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| ====== ESP32 (Original / WROOM1) ====== | ====== ESP32 (Original / WROOM1) ====== | ||
| + | **The ESP32 is a low-cost, low-power System-on-Chip (SoC) developed by Espressif Systems. It was first announced in 2016 and | ||
| + | released to the public in 2017.** | ||
| + | |||
| + | **Technical Specifications** | ||
| + | The ESP32 features a dual-core 32-bit LX6 microprocessor running at up to 240 MHz, with a separate coprocessor for | ||
| + | peripheral interfaces. It includes 520 KiB of internal RAM, as well as 448 KiB of flash memory and an additional 16 MiB of | ||
| + | external SPI flash memory. The chip also features [[wifi|Wi-Fi]] (802.11b/ | ||
| + | for BLE's SPP and GATT profiles. | ||
| + | |||
| + | **Origins/ | ||
| + | [[espressif|Espressif Systems]], had previously developed several successful low-cost [[microcontroller|{{ :: | ||
| + | |||
| + | **XTensa Platform** | ||
| + | The ESP32' | ||
| + | Systems]] in partnership with Tensilica (now Cadence Design Systems). The [[xtensa|XTensa LX6]] provides a high level of instruction set compatibility with other [[risc|RISC-V]] processors and offers improved performance and efficiency compared to previous [[esp8266|ESP8266]] products. The [[xtensa|Xtensa architecture]] allows designers to add custom instructions and features, enabling [[espressif|Espressif]] to optimize the core for low-power wireless applications. In the ESP32, the [[xtensa|LX6]] operates at up to 240 MHz while also supporting an ultra-low-power coprocessor for sensor monitoring during sleep. Later variants like the [[esp32s3|ESP32-S3]] moved to an [[xtensa|Xtensa LX7]] core with vector instructions for machine learning acceleration, | ||
| + | |||
| + | **Relationship to Other ESP32 Products** | ||
| + | The ESP32 has spawned several variants designed for specific use cases/ | ||
| + | |||
| + | **Impact on the IoT World** | ||
| + | The ESP32' | ||
| + | |||
| + | **In less than a decade, the ESP32 has grown from a niche Chinese SoC into a ubiquitous building block of the Internet of Things.** | ||
| + | |||
| + | Its ongoing evolution—through variants like the [[esp32s3|ESP32-S3]] with AI acceleration and the [[risc|RISC-V]]-based [[esp32c3|ESP32-C3]]—continues to push the boundaries of what low-cost wireless microcontrollers can achieve. As the [[internet_of_things|IoT]] landscape expands into areas like edge AI and the Matter smart home standard, the ESP32' | ||