ESP32-S3 DevKitC-1 N16R8 in Pakistan | 16MB Flash, 8MB PSRAM

1700

Key Features

  • Processor: Dual-core Xtensa LX7 @ up to 240MHz
  • Memory: 16MB Flash + 8MB Octal PSRAM (the “N16R8” naming tells you exactly this — 16MB Flash, 8MB PSRAM)
  • On-chip RAM: 512KB SRAM
  • Wireless: Built-in 2.4GHz WiFi (802.11 b/g/n) and Bluetooth 5 (LE)
  • USB: Native USB-C support for both programming and USB OTG device/host applications, so no separate UART driver chip is needed
  • GPIO: Rich set of exposed I/O pins, pin-compatible with the standard ESP32-S3-DevKitC-1 layout for easy expansion with peripherals
  • Software support: Works with Arduino IDE, ESP-IDF, and MicroPython

Description

ESP32-S3 DevKitC-1 N16R8 Development Board in Pakistan

Looking for the ESP32-S3 DevKitC-1 N16R8 in Pakistan? This is a high-spec ESP32-S3 development board built around the ESP32-S3-WROOM-1 module. As a result, it gives you a dual-core processor with generous flash and RAM for memory-heavy projects. Plus, Collegeroad-Online delivers it fast across Rawalpindi, Islamabad, and nationwide.

Key Features

  • Processor: Dual-core Xtensa LX7, running at up to 240MHz
  • Memory: 16MB Flash plus 8MB Octal PSRAM — in fact, the “N16R8” naming tells you exactly this: 16MB Flash, 8MB PSRAM
  • On-chip RAM: 512KB SRAM
  • Wireless: Includes built-in 2.4GHz WiFi (802.11 b/g/n) and Bluetooth 5 (LE)
  • USB: Offers native USB-C support for both programming and USB OTG device/host applications, so you won’t need a separate UART driver chip
  • GPIO: A rich set of exposed I/O pins, pin-compatible with the standard ESP32-S3-DevKitC-1 layout, makes it easy to expand with peripherals
  • Software support: Works smoothly with Arduino IDE, ESP-IDF, and MicroPython

Why the N16R8 Variant Matters

Compared to the standard 8MB flash version, the extra flash on this ESP32-S3 N16R8 board makes a real difference. For instance, it supports OTA (over-the-air) firmware updates that need two full firmware partitions at once, large web interfaces stored in SPIFFS/LittleFS, and applications that embed fonts, images, or ML models directly into firmware. Similarly, the 8MB PSRAM is important for frame-buffer-heavy work like camera streaming and audio buffering. Therefore, if you’re running TensorFlow Lite Micro or similar AI inference models at the edge, this extra memory becomes a real requirement rather than a luxury.

Who This Is For

  • Makers and engineers building AI/ML-at-the-edge projects, such as image classification or wake-word detection
  • Camera and video streaming projects that need extra PSRAM bandwidth
  • IoT and home automation builds that need solid WiFi/BLE, plus room to grow
  • Anyone upgrading from a classic ESP32 or ESP8266 board who has hit memory limits

Setup note: in Arduino IDE, make sure PSRAM mode is set to OPI PSRAM rather than the default QSPI — otherwise, the board won’t correctly detect the full 8MB PSRAM.

Finally, pair it with a camera module for vision projects, or otherwise browse our full development boards category.

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