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Advanced Wi-Fi 7 Modules for AI PC and High-Performance IoT

Advanced Wi-Fi 7 Modules

for AI PC and High-Performance IoT

SparkLAN introduces the WNFQ-290BE and WNSQ-290BE modules, designed to deliver high-performance wireless connectivity ideal for AI PC connectivity and advanced IoT applications. Powered by the Qualcomm QCC2073 chipset and equipped with Wi-Fi 7 (802.11be) technology, these modules provide fast, stable, and low-latency connectivity for data-intensive environments.

 

The WNFQ-290BE comes in an M.2 2230 E Key form factor, offering flexibility for platforms needing easy integration and space-saving design. Meanwhile, the WNSQ-290BE features a solder-down M.2 LGA 1620 form factor, making it well-suited for embedded systems where stability is key. These design options make both modules a great choice for AI-enabled PCs and other high-performance computing setups.

 

Both modules support 2×2 MU-MIMO and Multi-Link Operation (MLO) for efficient data transfer across 2.4GHz, 5GHz, and 6GHz bands. With 160MHz channel bandwidth and 4096-QAM modulation, they are optimized for high-throughput tasks, ensuring reliable communication in complex AI and IoT environments. The addition of Bluetooth 5.4 further enhances their versatility, supporting seamless short-range connectivity within IoT ecosystems.

Product Key Feature

WNFQ-290BE
M.2 2230 Type (E Key) 
WNSQ-290BE
 M.2 LGA Type 1620 
STANDARD
Technology   WiFi 7 802.11be + bluetooth 5.4 Tri-band (2.4GHz, 5GHz, 6GHz) , 2T2R
Chipset   Qualcomm QCC2073
Interface   WLAN: PCIe ; Bluetooth: USB / or UART
Antenna   2 x IPEX MHF4 connector
Feature   4096-QAM, 160MHz bandwidth, 2×2 MU-MIMO, MLO
FormFactor   Modular M.2 2230 E Key / Solder-down M.2 LGA 1620
Support   Linux

Application Industry Scene

The WNFQ-290BE and WNSQ-290BE modules are designed to provide high-speed, reliable wireless connections, making them ideal for wireless control

applications in various intelligent fields, especially AI PC connection applications. Their advanced capabilities ensure seamless integration into AI-driven

computing environments, improving data transfer efficiency and overall system performance.