AI Server
What Is an AI Server?
In the era of artificial intelligence and big data, an AI Server is a core hardware platform that supports deep learning, image recognition, and natural language processing. Unlike traditional servers, AI Servers integrate GPU/TPU accelerator cards, high memory bandwidth, and high-speed interconnect technology to enable model training and inference with hundreds of billions of parameters.
Shenzhen Xintongtai Technology Co., Ltd., a leading AI Server Manufacturer, focuses on providing customized AI computing solutions for global customers, covering scenarios from edge computing to large-scale clusters.
Core Differences Between AI Servers and General-Purpose Servers
A General-Purpose Servers is designed for conventional tasks like web services and databases, whereas an AI Server is optimized for high-concurrency parallel computing. Below is a key comparison:
Parameter | AI Server | General-Purpose Servers |
---|---|---|
Processor Architecture | Multi-GPU/TPU acceleration (e.g., NVIDIA A100, AMD Instinct) | CPU-based (e.g., Intel Xeon, AMD EPYC) |
Memory Bandwidth | HBM2E 3.2TB/s | DDR4 51.2GB/s |
Typical Applications | Deep learning training, real-time inference | Virtualization, file storage |
Energy Efficiency (TFLOPS/W) | 15–20 | 2–5 |
For instance, an AI Server equipped with 8 NVIDIA H100 GPUs achieves FP16 performance of 1,000 TFLOPS, making it suitable for autonomous driving model training. In contrast, a general-purpose server like Intel N100 Plex Server is better suited for media streaming needs of small- to medium-sized businesses.
Efficient Cooling: Best Cooling Solutions for the i9-13900K CPU
For CPU cooling in AI Servers, the i9-13900K CPU, with a peak power consumption of 253W, requires high-performance cooling solutions. Below is a comparison of mainstream options:
Cooling Type | Cooling Capacity (TDP) | Noise (dB) | Price Range (CNY) |
---|---|---|---|
Air Cooling (Dual Tower) | 250W | 28–35 | 300–600 |
240mm Liquid Cooling | 300W | 22–30 | 600–1,200 |
360mm Liquid Cooling | 350W+ | 20–28 | 1,000–2,000 |
Shenzhen Xintongtai Technology Co., Ltd. provides CPU Coolers Wholesale services. Its custom 360mm liquid cooling systems, featuring copper cold plates and high-flow pumps, can maintain i9-13900K temperatures below 75°C under full load while reducing bulk procurement costs by 30%.
6U Server Chassis: The Hardware Foundation for High-Density AI Clusters
A 6U Server Chassis is critical for high-density deployment in data centers, offering the following advantages:
✅Scalability: Supports 12 full-height GPU slots and is compatible with OCP NIC 3.0 network modules.
✅Cooling Design: Features 8 sets of 12038 fans with a maximum airflow of 800 CFM and liquid cooling manifold integration.
✅Power Redundancy: Dual 2,200W titanium power supplies (efficiency ≥96%) ensure 99.999% availability.
Chassis Type | GPU Support | Cooling Capacity (kW) | Applicable Scenarios |
---|---|---|---|
4U Chassis | 4 | 6–8 | Edge computing nodes |
6U Chassis | 8–12 | 15–20 | Supercomputing centers, AI training |
10U Chassis | 16+ | 30+ | Large-scale HPC clusters |
The 6U Server Chassis features modular design, enabling quick maintenance and hot-swappable GPUs, and has been deployed in thousand-card AI clusters for various customers.
AI Edge Computing Potential of Intel N100 Plex Server
Although the Intel N100 Plex Server is positioned as a lightweight media server, its low power consumption (TDP 6W) and AI acceleration capabilities (integrated GPU supporting INT8 inference) make it uniquely valuable in edge computing scenarios:
Key Features:
✅Performance: 4 cores, 4 threads, max turbo frequency of 3.4GHz, supports 8K video decoding.
✅AI Inference: Optimized through OpenVINO, capable of running YOLOv5s models (≥15 FPS).
Scenario | N100 Plex Server | Dedicated AI Server |
---|---|---|
Power Consumption | 10W | 500W+ |
Inference Latency | 50–100ms | 5–20ms |
Deployment Cost | ¥2,000–¥5,000 | ¥50,000+ |
Shenzhen Xintongtai Technology Co., Ltd. offers edge AI gateways based on the N100, integrated with 4G/5G modules, ideal for real-time customer flow analysis in smart retail applications.
How to Choose an AI Server Manufacturer?
When selecting an AI Server Manufacturer, consider the following dimensions:
✅Technical Certifications: NVIDIA DGX Ready or MLPerf benchmark rankings.
✅Customization Capabilities: Support for liquid cooling modifications and heterogeneous computing (CPU+GPU+FPGA).
✅Global Services: 24/7 remote support and spare parts inventory coverage ≥95%.
Manufacturer Type | Advantages | Limitations |
---|---|---|
International Brands | Brand premium, global after-sales | Long customization cycles (≥8 weeks), high costs |
Local ODM Vendors | Fast response (2–4 week delivery), 30% lower costs | Requires validation of technical maturity |
Shenzhen Xintongtai Technology Co., Ltd., certified with ISO 9001 and ISO 14001, offers liquid-cooled AI servers with a PUE as low as 1.08, reducing data center energy consumption by 40%.
Conclusion
From Universal Type Servers to dedicated AI Servers, enterprises must select solutions based on computing power needs, power consumption budgets, and operational capabilities. Shenzhen Xintongtai Technology Co., Ltd., with expertise in 6U Server Chassis design, CPU Coolers Wholesale supply chains, and AI Server Manufacturing, provides comprehensive solutions spanning edge to cloud. Whether it’s high-performance nodes with the i9-13900K or lightweight gateways based on the Intel N100 Plex Server, we empower industries to achieve intelligent transformation through technological innovation.