AI Computing Hardware
Build a purchase-ready requirement, understand market pricing, and compare qualified Chinese manufacturers in one sourcing brief.
Find Suppliers
Requirement analysis
Product Analysis
Key Points of the Requirement
Define the compute budget in TOPS/TOPS-INT8 and whether sustained or burst performance matters, the form factor (edge AI box, system-on-module, industrial GPU computer, or server card), and TDP with your cooling conditions. Specify camera and fieldbus interfaces (GigE, USB3, CAN, RS485, Ethernet), software stack requirements (CUDA, TensorRT, ROS2, or domestic NPU SDKs), operating temperature and vibration tolerance, and a supply-continuity expectation for multi-year programs.
Cost Structure Analysis
The GPU or NPU processor dominates the bill of materials (commonly 60–80%), followed by memory, storage, power design, and thermal structure. Chip street prices fluctuate with supply, so quotations usually carry short validity. Assembly, burn-in testing, and industrial-grade component screening add cost relative to consumer hardware, and customization of enclosures or firmware is quoted per project.
Estimated Cost Range
Indicative factory pricing: compact NPU edge boxes (8–32 TOPS class) $200–$1,000; higher-end edge AI computers (100–275 TOPS class, Jetson Orin or domestic equivalents) $300–$2,500; industrial GPU edge computers with discrete cards $1,500–$5,000. Quantities of 100–500 units typically negotiate 10–20% discounts. Final quotations depend on the compute module, memory configuration, and industrial certification scope.
Procurement Considerations
Prioritize integrators buying compute modules through authorized distribution (with serialized authenticity), who publish sustained-performance thermal test data rather than peak ratings. Confirm SDK completeness and driver support for your framework, firmware update policy, and long-term supply commitment for multi-year products. Request burn-in test reports and sample units for your own workload validation, and clarify warranty terms, RMA process, certification needs for your market (CE/FCC), packaging, Incoterms, and delivery destination.
Supplier shortlist
Top 3 matched suppliers
A comparison-ready shortlist balancing quality systems, product capability, capacity, and commercial flexibility.
#1 recommended
Inspur Electronic Information Industry Co., Ltd.
A leading global provider of data center infrastructure, cloud computing, and AI solutions. Inspur specializes in the development and manufacturing of AI servers, storage systems, and high-performance computing platforms, holding a significant market share in the global AI server market.
#2 recommended
Dawning Information Industry Co., Ltd.
Also known as Dawning Information Industry, Sugon is a major player in high-performance computing (HPC) and AI server manufacturing in China. They provide advanced liquid-cooled servers and integrated AI computing power platforms for research and industrial applications.
#3 recommended
Cambricon Technologies Corporation Limited
A pioneer in the field of AI processors, Cambricon designs and develops high-performance AI chips and hardware modules. Their product line includes accelerator cards for cloud servers, edge computing modules, and terminal AI IP licensing.
Put in a Requirement to Find Better Matches
Add only the product details that matter to you to receive a more relevant supplier shortlist.