Air Cooling + Cold Aisle Containment
100TB-1PB Storage Capacity
Basic AI Software Platform

Standard Level

Suitable for medium to large enterprises or AI professional teams

64-256 GPUs (NVIDIA A100/H100)
200Gbps InfiniBand Network, Fat Tree Topology
Direct Liquid Cooling System
1-5PB High-Performance Storage
Complete AI Software Stack and Management Platform

Enterprise Level

Suitable for large enterprises or professional AI research institutions

512 to thousands of GPUs (NVIDIA H100/H200)
400Gbps InfiniBand Network, Multi-level Fat Tree
Immersion Cooling or Hybrid Cooling System
10PB+ Distributed Storage System
Customized AI Platform and Toolchain

Implementation Process

We provide end-to-end AI computing center planning, design, construction, and operation services

Requirement Analysis

In-depth understanding of enterprise AI strategy and business needs, determining computing scale and technical route

Solution Design

Design hardware architecture, network topology, cooling system, and software platform, forming a complete solution

Infrastructure Construction

Computer room renovation, power system, cooling system, and network system construction

System Deployment

Hardware installation, software deployment, system integration, and testing

Operation Support

System operation and maintenance, performance optimization, technical training, and upgrade services

Success Stories

We have successfully built AI computing centers for multiple enterprises and research institutions

Major Financial Institution

256-node H100 GPU Cluster

Built a large-scale AI computing center based on NVIDIA H100 for the customer, supporting risk control model training and real-time inference, with a 10x increase in processing capacity and an 80% reduction in model training time.

AI Research Institution

1024-node Mixed GPU Cluster

Built a leading AI research computing center in China, using immersion cooling technology, with PUE as low as 1.03, supporting large-scale language model and multimodal model training.

Internet Company

512-node A100 GPU Cluster

Created a modular and scalable AI computing center for the customer, supporting recommendation system and content generation model training, with a 40% increase in resource utilization and a 30% reduction in operational costs.