Silicon Labs’ SiWx917 Wi-Fi 6 SoC with Ultra-Low-Power Wi-Fi and AI/ML is a Match Made in the Cloud for AIoT

时间： 2023-10-09 来源：SILICON LABS Blogs

技术问答

Today’s AI-driven reality is seeing artificial intelligence (AI) and machine learning (ML) moving toward the very edge of the network – even the smallest of IoT devices will soon run AI/ML algorithms. This ongoing evolution is also dubbed Artificial Intelligence of Things (AIoT). In this blog, Ravi Subramanian, Product Marketing Director at SILICON LABS, explains AIoT and how the AI/ML-accelerated SiWx917 Wi-Fi SoC simplifies Edge AI for IoT device makers.

The world has been very data- and IoT-driven already for a decade or longer – most industrial processes, various types of appliances, smart homes, and smart buildings are already controlled and monitored through IoT, transmitting data between the Edge and the Cloud. Unlike the early days of M2M, where tiny data packets were sent periodically over narrow-bandwidth radio, today’s Cloud- and Ecosystem-connected IoT devices can transmit big chunks of data and stream video over Wi-Fi. However, today astronomical amounts of data are generated, and decisions need to be made fast, making Cloud computing inefficient for end-users – the latency of processing data in the Cloud is too long, and the cost of moving and storing data centrally is getting too high.

The AIoT Challenge

AIoT is an industry-wide evolution that IoT device makers are now tapping to avoid the two commonly known end-user disadvantages of Cloud computing - latency and cost.

In the early days of IoT, devices like sensors could collect data near the source and perform simple computations locally on the device’s microprocessor to avoid processing all readings in the Cloud. However, back in the day, the lack of sheer computing power and ultra-low-power Wi-Fi connectivity limited the use cases and field operation time for resource-constrained devices.

The AIoT challenge for device makers is building high-performing, always-on cloud-connected Wi-Fi IoT devices with ample computing and AI/ML processing capacities yet operating months or even years on a battery while keeping the design and BoM costs at bay.

Luckily, Moore’s Law is still in effect, helping Silicon Labs’ engineers squeeze ever more capabilities on a single semiconductor die. The SiWx917, which will be the lowest-power Wi-Fi 6 SoC available when it releases later this year, features an integrated AI/ML accelerator, application-dedicated microprocessor core, and heaps of memory in a single package, enabling powerful computing and fast AI/ML processing even on small battery-powered IoT devices.

Integrated Ultra-Low-Power Wi-Fi and AI/ML Acceleration

SiWx917-powered wireless IoT devices can process data, audio, or images and apply advanced AI algorithms and fast ML inferencing to make more sophisticated decisions locally at the Edge. The benefits of ultra-low-power Edge AI computing are related to time and money (as always). Instead of going back to the Cloud for demanding computations, the IoT sensors can now handle them locally, quickly, and without initiating a Wi-Fi connection, transmitting data, and waiting for the response.

Should Cloud computing be needed, the SiWx917 delivers ultra-low-power, always-on Wi-Fi 6 connectivity with a double battery life compared to competing SoCs. It can maintain the Wi-Fi context active on the access point (WLAN-associated mode) even when the sensor is in sleep, enabling a quick connection ramp-up and high-throughput transmission to reduce the latency and energy consumption of Cloud computing.

Thanks to the integrated AI/ML accelerator (Matrix Vector Processor) on the SiWx917 SoC, the end-device, a sensor for example, can process data right on its Wi-Fi radio unit (i.e., SiWx917) without having to wake up and occupy its central microprocessor, reducing the end-device’s power consumption and further extending the battery life and recharging interval.

In conclusion, ultra-low-power Wi-Fi and AI/ML are indeed a perfect match for the AIoT and the SiWx917 offers both for device makers in a single package, spiced up with an advanced sensor hub, best-in-class security, and more.

Wi-Fi and AI/ML – A Match Made in the Cloud

As the world becomes increasingly AI-driven, even the smallest IoT devices will be enabled with AI/ML capability. You, as a device maker, must find a fast, cost-efficient, and reliable solution to accelerate your AIoT development.

Silicon Labs’ SiWx917 Wi-Fi 6 SoC is a complete and optimized Edge computing solution for battery-powered IoT devices. It doubles the Wi-Fi 6 battery life compared to competing SoCs without compromising on wireless performance and AI/ML computing power. For device makers, this reduces the Bill of Material and development costs, simplifies design, and improves reliability for Industrial IoT, building automation, smart home, smart cameras, and other applications.

发送到邮箱 |
+1 赞 0
收藏
评论 1
| 转发至：

本文由翊翊所思转载自SILICON LABS Blogs，原文标题为:Ultra-Low-Power Wi-Fi and AI/ML are a Match Made in the Cloud for AIoT，本站所有转载文章系出于传递更多信息之目的，且明确注明来源，不希望被转载的媒体或个人可与我们联系，我们将立即进行删除处理。

全部评论（1）

zwjiang Lv9. 科学家 2024-03-01

学习

没有更多评论了

【IC】芯科推出Wi-Fi 6 SoC SiWx917，采用7x7mmQFN封装，是超低功耗物联网无线设备的理想选择

SiWx917 SoC是功耗最低的Wi-Fi 6 SoC，是使用Wi-Fi、Bluetooth®、Matter和IP网络实现安全云连接的超低功耗物联网无线设备的理想选择。SiWx917 SoC包括一个超低功耗Wi-Fi 6加低功耗蓝牙（LE）5.4无线CPU子系统，以及一个集成微控制器（MCU）应用子系统、安全、外围设备和电源管理子系统。

产品发布时间 : 2024-02-20

芯科科技推出满足工业物联网应用需求的低功耗Wi-Fi无线连接解决方案

Silicon Labs的低功耗Wi-Fi解决方案，结合了蓝牙协议与安全功能，可以满足IIoT无线连接应用的要求，将是您开发IIoT设备的理想选择。

产品发布时间 : 2023-11-15

【产品】高度集成的双核AIoT边缘计算SOC BL606P，可实现多种无线有线连接和数据传输

博流的BL606P是高度集成的双核AIoT边缘计算SOC，具有Wi-Fi/BT/BLE/Zigbee/Ethernet/USB2.0六模合一的多模智能网关功能，内置一颗RISC-V32位高性能CPU，可实现多种无线有线连接和数据传输。

产品发布时间 : 2022-09-02

Silicon Labs（芯科科技）产品选型指南

目录- 8-bit Microcontrollers 32-bit Microcontrollers High-performance analog products wireless ICs, SoCs and modules Sensors Interface chip Timing products Isolation products Audio products Video products Voice products Data products Development Tools

型号- C8051T604-GS,SI8420AD-A-IS,WF111,SI7007-A20-IM1,SI8035AA-B-IU,C8051T604-GM,C8051F813-GU,SI8642ET-IS,C8051F541-AM,SL16020DC,C8051F813-GM,C8051F587-AM,C8051F044,SI2434,SI4613,C8051F043,SI4614,C8051F046,C8051F045,C8051F587-AQ,SI2435,C8051F047,C8051F541-AQ,TS3001,TS3002,SI2439,TS3003,SI8712CC-B-IP,TS3004,C8051F060,C8051F531-C-IM,TS3006,C8051F062,SI8710AD-B-IS,C8051F061,SI8712CC-B-IS,C8051F064,C8051F063,EFM32LG230FX - QFN64,EZR32WG230F64R69G,EFM32WG880FX - QFP100,EFM32WG980FX - QFP100,SI8233BB-C-IS1,C8051F531-C-IT,SI51210,SI8635BD-B-IS,C8051F975-A-GM,SI8230BB-B-IS1,SI8232BB-B-IS,C8051F394-A-GM,SI4624,C8051T616-GM,SI4622,SI8635BT-IS,C8051F573-IM,SI4629,C8051F530-C-AM,SI8920BD-IS,C8051F530-C-AT,C8051F801-GM,C8051F711-GQ,C8051F585-IM,SI21802,C8051F585-IQ,EFM32LG390FX - BGA112,SI8605AC-B-IS1,C8051F370-A-GM,EFM8BB10F2G-A-QFN20,C8051F066,C8051F065,C8051F067,SI2457,SI3452B-B02-GM,SI88243ED-IS,C8051F801-GU,C8051F506-AQ,SI7005-B-GM1,SI2167-C,SI21682-C,SI7022-A20-IM,SI8642AB-B-IS,SI8650ED-B-IS,SI2167-B,SI8719BC-A-IP,TSM9118,SI8631AB-B-IS,TSM9117,SI8234AB-C-IS,TSM9119,SI8234AB-C-IM,EFM32WG390FX - BGA112,SI8620AB-B-IS,SI8719BC-A-IS,SI8631EC-B-IS1,C8051F565-AM,EZR32WG330F64R55G,SI8235AB-C-IS1,C8051F835-GS,SI1132,SI3500-A-GM,TS1102-100,C8051F506-AM,C8051F565-AQ,SL2309NZ,SI8065AA-B-IU,EZR32LG230F64R60G,C8051F551-AM,EZR32LG230F128R60G,EFM32LG980FX - QFP100,SI8640AB-B-IS1,SI8600AD-B-IS,SI8710BC-B-IP,SI8710BC-B-IS,C8051F007,EFM32LG290FX - BGA112,SI8712BD-B-IM,EFM32GG295FX - BGA120,C8051F38C-GQ,SI8244BB-C-IS1,C8051F000,C8051F002,C8051F38C-GM,C8051F001,SI8620EC-B-IS,TS1005,TS1004,C8051F006,TS1003,C8051F005,TS1002,TS1001,C8051F963-B-GM,C8051F504-AQ,EFM8SB10F4G-A-QFN20,C8051F823-GS,EZR32LG230F128R61G,C8051F020,EFM32TG822FX - QFP48,SI8650BC-B-IS1,C8051F388-GQ,EFM32G200FX - QFN32,C8051F537-C-AM,C8051F563-IM,C8051F019,EZR32WG330F256R55G,C8051F018,C8051F563-IQ,C8051F011,SI2401,SI4822,C8051F010,EFM32TG222FX - QFP48,EFM32TG210FX - QFN32,SI4820,C8051F012,C8051F015,SI4826,SI2404,SI4827,C8051F017,SI4824,C8051F016,C8051F504-AM,SI4825,EFM32WG232FX - QFP64,C8051T602-GS,C8051T327-GM,C8051T602-GM,BGM111,EZR32WG330F128R68G,C8051F863-C-GS,SI88244ED-IS,C8051F811-GS,C8051F589-AM,SI8421BD-B-IS,C8051F537-C-AT,EFM32GG395FX - BGA120,C8051F531-C-AT,C8051F854-C-GM,C8051F022,C8051F021,SI4831,C8051F023,SI2415,C8051F854-C-GU,SI4835,SI2417,SI4836,EFM32WG290FX - BGA112,SI2169-C,TS1101-100,SI8455BA-B-IU,C8051F040,C8051F042,C8051F041,EZR32WG330F128R69G,SI8232AB-B-IS1,C8051F344-GQ,SI8662EC-B-IS1,SI4840,SI8452AA-B-IS1,C8051F701-GQ,SI4844,C8051F502-IM,C8051F575-IM,SI88622ED-IS,C8051F502-IQ,CP2201,CP2200,EFM32LG942FX - QFP64,SI8641BB-B-IS,EFM32GG942FX - QFP64,SI8655BB-B-IS1,SI8400AB-B-IS,SI8030AA-B-IU,C8051F587-IM,C8051F206,C8051F587-IQ,EFM32TG840FX - QFN64,SI8460AA-B-IS1,C8051F500-IQ,EZR32WG230F64R61G,C8051F546-IM,C8051F500-IM,EZR32WG330F128R67G,SI8660AB-B-IS1,C8051F827-GS,C8051F988-GU,SI52142,SI52143,SI7050,SI52144,SI7055,SI7054,SI7053,C8051F567-AQ,C8051F590-AM,C8051F567-AM,C8051F988-GM,SI8450BA-B-IS1,SI7023-A20-IM1,SL28EB742,SI8231BD-B-IS,C8051F855-C-GU,EZR32WG230F128R63G,EZR32LG230F64R68G,SI8631BC-B-IS1,C8051F300-GM,SI52111,SI52112,SI8920AD-IS,C8051F855-C-GM,SL28EB740,EFM8SB20F16G-A-QFN24,SI8641BB-B-IS1,C8051F300-GS,EFM8UB10F16G-C-QFN28,C8051F920-GQ,C8051F815-GS,C8051F920-GM,C8051F220,EFM8UB10F16G-C-QFN20,TSM9938F,EZR32LG230F64R67G,C8051F221,C8051T320-GQ,SI8651EC-B-IS1,C8051F226,C8051F862-C-GS,TSM9938H,SI8661BB-B-IS1,EZR32WG230F64R63G,SI8661ED-B-IS,SI8220DD-A-IS,EZR32LG230F64R69G,SI8405AB-A-IS1,C8051F565-IM,EFM8SB10F2G-A-QFN20,C8051F395-A-GM,C8051F565-IQ,SI8641BD-B-IS,EFM32TG232FX - QFP64,C8051F231,SI8661BC-B-IS1,C8051F230,C8051T631-GM,SL2305NZ,SI8441AA-D-IS1,SI8630BD-B-IS,C8051T600-GS,C8051F236,SI8442BA-D-IS1,C8051F580-AQ,C8051T600-GM,C8051F803-GS,C8051F580-AM,TS1103-100,EZR32WG230F128R61G,C8051F996-GM,SI21822,SI8645BT-IS,C8051F302-GM,C8051F996-GU,SI8232AB-B-IS,SI8622BC-B-IS,C8051F302-GS,TS7003,C8051F708-GQ,TS7001,EFM32WG890FX - BGA112,EZR32LG230F64R61G,EZR32WG330F128R63G,SI21662-B,SI8600AC-B-IS,SI21662-C,EZR32WG230F128R60G,EFM32G222FX - QFP48,TSM9938T,C8051F523-C-IM,SI21812,EFM32GG990FX - BGA112,EFM32LG360FX - CSP81,SL23EP09NZ,SI8651BD-B-IS,TSM9938W,C8051F510-IM,C8051F556-IM,SI8422AD-B-IS,SI8232AD-B-IS,C8051F411,C8051F410,C8051F413,SI8405AA-A-IS1,C8051F412,C8051F381-GM,SI8040AA-B-IU,C8051F589-IM,C8051F965-B-GM,SI8461BA-B-IS1,SI8655BA-B-IS,SI8660BA-B-IS1,C8051F381-GQ,C8051T621-GM,C8051F346-GM,EZR32WG230F64R68G,EFM8BB10F8G-A-QSOP24,SI51214,C8051F346-GQ,SI51211,SI51218,SI8655BA-B-IU,SI8662BD-B-IS,SI8630BB-B-IS,EFM8UB20F32G-A-QFP32,SI51219,EZR32LG230F64R63G,EZR32WG330F128R60G,C8051F930-GM,SI8630BB-B-IS1,SI8660BB-B-IS1,C8051F502-AM,C8051F825-GS,EFM8UB11F16G-C-QSOP24,C8051F544-IM,EZR32WG330F128R61G,C8051F34A-GQ,EFM32GG332FX - QFP64,SI7006-A20-IM,C8051F502-AQ,SI2165-D,C8051F544-IQ,C8051F986-GU,C8051F34A-GM,SI21832,WF121,EZR32WG230F64R67G,SI8620BT-IS,C8051F569-AM,SI8642BC-B-IS1,C8051F930-GQ,C8051F986-GM,EFM8UB20F32G-A-QFP48,EZR32LG330F64R55G,EFM32LG380FX - QFP100,SI8630

选型指南 - SILICON LABS - 2019/1/14 PDF 英文下载

Silicon Labs（芯科科技）物联网无线产品选型指南

目录- Company and product overview Bluetooth Modules proprietary wireless devices Wi-Fi Modules Mighty Gecko Modules Z-Wave Modules

型号- EBWT41U,ZDB5202,SLEXP8027A,EFR32FG13P233F512GM48,EFR32™,SLWSTK6061B,MGM12P,EZR32WG,EFR32FG13P231F512GM32,EFR32BG12P232F1024GM68,EFR32MG13P733F512GM48,EFR32BG13P532F512GM32,WT12,AMW007-E04,EFR32,WT32I,EZR32™,BGM121,BGM11S,WT11U,EFR32FG,EFR32FG14P233F256GM48,SLWSTK6062B,RBK-ZW500DEV-CON2,SLWSTK6120A,SLWSTK6063B,RBK-ZW500,EFR32BG12P132F1024GL125,SI4XXX,ZM5101,ZM5304,ZDB5101,ACC-UZB3-U-BRG,BGM111,EBWT11U,EFR32FG14P233F128GM48,ACC-UZB3-U-STA,MGM111,ZDB5304,SLWSTK6000B,SLWSTK6020B,WT32,SI10XX,SLWSTK6101C,EFR32MG13P632F512GM32,AMW037,EFR32FG12P433F1024GM48,DKWT32I-A,EFR32MG12P132F1024GL125,EFR32MG1P133F256GM48,BGM13S,EZR32HG,BGM13P,BGX13P,EZR32LG,MGM13P,WT41U,EFR32BG13P733F512GM48,BGX13S,SLWSTK6060B,MGM13S,SLWSTK6065B,WGM110,RBK-ZW500DEV-EMB2,EFR32BG12P433F1024GL125,EBWT12-A,ZM5202,AMW007,SLTB004A,EFR32MG14P733F256GM48

选型指南 - SILICON LABS - REV A - SEPTEMBER 2018 PDF 英文下载

AN1428: SiWx917 Debug Lock

型号- SIWX917

应用笔记或设计指南 - SILICON LABS - Rev. 0.2 - May 2024 PDF 英文下载

Matter1.0发布，盘点已量产的Matter协议芯片及技术经验合集！

2022年10月，国际组织连接标准联盟（CSA）发布了面向智能家居互联互通的技术标准规范Matter 1.0版本，解决不同物联网协议之间无法互通的行业核心痛点。芯科科技和博流已发布最新的Matter相关产品推进物联网互通步伐。

行业资讯发布时间 : 2022-12-14

Silicon Labs WIFI 对照表

型号- DA16600MOD,ATBM6441,SIWX917,DA16200

对照表 - SILICON LABS - 2023/12/7 PDF 中文下载

蓝牙技术讲座回放：抢先学习信道探测

蓝牙专题Tech Talks技术讲座的中英文随选回放上线，聚焦创新的蓝牙信道探测技术，支持测距和定位应用。芯科科技提供解决方案，助力开发安全、差异化的定位感知产品。8月Wi-Fi技术讲座介绍SiWx917 Wi-Fi 6 + 低功耗蓝牙双频SoC特性及基于电池的Wi-Fi摄像头开发方法。

厂牌及品类发布时间 : 2024-09-03

Silicon Labs（芯科科技） Wi-Fi 芯片和模块选型指南

目录- Wi-Fi SoC and Module Selector Guide Wi-Fi Lineup Wi-Fi Development Kits IoT Wi-Fi Technology Leader Wi-Fi Applications Company Profile

型号- SLEXP8022A,SIWX915,RS9116,WF200,SIWX917,RS9116X-DB-EVK1,RS9116X-SB-EVK1,RS9116X-SB-EVK2

选型指南 - SILICON LABS - 2023/10/3 PDF 英文下载

芯科科技为Matter设备选择最合适的开发套件，助力加速并简化工作

如果您正在为智能家居和其他生态系统连接的物联网设备开发软件和硬件，Matter协议可能是当今最令人兴奋的技术之一。对于开发人员希望使用高效的开发套件和工具来快速完成工作的需求，在这篇博客中，Silicon Labs将引导您为Matter项目评估并选用最佳的开发套件。

厂牌及品类发布时间 : 2024-04-20

IoT Bluetooth Wi-Fi

型号- FSC-BT6038A,FSC-BT986,FSC-BW236,FSC-BW126,FSC-BT1038A,FSC-WF210,FSC-BW246,FSC-BT618V,FSC-BT1026C,FSC-BT1026E,FSC-BT691,FSC-BW121,FSC-BT805B,FSC-BW101,FSC-BT631S,FSC-BT909C,FSC-BT836B,FSC-BW256B,FSC-BT671D,FSC-BT901

选型指南 - FEASYCOM - 2024/8/12 PDF 英文下载

【产品】Silicon Labs低功耗Wi-Fi+蓝牙SoC激活物联网新应用

Silicon Labs的RS9116 QMS Wi-Fi SoC提供全面的多协议无线连接解决方案，包括支持802.11 b/g/n (2.4GHz) 和双模蓝牙5无线协议。该SoC除了集成低功耗Wi-Fi + 蓝牙功能以外，还具有功率优化性能，可提供高数据吞吐量和扩展的范围。

新产品发布时间 : 2021-12-03

芯科科技超低功耗Wi-Fi结合图像信号处理的参考设计即将亮相2024年深圳物联网展

芯科科技将在8月28至30日举办的“2024年深圳物联网展（IOTE Shenzhen）”上展出业界高性能的超低功耗Wi-Fi + 蓝牙SoC结合图像信号处理器的创新参考设计，展示如何流畅回放H.264实时影像，同时满足系统对功率和尺寸的要求。这一参考设计基于芯科科技的SiWx917 Wi-Fi 6 + 低功耗蓝牙5.4双频SoC，为电池供电的物联网设备提供了理想的小型化超低功耗解决方案。

厂牌及品类发布时间 : 2024-08-24

博流智能：全无线智能AIoT&边缘计算核心芯片供应商

型号- BL606系列,TLSR8258,BL616U,BL818,BL616,BL702L,BL608系列,ESP32-C3,EFR32MG21,BL702,BL701,BL602,BL828,BL608,BL808,BL704,BL608P,BL604,BL606P,BL706,BL628,BL606,BL616C,BL618G,BL602C,RTL8720CF

商品及供应商介绍 - 博流 - 2022年3月 PDF 中文下载