HomeElectronics NewsWireless Chip Targets AI Applications

Wireless Chip Targets AI Applications

AI chips are now available with Wi-Fi, Bluetooth, and Thread support for smart home, factory, and connected devices.

ESP32-S31 Now in Mass Production and Available for Purchase
ESP32-S31 Now in Mass Production and Available for Purchase

Espressif Systems has started mass production of its ESP32-S31 system-on-chip (SoC), which is now available for purchase. The chip is designed for AIoT applications such as smart home hubs, smart speakers, edge AI devices, and industrial automation systems.

The ESP32-S31 features a dual-core 32-bit RISC-V processor running at up to 320MHz. One of the cores includes a 128-bit data path and SIMD instructions to speed up data processing. The chip also includes a 40MHz low-power coprocessor, 512KB of on-chip SRAM, support for up to 250MHz DDR PSRAM, and as many as 60 GPIOs.

For connectivity, the SoC combines Wi-Fi 6 (2.4GHz), Bluetooth 5.4 with LE Audio and Classic BR/EDR, IEEE 802.15.4 for Zigbee and Thread, and a Gigabit Ethernet MAC. It also supports Matter over both Wi-Fi and Thread for smart home devices.

The chip supports camera and display interfaces for human-machine interaction, including DVP cameras, multiple LCD display types, and up to 14 capacitive touch channels. It also integrates hardware accelerators for JPEG encoding/decoding and 2D graphics, while dual I2S controllers enable hardware-level Bluetooth audio synchronization.

ESP32-S31 is supported by Espressif’s ESP-IDF development framework and works with software platforms such as ESP-Matter, ESP-GMF, ESP-BLE-MESH, and ESP-BLE-AUDIO. It can also be used as a connectivity coprocessor through ESP-Hosted and ESP-AT.

The ESP32-S31 is now available for developers and product designers through Espressif’s sales and distribution channels, along with documentation, software resources, example projects, and development tools.

Click here for the original announcement.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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