Solution
Tailored solutions to address industry challenges
The rapid development of the internet industry has placed higher requirements on IT infrastructure in terms of computing power, stability, scalability, and energy efficiency. As the core hardware carrier of server systems, the customization level of server chassis directly affects user experience, business continuity, infrastructure efficiency, and overall operating costs.
As a leading force in digital transformation, the internet industry supports critical business operations such as cloud computing, big data, artificial intelligence, live streaming, e-commerce platforms, and edge computing. The stability, efficiency, and scalability of IT infrastructure directly determine user experience, service reliability, and market competitiveness.
As the core hardware carrier of server systems, server chassis play a key role in ensuring 7×24 uninterrupted internet services, supporting computing power upgrades, and controlling operation and maintenance costs.
Unlike the education and healthcare industries, which often have more diversified and application-specific requirements, the internet industry focuses on:
High computing power adaptation
High-density deployment
Low PUE energy efficiency
Fast maintenance response
Flexible expansion
Full-scenario compatibility
Standard server chassis can no longer fully meet the needs of internet companies, which are characterized by rapid business iteration, surging computing demand, and diverse deployment environments.
Based on deep customization capability, this solution focuses on the core scenarios and pain points of the internet industry. It provides full-chain customization services from single chassis to full-rack cluster systems, helping internet enterprises build lightweight infrastructure, improve maintenance efficiency, expand computing power flexibly, and support continuous high-speed business growth.
This solution is built around four core principles:
Computing power adaptation
Efficient operation and maintenance
Energy saving and power reduction
Flexible expansion
It provides customized server chassis solutions for key internet industry scenarios, including:
Cloud computing
Big data
Edge computing
AI computing infrastructure
The solution precisely matches the business characteristics of internet enterprises while balancing practicality and future scalability.
The internal chassis layout is optimized to support:
Multiple GPU accelerators, from 1 to 8 cards
Dual-socket or multi-socket high-performance CPUs
Cloud computing workloads
AI training and inference
Big data analytics
The high-density design increases the number of servers deployed per rack, saves data center space, reduces server room leasing costs, and supports large-scale computing infrastructure deployment.
The thermal system is optimized for data center cold aisle containment and in-row cooling deployment.
Key benefits include:
PUE reduced to below 1.2
Lower data center energy consumption
Intelligent temperature control
Low-power cooling components
Modular power supply design
This helps internet companies reduce operating costs and meet green, low-carbon infrastructure goals.
The full modular hot-swappable design supports fast replacement of:
Hard drives
Fans
Power supplies
Fault location and component replacement can be completed within minutes.
The integrated intelligent management module supports:
IPMI / Redfish protocols
Multi-node centralized management
Multi-room remote operation and maintenance
Fault alarms
Log retention
This reduces labor costs and supports efficient large-scale infrastructure management.
The chassis reserves sufficient expansion capacity, including:
PCIe 4.0 / 5.0 expansion slots
Up to 48 drive bays
Flexible GPU expansion
Multi-generation hardware upgrades
It is compatible with:
Mainstream open-source AI models
Cloud computing platforms
Big data processing software
Domestic hardware platforms
This protects 3–5 years of hardware investment and supports the full lifecycle of internet businesses from startup to scale.
The solution covers multiple deployment environments, including:
Data centers
Edge nodes
Outdoor equipment rooms
Live streaming base stations
CDN edge nodes
Customized protection designs support:
Wide-temperature operation
Dust resistance
Electromagnetic interference protection
Outdoor and edge deployment stability
This ensures reliable operation in complex environments.
Cloud computing data centers support massive user access, cloud server leasing, virtual desktops, public cloud, private cloud, and hybrid cloud services.
Key challenges include:
Extremely high requirements for stability and high-density deployment
Limited server room space
Need to maximize rack density
Large fluctuations in computing demand
Fast hardware expansion and upgrade requirements
Multi-node and multi-room maintenance pressure
High energy costs
Need for local deployment of open-source AI agents in some scenarios
Mainly based on 1U / 2U / 4U rackmount chassis, with depth optimized to 600–1000mm for different cabinet specifications.
The compact internal layout highly integrates computing, storage, and power modules.
Configuration examples:
1U chassis supports dual CPUs and multiple SSD drives
4U chassis supports up to 8 GPU accelerators
Rack deployment density increased by more than 30%
Reinforced SECC galvanized steel structure
Load capacity ≥120kg
Support for CPU + AI acceleration architecture
This meets the requirements of cloud computing and localized open-source AI agent deployment.
The cooling system uses:
Front-to-back airflow
Independent cooling zones for CPU, GPU, drives, and power modules
Cold aisle containment compatibility
Industrial high-static-pressure smart fans
N+1 fan redundancy
Dynamic fan speed control
Cooling efficiency is improved by 35%, and PUE can be reduced to below 1.2.
Optional liquid cooling solutions include:
Cold plate liquid cooling
Immersion cooling
Core component temperature can be controlled below 55°C, supporting long-term high-load operation in large-scale cloud computing nodes.
The chassis reserves:
6–8 full-height, full-length PCIe 5.0 expansion slots
16–48 hot-swappable drive bays
Supports:
High-speed network cards
GPU accelerators
Storage expansion cards
3.5" / 2.5" SAS / SATA / NVMe drives
ATX / EEB / ITX server motherboards
Intel Xeon and AMD EPYC processors
Domestic hardware platforms
OpenStack and VMware cloud platforms
Mainstream open-source AI models
This enables flexible integration with internet business systems.
The full hot-swappable design allows drives, fans, and power supplies to be replaced without shutdown.
Key capabilities include:
Fault response time ≤10 minutes
Chassis-level BMC intelligent management
Remote monitoring
Fault alarms
Log retention
Centralized multi-node management
Large-volume customization
Cost-optimized material and process design
This supports zero-interruption cloud service maintenance and reduces infrastructure operating costs.
Internet businesses generate exponential growth in user data, log data, transaction data, and behavior data.
Key challenges include:
Extremely high storage density requirements
High data read/write performance
Long-term data retention
Multi-drive parallel access
Fast replacement of failed drives
Support for multimodal data storage
Compatibility with big data analytics platforms
The solution uses 3U / 4U high-density storage chassis.
It supports:
24–48 hot-swappable drive bays
Multiple storage chassis per rack
Storage density improved by more than 50%
Fast-swap drive tray design
Modular storage layout
Flexible expansion according to data growth
This meets massive-scale data storage and multimodal data storage requirements.
The system adopts independent drive-zone cooling.
Key features include:
Dedicated airflow channel for each drive bay
High-static-pressure low-noise fans
Drive temperature controlled below 50°C
Annual drive failure rate ≤0.3%
Anti-vibration drive trays
Anti-static protection
Intelligent temperature control
This ensures long-term stable and secure data storage.
Supports:
Storage-optimized motherboards
Multi-channel drive controllers
PCIe 4.0 expansion
High-speed network cards
Storage acceleration cards
SAN / NAS / object storage systems
Hadoop and Spark big data platforms
Open-source AI model integration
This improves data transmission efficiency and supports real-time data reading, analysis, and AI-driven applications.
Supports:
Hot-swappable drives
Hot-swappable fans
Hot-swappable power supplies
IPMI / Redfish remote management
Predictive drive failure alerts
Hardware encryption modules
Encrypted data storage and transmission
This protects user data and core business data while reducing storage system maintenance impact.
AI training and inference require extremely high computing power and support for multiple high-power GPU accelerators.
Key challenges include:
High thermal pressure from GPUs
Risk of thermal throttling
Fast AI model iteration
Need for quick hardware upgrades
High compatibility requirements
Local deployment of open-source AI agents
Long-term high-load operation
The solution uses 4U rackmount chassis with 900–1000mm depth.
It supports:
Intel Xeon / AMD EPYC high-performance CPUs
1–8 GPU accelerators
NVIDIA H100 / A100 / A800 GPUs
Optimized internal cable routing
CPU + AI acceleration architecture
Multi-task parallel processing
The reinforced fully welded SECC galvanized steel structure provides load capacity of more than 150kg, suitable for heavy GPU deployment.
The cooling system supports:
Cold plate liquid cooling
Immersion liquid cooling
Hybrid air + liquid cooling
Industrial-grade high-reliability fans
N+1 fan redundancy
Intelligent thermal control
Core component temperature can be reduced by more than 20°C, preventing AI training and inference performance throttling.
The chassis reserves:
6–8 full-height, full-length PCIe 5.0 expansion slots
Supports:
GPU accelerators
High-speed network cards
AI-specific expansion cards
Multi-channel drive controllers
RAID 6 redundancy
TensorFlow
PyTorch
AI training platforms
Open-source AI models
This helps internet AI businesses quickly adapt to model iteration and computing power upgrades.
The modular architecture allows core components such as CPUs, GPUs, and power supplies to be upgraded quickly without replacing the entire system.
Integrated chassis-level BMC management supports:
Real-time hardware monitoring
Remote alerts
Log retention
Remote troubleshooting
Anti-vibration and anti-EMI design improve stability and help prevent interruption of AI training and inference tasks.
Edge computing nodes are often deployed across campuses, communities, outdoor sites, live streaming base stations, and CDN nodes.
Key challenges include:
Distributed deployment
Difficult maintenance
Temperature and humidity fluctuations
Dust exposure
Unstable power supply
Limited installation space
Low-power operation requirements
Multi-terminal access
Real-time data transmission
Outdoor protection requirements
The solution uses:
Short-depth 1U chassis, 500–600mm
Wall-mounted chassis
Aerospace-grade aluminum alloy
Sealed reinforced structure
Compared with conventional designs:
Volume is reduced by 40%
Weight is reduced by 30%
Protection features include:
IP54 or higher protection
Anti-corrosion coating
Vibration and impact resistance
Low-noise design
Suitable for outdoor live streaming stations, vehicle-mounted edge nodes, campus edge deployments, and compact cabinets.
The system adopts low-power hardware and optimized cooling.
Key specifications include:
Standby power ≤40W
Wide-temperature operation from -10°C to 60°C
Noise level ≤45dB
Smart temperature control
Low-power fan design
This reduces energy pressure and supports stable operation in edge environments.
Customized interfaces support:
Edge gateways
Live streaming equipment
CDN node devices
Multi-terminal data access
5G modules
IoT terminals
Core data center synchronization
Mainstream edge computing platforms
This enables fast deployment of internet edge services.
Integrated remote management supports:
IPMI / Redfish protocols
Batch monitoring of edge nodes
Fault alarms
Real-time hardware data upload
Centralized operation and maintenance
Remote diagnostics
This reduces on-site maintenance requirements and ensures uninterrupted edge services.
Main materials include:
SECC galvanized steel
Reinforced 1.2–1.5mm steel for data center core scenarios
Aerospace-grade aluminum alloy for edge scenarios
CFRP composite materials for AI computing scenarios
Surface treatment adopts wear-resistant and anti-corrosion powder coating, suitable for data centers, outdoor edge environments, and high-density computing deployments.
The solution uses:
Precision sheet metal fabrication
CNC machining
±0.5mm tolerance accuracy
Fully welded reinforced structures
Modular architecture
Sealed process for edge scenarios
This ensures high installation accuracy, structural strength, maintenance convenience, and environmental protection performance.
The system adopts:
Front-to-back airflow
Independent airflow zones for CPU, GPU, drives, power modules, and expansion cards
Hot-air short-circuit prevention
Cold aisle containment and in-row cooling compatibility
Cooling efficiency is improved by 35%, helping reduce PUE to ≤1.2.
Supports:
Air cooling
Hybrid cooling
Cold plate liquid cooling
Immersion liquid cooling
For AI computing and data center core scenarios, liquid cooling can reduce core component temperature by more than 15–20°C.
For edge scenarios, low-power air cooling balances thermal performance and energy efficiency.
The solution uses industrial-grade high-reliability fans with:
MTBF ≥150,000 hours
N+1 redundancy
High-static-pressure options for data centers
Low-noise and dustproof options for edge and outdoor scenarios
Intelligent temperature control
This improves stability while reducing energy costs.
Supports:
Intel Xeon
AMD EPYC
ATX / EEB / ITX / custom motherboards
1U / 2U / high-power redundant power supplies
PCIe 4.0 / 5.0
1–8 GPU accelerators
3.5" / 2.5" SAS / SATA / NVMe drives
Domestic hardware platforms
Mainstream open-source AI models
Internet business software
Supports:
Multiple PCIe expansion slots
Up to 48 hot-swappable drive bays
Flexible GPU expansion from 1 to 8 cards
Multi-generation hardware upgrades
5G module expansion
IoT module expansion
Edge interface expansion
This protects 3–5 years of hardware investment and supports continuous business growth.
The solution supports:
Lightning protection
Anti-static protection
Over-current protection
Over-voltage protection
Physical lock and anti-tamper alarm
Hardware encryption module
Data encryption
Data anti-tampering
EMC electromagnetic interference protection
Illegal opening automatically triggers alerts.
The solution supports:
CE certification
FCC certification
CCC certification
ISO9001 quality management
Internet data center IT equipment safety standards
Domestic hardware adaptation requirements
Each chassis undergoes:
High-temperature testing
Vibration testing
EMC testing
Security encryption testing
Complete quality inspection reports can be provided for procurement and project acceptance.
A dedicated internet industry team communicates with the customer to confirm:
Application scenario
Hardware list
Performance requirements
Size limitations
Maintenance requirements
Large-scale deployment requirements
A requirement confirmation document is provided to ensure the solution matches the customer’s business needs.
The engineering team performs:
3D modeling
Thermal simulation
Structural verification
Airflow optimization
Internal layout optimization
Deliverables include:
Detailed design proposal
BOM list
Cost quotation
Computing power adaptation description
Energy-saving optimization notes
Expansion design description
The design also considers open-source AI technology trends and hardware compatibility needs.
The prototype stage includes:
Hardware compatibility testing
Thermal testing
Security testing
GPU compatibility testing for AI computing scenarios
Computing collaboration testing
Protection and low-power testing for edge scenarios
Simple structural modifications can be completed within 3–5 days, while complex AI computing or high-density storage designs may require 10–15 days.
With an in-house sheet metal fabrication workshop and automated production lines, scalable production can be achieved.
Quality inspection includes:
48-hour high-temperature and high-humidity testing
Vibration testing
EMC testing
OEM/ODM branding is supported.
Monthly capacity can reach tens of thousands of units, supporting orders from dozens to thousands of units.
Support includes:
On-site installation guidance
Hardware debugging
Large-scale deployment assistance
7×24 technical support
Internet business system integration
AI platform integration
Storage system integration
1–3 year warranty
Lifetime technical support
Spare parts inventory
Fault response within 24 hours
Dedicated support for AI computing and edge node scenarios
A customized 2U high-density rackmount chassis was developed for a leading cloud computing enterprise.
Configuration:
Dual Intel Xeon CPUs
4 GPU accelerators
24 hot-swappable NVMe drives
Cold aisle optimized thermal design
Open-source AI model compatibility
Results:
PUE reduced to 1.18
Rack deployment density increased by 35%
7×24 stable operation
Maintenance efficiency improved by 80%
Supported public cloud and virtual desktop services
Supported AI cloud service deployment
A customized 4U liquid-cooled chassis was developed for an AI technology company.
Configuration:
8 NVIDIA H100 GPUs
Liquid cooling system
Open-source AI agent local deployment support
Autonomous driving data processing support
Results:
Core component temperature below 50°C
Data transmission latency reduced by 40%
Faster AI model training and inference
Flexible hardware upgrade capability
A customized 1U wall-mounted edge chassis was developed for a leading live streaming platform.
Configuration:
IP54 dust and water resistance
Wide-temperature operation
Low-power design, standby power ≤35W
5G module integration
Remote management module
Results:
Centralized management of thousands of edge nodes
Maintenance cost reduced by 60%
Smooth live streaming service without interruption
A customized 4U high-density storage chassis was developed for a big data company.
Configuration:
48 hot-swappable drive bays
Partitioned cooling design
Hadoop platform compatibility
Multimodal data storage support
Results:
Drive failure rate reduced below 0.2%
Data read/write speed improved by 30%
Supported massive user behavior and log data storage
Improved data mining and analytics efficiency.
