Silicon Labs xG26 Sets New Standard in Multiprotocol Wireless Device Performance

To enable greater intelligence for not only Matter-enabled applications, but all applications, the MG26, BG26, and PG26 also use Silicon Labs’ proprietary Matrix Vector AI/ML hardware accelerator. This dedicated core is optimized for machine learning and can process ML operations up to 8x faster using as little as 1/6th the energy as a traditional embedded CPU.

This significantly improves the family’s energy efficiency because the device can offload ML-based activation or wake cues to the accelerator, allowing more power-hungry functions to sleep and minimize battery drain. This is ideal for smart home battery-operated devices like sensors or switches, where consumers look for them to fade into the background of their home and not draw their attention with the need for constant battery changes.

Silicon Labs Extends IoT Leadership with New SoC and MCU Family
Silicon Labs is one of the world’s leading pure-play IoT companies, and no other can match its breadth, depth, and expertise in the Internet of Things. That’s why the xG26 launches as a family.

While the MG26 is ideal for Matter, the BG26 Bluetooth SoC brings all the same features and is optimized for Bluetooth LE and Bluetooth Mesh, and the PG26 brings low-power intelligence to unconnected applications like CCTV cameras, remotes, and children’s toys. Pin compatibility between select xG26 and xG24 devices and shared hardware and software development tools like Silicon Labs Simplicity Studios allows for easy development and seamless migration from other Silicon Labs Series 2 devices.