Solid State Supplies announces availability of Silicon Labs low powered BG24 and MG24 SoC

Matter-ready, the low-power BG24 and MG24 series support multiple wireless protocols and incorporate PSA Level 3 Secure Vault protection, ideal for diverse smart home, medical and industrial applications. 

This new co-optimized hardware and software platform consists of: 

• Two new families of 2.4GHz wireless SoCs, which feature the industry's first integrated AI/ML accelerators, support for Matter, Zigbee, OpenThread, Bluetooth Low Energy, Bluetooth mesh, proprietary and multi-protocol operation, the highest level of industry security certification, low power capabilities and the largest memory and flash capacity in the Silicon Labs portfolio. 
• A new software toolkit designed to allow developers to quickly build and deploy AI and machine learning algorithms using some of the most popular tool suites like TensorFlow. 

“The BG24 and MG24 families from Silicon Labs are the first ultra-low powered devices with built-in dedicated AI/ML accelerators – specialised hardware designed to handle the complex calculations inherent in AI/ML implementations.” said Matt Cook, Product Group Manager at Solid State Supplies. “These devices represent a huge step forward in the quest to bring the potential of AI and ML to life in real world applications. Their impressive battery life will help to bring AI/ML applications and wireless high performance to battery-powered edge devices.” 

"Distributors like Solid State are key to helping our end-users create solutions for the IoT", said Joel Munday, Distribution Director for EMEA and Americas at Silicon Labs. “We have a long history of successful partnership with Solid State and we are pleased to see our latest SoCs debut in their catalogue.”  

The single-die BG24 and MG24 SoCs combine a 78 MHz ARM Cortex-M33 processor, high-performance 2.4GHz radio, industry-leading 20-bit ADC, an optimised combination of Flash (up to 1536kB) and RAM (up to 256kB), and an AI/ML hardware accelerator for processing machine learning algorithms while offloading the ARM Cortex-M33, so applications have more cycles to do other work. Supporting a broad range of 2.4GHz wireless IoT protocols, these SoCs incorporate the highest security with the best RF performance/energy-efficiency ratio in the market. System-on-Module versions (SoMs) will also be available to support lower volume applications. 

Offering the largest Flash and random access memory (RAM) capacities in the Silicon Labs portfolio, the BG24 and MG24 devices can evolve for multi-protocol support, Matter, and trained ML algorithms for large datasets. PSA Level 3-Certified Secure VaultTM, the highest level of security certification for IoT devices, provides the security needed in products like door locks, medical equipment, and other sensitive deployments at risk from external threats.    

System-on-Chip devices (SoCs) and development kits are available now, with System-on-Module versions (SoMs) due for release later in 2022.  

In addition to natively supporting TensorFlow, Silicon Labs has partnered with some of the leading AI and ML tools providers, like SensiML and Edge Impulse, to ensure that developers have an end-to-end toolchain that simplifies the development of machine learning models optimised for embedded deployments of wireless applications. Using this new AI/ML toolchain with Silicon Labs's Simplicity Studio and the BG24 and MG24 families of SoCs, developers can create applications that draw information from various connected devices, all communicating with each other using Matter to then make intelligent machine learning-driven decisions.