| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Silicon Labs |
4CH ISOL DGTL OUT SOURCE PARALLE |
23 |
|
|
Silicon Labs |
IEEE 1588 PROTO BOARD |
0 |
|
|
Silicon Labs |
2FXS ISI EVALUATION KIT FOR SI32 |
0 |
|
|
Silicon Labs |
BOARD EVAL 1FXS ISI |
0 |
|
|
Silicon Labs |
BOARD EVAL SI32171-C SGL FXS |
0 |
|
|
Silicon Labs |
BOARD EVAL FOR SI5316 |
0 |
|
|
Silicon Labs |
BOARD EVAL ISOMODEM 16PIN |
0 |
|
|
Silicon Labs |
SI823H2X GATE DRIVER BOARD |
3 |
|
|
Silicon Labs |
2FXS PCM EVALUATION KIT FOR SI32 |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2415 + SI3018 16PIN |
0 |
|
|
Silicon Labs |
SI5348 EVALUATION BOARD FOR SYNC |
0 |
|
|
Silicon Labs |
BOARD EVAL 1FXS PCM SI32174-C |
0 |
|
|
Silicon Labs |
2FXS ISI EVALUATION KIT FOR SI32 |
0 |
|
|
Silicon Labs |
EVAL BOARD SI3050/3019 GLOBAL |
0 |
|
|
Silicon Labs |
BOARD EVAL 2FXS ISI ISO SI32268C |
0 |
|
|
Silicon Labs |
BOARD EVAL SI5315 8KHZ-644.53MHZ |
0 |
|
|
Silicon Labs |
BOARD EVAL 2FXS ISI ISO SI32268C |
0 |
|
|
Silicon Labs |
SI823H2 DEVELOPMENT KIT |
83 |
|
|
Silicon Labs |
BOARD EVAL 1FXS PCM SI32176-C |
0 |
|
|
Silicon Labs |
SI3050/SI3019 GLOBAL VOICE DAAEV |
0 |
|
Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.
| Type | Functional Features | Application Examples |
|---|---|---|
| Microcontroller Development Boards | Embedded CPUs, GPIOs, integrated peripherals | IoT devices, robotics |
| FPGA Evaluation Boards | Reconfigurable logic, high-speed interfaces | Communication systems, AI accelerators |
| Sensor Expansion Kits | Multi-sensor integration (temperature, motion, etc.) | Smart agriculture, environmental monitoring |
| Wireless Communication Modules | Bluetooth/Wi-Fi/LoRa protocols, antenna interfaces | Connected healthcare, smart cities |
Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.
| Parameter | Description |
|---|---|
| Processor Performance (MHz/GHz) | Determines computational capability |
| Memory Capacity (RAM/Flash) | Affects program complexity and data storage |
| Interface Types | Dictates peripheral compatibility |
| Power Consumption (mW/MHz) | Critical for battery-operated devices |
| Operating Temperature (-40 C to +85 C) | Defines environmental durability |
- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes
| Manufacturer | Representative Products |
|---|---|
| STMicroelectronics | STM32 Nucleo Series, SensorTile Kit |
| Intel | Intel Edison, Movidius Neural Compute Stick |
| Xilinx | Zynq UltraScale+ MPSoC Evaluation Kit |
| Arduino | Arduino MKR Series, Nano 33 IoT |
Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support
- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)