Solution
Tailored solutions to address industry challenges
The unique requirements of the education and healthcare industries determine that their IT infrastructure must closely match industry-specific application scenarios and personalized needs.Our Education & Healthcare Server Chassis Solution is designed around the core challenges of both industries while balancing shared requirements and differentiated application needs.
As core sectors related to public welfare and essential services, the education and healthcare industries are accelerating their digital transformation. Server chassis, as the core hardware carrier of IT infrastructure, directly affect system stability, data security, and scenario adaptability.
The education industry supports key scenarios such as smart teaching, research computing, and campus management. Its core requirements focus on cost-effectiveness, easy maintenance, scalability, and multi-terminal access.
The healthcare industry supports critical tasks such as clinical diagnosis, medical data storage, and scientific research. It has strict requirements for high reliability, low noise, data security, medical compliance, and dedicated medical interface compatibility.
Standard server chassis can no longer fully meet the personalized requirements of these two industries. Based on deep customization capability, this solution provides full-chain customization services from single chassis to full-rack cluster systems, helping the education industry achieve smart infrastructure upgrades and helping the healthcare industry support precise diagnosis and efficient research.
This solution is built around four core principles:
Industry-specific scenario adaptation
Core pain point resolution
Business continuity assurance
Strong data security protection
It provides customized server chassis solutions for both education and healthcare scenarios, balancing shared requirements with industry-specific needs.
For campuses with limited budgets, the solution optimizes materials and manufacturing processes while maintaining reliable performance.
It supports small-batch customization and is suitable for:
Campus server rooms
Computer laboratories
Research platforms
Multimedia classrooms
Campus edge nodes
This balances practicality, reliability, and cost control.
The modular and hot-swappable design simplifies campus maintenance.
Key benefits include:
80% shorter fault location and component replacement time
Lower maintenance labor costs
Remote management support
Centralized control of multiple server rooms and nodes
This is especially suitable for schools with limited IT maintenance staff.
The chassis reserves sufficient expansion space for smart teaching and research computing upgrades.
It supports flexible hardware upgrades and protects 3–5 years of investment, meeting computing requirements from basic teaching to advanced scientific research.
The solution covers:
Campus core server rooms
Computer laboratories
Multimedia classrooms
Libraries
Campus edge nodes
It supports access to teaching terminals, research equipment, monitoring systems, and other campus devices.
It can also support iBMC management network port integration, providing fault diagnosis, automated maintenance, and hardware security reinforcement.
The solution adopts redundancy design for power supplies, fans, and drives.
Key specifications include:
MTBF ≥150,000 hours
7×24 high-load stable operation
Annual downtime ≤5 minutes
This meets zero-interruption requirements for clinical diagnosis, intensive care, data storage, and long-term research scenarios such as sleep medicine centers.
Built-in hardware encryption modules support:
Medical data encryption
Anti-tamper protection
Physical anti-disassembly design
Secure storage of multimodal medical data
The solution can meet medical data protection requirements such as Level 3 or above security protection standards and HIPAA-related compliance requirements.
It is suitable for secure storage of:
Outpatient medical records
Traditional Chinese medicine diagnostic data
Polysomnography data
Imaging data
Patient privacy data
The silent cooling design controls noise at ≤45dB, making it suitable for:
Hospital consulting rooms
ICUs
Laboratories
Sleep monitoring environments
The solution also supports wide-temperature operation, dust resistance, and electromagnetic interference protection.
It can meet the requirements of localized open-source AI agent deployment, including compact size, easy deployment, and strong environmental adaptability.
Customized medical I/O interfaces can support medical terminals such as:
CT equipment
MRI systems
Ultrasound devices
Monitoring equipment
Laboratory testing devices
The solution supports real-time medical data transmission and synchronization, as well as AI accelerator deployment for medical AI algorithm training and clinical research.
Campus core server rooms support educational administration systems, student information systems, teaching resources, and campus cloud platforms.
Key challenges include:
High stability requirements
Growing data storage pressure
Limited IT maintenance staff
Limited budget
Special requirements for redundant power supply bays
Mainly based on 2U / 4U rackmount chassis, with a depth of 700–900mm.
Features include:
SECC galvanized steel structure
Load capacity ≥100kg
Strong electromagnetic interference resistance
Modular internal layout
Decoupled computing, storage, and power modules
1+1 redundant power supply bay
Support for 900W or higher hot-swappable redundant power supplies
The intelligent constant-temperature air cooling system adopts:
Front-to-back airflow
Independent airflow zones for CPU, drives, and power supply
Industrial-grade fans
N+1 fan redundancy
Dynamic fan speed adjustment
Core component temperature can be controlled below 65°C, ensuring long-term stable operation.
Supports:
8–24 hot-swappable drive bays
3.5" / 2.5" SAS / SATA drives
4–6 PCIe 4.0 expansion slots
High-speed network cards
Storage expansion cards
ATX / ITX motherboards
Dual-CPU deployment
This meets the storage and computing needs of teaching resources, student data, campus cloud platforms, and administration systems.
The hot-swappable design allows drives, fans, and power supplies to be replaced without shutdown.
Integrated remote management supports:
IPMI / Redfish protocols
Centralized multi-device management
Remote fault diagnosis
Reduced on-site maintenance workload
The solution optimizes materials and manufacturing processes to control costs while maintaining reliable performance.
Computer laboratories have high usage frequency and many users, making them vulnerable to hardware damage and dust accumulation.
Key challenges include:
Limited laboratory space
Strict requirements for chassis size and cabling
Different training requirements across majors
Hardware compatibility needs
Batch management and maintenance requirements
Supports:
1U / 2U rackmount chassis
Tower chassis
600–700mm chassis depth
Sealed structure
Dust filter design
Wear-resistant and easy-clean powder coating
Reinforced frame structure
This improves durability in high-frequency teaching environments.
Supports:
Intel i5 / i7 / i9 processors
Intel Xeon processors
ATX / ITX motherboards
Discrete graphics cards
Training-specific expansion cards
USB and HDMI interfaces
Multi-drive configurations
Suitable for computer science, electronic information, and other practical training scenarios.
The system uses efficient air cooling with optimized airflow.
Key features include:
Low-noise fans
Noise level ≤50dB
Smart fan speed control
Stable operation during training sessions
This maintains a quiet and reliable teaching environment.
The integrated management interface supports:
Batch device monitoring
Batch maintenance
Unified upgrades
Standardized spare parts
Physical locks to prevent unauthorized disassembly
This reduces laboratory maintenance costs and minimizes teaching interruptions.
Smart teaching nodes are deployed in classrooms, libraries, campus corners, and multimedia spaces.
Key challenges include:
Distributed deployment
Limited space
Limited power supply
Multi-terminal access
Local storage and real-time transmission of teaching and monitoring data
Difficult maintenance
The solution uses:
Short-depth 1U chassis, 500–600mm
Wall-mounted chassis
Aerospace-grade aluminum alloy
Sealed reinforced structure
IP54 dust and water resistance
Compared with traditional chassis:
Volume is reduced by 40%
Weight is reduced by 30%
Suitable for classrooms, libraries, and compact campus environments.
Key specifications include:
Standby power ≤40W
Wide-temperature operation from 0°C to 50°C
Noise level ≤45dB
Low-power thermal design
This ensures stable operation without special air-conditioning equipment.
Customized interfaces support:
Multimedia projectors
Audio systems
Surveillance cameras
Library terminals
Campus LAN integration
Local teaching data processing
Local monitoring data processing
The system can synchronize data with the campus core platform.
Integrated remote management supports:
IPMI / Redfish protocols
Batch monitoring of edge nodes
Remote fault alerts
Remote maintenance
This reduces on-site maintenance requirements and ensures uninterrupted smart teaching and campus monitoring.
University research workloads often require high computing power and support for GPU accelerators and high-performance CPUs.
Key challenges include:
High thermal pressure
Massive research data storage
High data security requirements
Fast research model iteration
Open-source AI agent local deployment requirements
High compatibility and stability demands
The solution uses 4U rackmount chassis with a depth of 900–1000mm.
Supports:
Intel Xeon processors
AMD EPYC processors
NVIDIA A100 / A800 GPUs
CPU + AI acceleration architecture
Optimized internal cabling
Reinforced fully welded SECC galvanized steel structure
Load capacity ≥120kg
This supports local deployment of open-source AI agents and high-performance scientific research computing.
The system adopts hybrid cooling combining high-efficiency air cooling and partial liquid cooling.
Key features include:
Core component temperature below 60°C
Industrial high-static-pressure fans
N+1 redundancy
MTBF ≥150,000 hours
Intelligent thermal control
This prevents thermal throttling and supports long-term research workloads.
Supports:
6–8 full-height, full-length PCIe 5.0 slots
GPU accelerators
High-speed network cards
Research-specific expansion cards
Multi-channel drive controllers
RAID 5 / RAID 6 redundancy
Mainstream research software
Open-source AI models
This enables flexible integration with various scientific research tools.
Built-in hardware encryption supports secure storage and transmission of research data.
Integrated chassis-level BMC management supports:
Real-time hardware monitoring
Remote alarms
Log retention
Fault diagnosis
The modular design allows core components to be upgraded quickly without replacing the entire system, reducing research infrastructure costs.
Clinical diagnosis environments include consulting rooms, ICUs, and imaging diagnosis centers.
They support:
CT and MRI image processing
Ultrasound data processing
Real-time patient monitoring data transmission
Sleep monitoring and multimodal data collection
Key challenges include:
Extremely high stability and low latency requirements
Noise-sensitive environments
Medical-specific interface requirements
Patient privacy protection
Medical compliance requirements
Mainly based on 2U / 4U rackmount chassis with a depth of 800–1000mm.
Features include:
Reinforced SECC galvanized steel structure
Fully welded framework
Load capacity ≥120kg
Strong anti-EMI protection
Dual-node redundant architecture
Hot standby deployment
This ensures uninterrupted real-time medical data transmission.
The solution combines silent air cooling and passive thermal design.
Key features include:
Noise level ≤45dB
Front-to-back airflow
Independent airflow zones for CPU, drives, and power supply
Core component temperature below 60°C
Intelligent fan speed control
Suitable for consulting rooms, ICUs, laboratories, and sleep monitoring environments.
Customized medical I/O interfaces support:
DICOM interfaces
Medical Ethernet interfaces
CT systems
MRI systems
Ultrasound devices
Patient monitors
The system also supports:
Dual high-performance CPUs
GPU accelerators
Medical AI-assisted diagnosis
Medical encryption modules
Medical-grade motherboards
Security features include:
Built-in hardware encryption
Patient privacy data encryption
Anti-tamper protection
Physical lock and anti-disassembly alarm
Chassis-level BMC management
Remote alarm and log retention
Operation log retention for more than one year
The chassis can support HIPAA-related requirements and Level 3 or above medical data security protection standards.
The rounded-edge surface design also supports medical device safety requirements.
Medical data is growing exponentially, including:
Patient medical records
Imaging data
Clinical diagnosis records
Research data
Sleep disorder specialty data
Some medical data may need to be retained for more than 30 years.
Key challenges include:
Large storage capacity requirements
Long-term data retention
High drive stability requirements
Disaster recovery support
Patient privacy protection
Medical compliance requirements
The solution uses 3U / 4U high-density storage chassis.
Supports:
16–48 hot-swappable drive bays
3.5" / 2.5" SAS / SATA / NVMe drives
Modular drive bay design
Multi-chassis deployment per rack
Storage density improvement of more than 50%
Suitable for long-term storage of outpatient records, TCM diagnostic data, PSG data, imaging data, and research datasets.
The system adopts partitioned drive cooling.
Key features include:
Independent airflow channel for each drive bay
High-static-pressure low-noise fans
Drive temperature below 55°C
Annual drive failure rate ≤0.5%
Anti-vibration drive trays
Anti-static drive protection
Intelligent temperature control
This ensures long-term secure storage of medical data.
Supports:
Storage-optimized motherboards
Multi-channel drive controllers
PCIe 4.0 / 5.0 expansion slots
High-speed backup cards
Disaster recovery interfaces
SAN / NAS storage systems
Clinical diagnosis systems
Medical research systems
Backup latency can be controlled within 1 minute.
Supports full hot-swappable design for:
Drives
Fans
Power supplies
Integrated remote management supports:
IPMI / Redfish protocols
Real-time drive status monitoring
Predictive drive failure alerts
Data encryption interfaces support secure storage of patient privacy data and research data.
Medical research workloads such as drug development and AI-assisted diagnosis model training require high computing power and multi-GPU support.
Key challenges include:
High GPU thermal pressure
High data precision and confidentiality
Fast research model iteration
Hardware upgrade flexibility
Research data and computing log traceability
Local open-source AI agent deployment requirements
The solution uses 4U rackmount chassis with 900–1000mm depth.
Supports:
Intel Xeon processors
AMD EPYC processors
NVIDIA H100 / A100 GPUs
CPU + AI acceleration architecture
Multi-task parallel processing
Reinforced steel structure
Fully welded frame
This solves the problem of insufficient computing power in ordinary hardware platforms.
The solution supports:
Cold plate liquid cooling
Immersion liquid cooling
Core temperature reduction of more than 20°C
Industrial high-reliability fans
N+1 redundancy
MTBF ≥150,000 hours
Intelligent thermal control
This supports long-term medical research computing tasks.
Supports:
6–8 full-height, full-length PCIe 5.0 slots
GPU accelerators
High-speed network cards
Research-specific expansion cards
Multi-channel drive controllers
RAID 6 redundancy
TensorFlow
PyTorch
Medical research platforms
Open-source AI models
This supports AI-assisted diagnosis, drug research, and medical algorithm development.
Integrated compliance audit modules support:
Research computing log retention
Data transmission records
Traceable and auditable operations
Built-in hardware encryption protects research data and prevents research results from being leaked.
The modular design allows core components to be upgraded quickly without replacing the entire system.
Edge healthcare environments include community hospitals, clinics, and mobile medical vehicles.
Key challenges include:
Limited space
Mobile vibration and shock
Temperature and humidity fluctuations
Limited power supply
Shortage of maintenance staff
Compatibility with small medical devices
Local secure storage of patient privacy data
Compact and easy deployment requirements
The solution uses a sealed reinforced structure with:
IP54 dust and water resistance
Anti-corrosion coating
Fully reinforced steel frame
Vibration and shock resistance
Compact 1U wall-mounted / embedded structure
Low-noise design
It can be deployed without a dedicated equipment room.
Key specifications include:
Standby power ≤50W
Wide-temperature operation from -10°C to 60°C
Noise level ≤45dB
Low-power cooling design
Suitable for community hospitals, clinics, and mobile medical vehicles.
Customized I/O interfaces support small medical devices such as:
Portable ultrasound devices
Blood glucose meters
ECG machines
The solution also supports:
Real-time medical data transmission
Low-power CPUs
Small-form-factor motherboards
Local patient data processing
Medical encryption modules
Local encrypted data storage
Integrated remote management supports:
IPMI / Redfish protocols
Remote monitoring
Remote maintenance
Real-time hardware data upload to the core hospital data center
Security features include:
Physical locks
Anti-tamper design
Local data protection
7×24 uninterrupted operation
This helps ensure medical compliance and protects patient privacy.
Main materials include:
SECC galvanized steel
Reinforced steel for education core rooms and medical clinical scenarios
Aerospace-grade aluminum alloy for edge scenarios
CFRP composite materials for special research applications
Surface treatment includes:
Anti-corrosion and easy-clean powder coating for medical scenarios
Wear-resistant and easy-maintenance coating for education scenarios
The solution adopts:
Precision sheet metal fabrication
CNC machining
±0.5mm tolerance accuracy
Fully welded reinforced structure
Modular architecture
Rounded-edge medical safety design
This ensures installation accuracy, structural strength, safety, and convenient maintenance.
The system uses:
Front-to-back airflow
Independent airflow zones for CPU, drives, power supplies, and expansion cards
Hot-air short-circuit prevention
Cold aisle and in-row cooling compatibility
Cooling efficiency is improved by more than 30%, helping reduce PUE to ≤1.3.
Supports:
Air cooling
Hybrid air + liquid cooling
Cold plate liquid cooling
Immersion liquid cooling
Silent air cooling + passive cooling
For education research and medical research scenarios, liquid cooling can reduce core component temperature by 15–20°C.
For clinical and edge healthcare scenarios, low-noise cooling is prioritized.
The solution uses industrial-grade high-reliability fans with:
MTBF ≥150,000 hours
N+1 redundancy
Low-noise fans for medical and classroom environments
Noise level ≤45dB
Intelligent temperature control
Supports:
Intel Xeon
AMD EPYC
Intel i5 / i7 / i9
ATX / EEB / ITX / custom motherboards
1U / 2U / high-power redundant power supplies
PCIe 4.0 / 5.0
Teaching and research expansion cards
Medical-specific interfaces
Medical encryption modules
Imaging equipment interfaces
Domestic hardware platforms
Open-source AI models
Research software platforms
Supports:
Multiple PCIe expansion slots
Up to 48 hot-swappable drive bays
Flexible 1–8 GPU configurations
Multi-generation hardware upgrades
Edge interface expansion
Long-term investment protection for 3–5 years
The solution supports:
Lightning protection
Anti-static protection
Over-current protection
Over-voltage protection
Physical locks
Anti-tamper design
Anti-disassembly alarm for medical scenarios
Hardware encryption modules
Data encryption and anti-tampering
EMC electromagnetic interference protection
For healthcare scenarios, the design also helps prevent interference with diagnostic equipment.
The solution supports:
CE certification
FCC certification
CCC certification
ISO9001 quality management
Campus IT equipment safety standards
HIPAA-related medical data protection requirements
Level 3 or above medical data security protection standards
Medical equipment safety requirements
Each chassis undergoes:
High-temperature testing
Vibration testing
EMC testing
Security encryption testing
Low-noise testing for medical scenarios
Compliance testing for medical applications
Complete testing reports and compliance documents can be provided.
A customized 4U rackmount chassis was developed for a university core server room.
Configuration:
Dual Intel Xeon CPUs
16 drives
1+1 hot-swappable redundant power supplies
PCIe 4.0 expansion
iBMC management network port
Results:
7×24 stable operation
80% improvement in maintenance efficiency
Support for teaching and office needs of tens of thousands of teachers and students
Automated maintenance and hardware security reinforcement
A customized 4U liquid-cooled chassis was developed for a university computer science department.
Configuration:
4 NVIDIA A100 GPU accelerators
Liquid cooling system
Open-source AI agent local deployment support
Research model training support
Results:
Core component temperature below 55°C
Data transmission latency reduced by 35%
Improved efficiency for AI and big data research
Flexible expansion for future model iteration
A customized compact 1U chassis was developed for a school computer laboratory.
Configuration:
Compact chassis structure
Low-noise design, ≤50dB
Desktop CPU and discrete GPU support
Batch management support
Results:
300 devices deployed across 20 computer labs
Maintenance cost reduced by 60%
Hardware failure rate reduced below 0.3%
Support for basic teaching and IT training
A customized 4U low-noise chassis was developed for a top-tier hospital imaging diagnosis center.
Configuration:
Silent cooling system, ≤42dB
Dual Intel Xeon CPUs
GPU accelerators
Customized DICOM interface
Medical data security protection
Results:
Fast CT and MRI image processing
MTBF ≥150,000 hours
7×24 uninterrupted operation
Medical data security compliance
Support for AI-assisted diagnosis model training and deployment
A customized 4U liquid-cooled chassis was developed for a medical research institute.
Configuration:
8 GPU accelerators
Hardware encryption module
Compatibility with research software and open-source AI models
Multimodal medical data processing support
Results:
Core component temperature below 50°C
Secure protection of research data
Support for drug research and AI-assisted diagnosis model training
Support for sleep medicine multimodal research data processing
A customized 1U wall-mounted chassis was developed for a community hospital.
Configuration:
IP54 dust and water resistance
Wide-temperature operation
Low-power operation, standby power ≤45W
Small medical device compatibility
Remote management module
Results:
Remote operation and maintenance
Lower maintenance costs
Secure local storage of patient diagnosis data
No dedicated equipment room required
Fast deployment in edge healthcare scenarios
7×24 dedicated technical consultation for education and healthcare
Preliminary solution within 24 hours
Dedicated project team support
Education projects focus on budget optimization
Healthcare projects focus on compliance adaptation
ISO9001 quality management system
Full inspection before shipment
High-temperature testing
Vibration testing
EMC testing
Low-noise testing for healthcare scenarios
Medical compliance testing when required
MTBF ≥150,000 hours
For healthcare scenarios, compliance testing reports can be provided.
Supports:
Prototype from one unit
Large-volume fast delivery
Structural customization
Thermal customization
Interface customization
Appearance customization
Open-source AI agent local deployment requirements
Education scenarios can be optimized for campus budgets and teaching needs.
Healthcare scenarios can be customized for clinical, research, and compliance requirements.
1–3 year warranty
Lifetime technical support
Spare parts inventory
Fault response within 24 hours
On-site maintenance support
Medical compliance filing assistance when required
Campus equipment debugging and training
Dedicated technical support for research scenarios
The company invests 8% of annual revenue into R&D and cooperates with universities, hospitals, medical equipment manufacturers, and domestic hardware vendors to continuously improve:
Scenario adaptation
Thermal management
Compliance design
Education smart infrastructure
Healthcare digitalization
Scientific research computing
Open-source AI hardware compatibility
This ensures that the solution continues to evolve with the digital transformation needs of the education and healthcare industries.
