Artificial Intelligence Hardware

Artificial intelligence hardware PCB solutions support high-compute, low-latency operation requirements for AI edge and core computing devices, covering high-speed multi-layer boards, HDI, rigid-flex boards, high-heat dissipation boards and other types, with full-chain design, manufacturing, and testing services to reduce R&D cycles and improve product stability.

Overview

Artificial intelligence hardware, ranging from edge computing modules to core high-performance computing platforms, has extremely high requirements for PCB performance, including high-throughput data transmission, low-latency signal processing, high heat dissipation capacity, and high-density routing space. Modern AI workloads often demand tens of TOPS of peak computing power and hundreds of Gbps of high-speed I/O throughput, which traditional PCB designs cannot support, leading to common problems such as signal attenuation, crosstalk, impedance mismatch, and overheating that directly reduce AI computing efficiency and product stability. Our artificial intelligence hardware PCB solutions cover the full process from design, manufacturing to testing, addressing core pain points of AI hardware development, and adapting to the performance requirements of various heterogeneous accelerated computing architectures.

Technical Capabilities

• High-Compute & High-Speed I/O Support: Supports hardware with up to 32 TOPS peak computing power and 750 Gbps high-speed I/O performance, compatible with heterogeneous accelerated computing architectures, CPU/GPU/FPGA core configurations, and high-bandwidth memory interfaces, meeting the data transmission and processing demands of complex AI workloads including intelligent visual recognition and autonomous machine decision-making.
• Multi-Type Board Manufacturing Capability: Covers production of high-speed multi-layer boards, HDI boards, rigid-flex boards (including buried via rigid-flex boards, gold finger reinforced rigid-flex boards), high heat dissipation boards, buried component boards, high-frequency mixed pressure step boards, and high-layer high-speed backplanes, adapting to different AI hardware form factor and functional requirements.
• Precision Signal Integrity Optimization: Implements ±10% impedance control accuracy for 90Ω/100Ω differential signals, supports stack designs with up to 4 independent ground planes, effectively reducing crosstalk, signal attenuation, and reflection loss, ensuring stable data transmission between computing cores, peripherals, and storage modules.
• Full-Chain R&D Support: Provides end-to-end services from schematic optimization, BOM adjustment, stack planning, placement and routing, to functional testing, supporting SoC chip solutions with up to 10-core CPUs and 16 TOPS computing power, paired with AI compilation tools and SDK suites to accelerate AI product verification and mass production.
• High-Density Process Support: Supports micro-via sizes as small as 0.06mm, line width/line spacing as low as 2.0/2.0mil, meeting the routing requirements of high-density AI hardware modules and compact edge computing devices.

Quality Standards

• Environmental Reliability Testing: All AI hardware PCBs undergo strict high/low temperature cycle testing, humidity resistance testing, and vibration impact testing, ensuring stable operation in industrial-grade temperature ranges from -40℃ to +85℃, adapting to harsh deployment scenarios in industrial, agricultural, and outdoor smart city environments.
• Performance Verification: All finished boards go through signal integrity testing, EMC testing, and thermal performance testing, verifying compliance with high-bandwidth transmission and long-term stable operation requirements for high-compute AI workloads.
• Compliance Certification Alignment: Design and manufacturing processes align with international industry quality management system standards, and products meet access requirements for industrial, medical, automotive, and consumer electronics sectors.
• Process Consistency Control: Adopts standardized production routes and full-process data traceability mechanisms, ensuring consistent performance of products from prototype verification to mass production stages, reducing batch difference risks.

Applications

AI hardware PCB solutions are widely applicable across all AI-driven industry scenarios, including but not limited to:

• Industrial & Manufacturing: Industrial robot main control boards, robotic arm control units, ATE test boards, automatic inspection equipment motherboards, and industrial edge computing nodes.
• Smart Agriculture & Logistics: Intelligent mowing robot control boards, agricultural environmental monitoring terminals, autonomous logistics transport vehicle core boards, and warehouse intelligent sorting equipment controllers.
• Smart Cities & Retail: City-level dynamic face recognition system motherboards, intelligent freezer control modules, public security edge monitoring terminals, smart audio control boards, and retail interactive terminal main boards.
• Healthcare & Energy: AI-assisted diagnostic equipment core boards, power transmission control boards, thyristor control units, and power grid intelligent monitoring terminals.
• General AI R&D: AI chip evaluation boards, GPU/FPGA high-performance computing cards, AI core modules, optical module carrier boards, and 5G AI terminal antenna boards.

Key Advantages

• Full-Coverage Product Matrix: Supports all PCB types required for AI hardware, from low-volume prototype verification to medium-volume trial production and large-scale mass production, eliminating the need for multi-supplier coordination and reducing R&D and production cycle times by 30% on average.
• AI Scenario Customization: Optimizes design and manufacturing processes based on specific AI workload characteristics, such as adding thermal conductive layers for high-compute core boards, increasing shielding layers for high-speed signal transmission scenarios, and selecting low-loss dielectric materials for high-frequency application requirements.
• Cost & Efficiency Balance: Provides BOM optimization and device selection suggestions during the design phase, reducing unnecessary material costs by up to 20% while ensuring performance, and mature process routes ensure over 98% manufacturing yield and low after-sales failure rates.
• Adaptable R&D Support: Matches different stages of AI product development, providing 3-7 day fast prototype delivery for early verification, flexible small-batch production for pilot testing, and stable mass production capacity of 100,000+ units per month for large-scale deployment.

Contact Information

If you have custom requirements for artificial intelligence hardware PCB design, manufacturing, or testing, please reach out to our technical support team. We will provide you with free pre-sales technical evaluation, targeted solution design, and full-cycle after-sales consulting services to support the smooth R&D and mass production of your AI hardware products.