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
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.