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Solutions · GPU Clusters · HPC · Data Center

AI Infrastructure

Explore our enterprise-grade AI server infrastructure and comprehensive installation framework.

PowerParallelismCoolingTransportDelivery
10,560
TOPS · peak AI performance
671B Module Plan
NVIDIA Tesla H200
671B Module Plan
220V
Industrial power supply
Server deployment architecture
10GbE
Host network interface
Connectivity & I/O configuration
01 — Deployment

Power, parallelism, cooling, transport.

The four things a GPU deployment is actually judged on, plus the topology they sit in.

Server deployment architecture

Optimized data center environment engineered for peak cooling efficiency and consistent performance.

  • 220V industrial-grade power supply supporting high-performance GPU workloads
  • Multi-card parallel architecture maximizing AI computational throughput
  • Advanced cooling system maintaining optimal operating temperatures
  • Comprehensive network and storage interfaces enabling high-speed data transfer
Connectivity & I/O configuration

Enterprise-ready port ecosystem supporting diverse application requirements.

  • 10GbE network interface delivering ultra-fast data transfer rates
  • USB 3.0 interface suite for seamless peripheral integration
  • Multi-display support for comprehensive system monitoring
  • SATA/SAS interface architecture supporting extensive storage expansion
Real-time performance monitoring

Comprehensive system analytics ensuring optimal operational efficiency.

  • Real-time GPU utilization and resource allocation tracking
  • Advanced thermal management and cooling system monitoring
  • Network throughput optimization and bandwidth management
  • Storage capacity and I/O performance analytics
Fig. 01 — Cluster topology
SPINE 0125G
SPINE 0225G
LEAF Arack 1–2
LEAF Brack 3–4
LEAF Cstorage
4U · 2× H20032B plan
4U · 4× H20070B plan
4U×2 · 8× H200671B plan
SATA / SASstorage expansion

Dual 25G uplinks, 10GbE host network, SATA/SAS storage expansion.

02 — Shipping configurations

Three delivered systems.

Specified end to end — chassis, memory, processors, accelerators and network.

Table 1 — Server plans
Specification32B Module PlanSME development70B Module PlanEnterprise training671B Module PlanLLM research
Case size4U4U4U×2
Memory48G GDDR6X192G GDDR6X768G GDDR6X
AI performance1,320 TOPS2,640 TOPS10,560 TOPS
Processor2 × 32 core2 × 32 core4 × 32 core
GPU configuration2 × NVIDIA Tesla H2004 × NVIDIA Tesla H2008 × NVIDIA Tesla H200
Network interfaceDual 25GDual 25GDual 25G ×2
All three plans ship as 4U rack-mount systems.Board-level bill of materials and lead times on request.
03 — Delivery

Implementation and delivery workflow.

Streamlined end-to-end process from specification to production-ready deployment.

  1. 01

    Requirements & Specification Alignment

    Customize model size and training parameters to match your specific AI workload requirements.

  2. 02

    AI Platform Installation & Model Pre-loading

    Integrated FuFront platform with pre-configured SD, ChatGLM, Whisper and other essential modules.

  3. 03

    Quality Assurance & Secure Shipment

    Comprehensive hardware validation and testing prior to secure, insured delivery.

  4. 04

    Immediate Deployment & Training Capability

    Instant access upon power-up with intuitive interfaces for model training and management.

Request a Custom Deployment Consultation

Our technical specialists will develop a tailored implementation plan with comprehensive support