| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Silicon Labs |
BOARD EVAL SI2457 + SI3018 24PIN |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2493 + SI3018 24PIN |
0 |
|
|
Silicon Labs |
SI53258 AUTO PCIE CLOCK BUFFER D |
0 |
|
|
Silicon Labs |
BOARD EVAL 2FXS PCM SI32260-C |
0 |
|
|
Silicon Labs |
KIT EVAL SI52111-B6 |
0 |
|
|
Silicon Labs |
SI52258 AUTO CLOCK GEN DEV KIT |
0 |
|
|
Silicon Labs |
BOARD EVAL W/DISCRETE INTERFACE |
0 |
|
|
Silicon Labs |
BOARD EVAL 1FXS PCM SI32177-C |
0 |
|
|
Silicon Labs |
EVALUATION BOARD KIT SI5382A |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2435 REVE ISO MODEM |
0 |
|
|
Silicon Labs |
1FXS ISI EVALUATION KIT FOR SI32 |
0 |
|
|
Silicon Labs |
BOARD EVAL PLATFORM VIPER ADC |
0 |
|
|
Silicon Labs |
BOARD EVAL FOR SI5365/66 |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2457 + SI3018 24PIN |
0 |
|
|
Silicon Labs |
BOARD EVAL 2FXS PCM SI32261-C |
0 |
|
|
Silicon Labs |
BOARD EVAL 2FXS1FXO PCM |
0 |
|
|
Silicon Labs |
BOARD REF DES 32-BIT ETHERNET |
0 |
|
|
Silicon Labs |
BOARD EVAL 2FXS ISI SI32267-C |
0 |
|
|
Silicon Labs |
BOARD EVALUATION SI5397 |
4 |
|
|
Silicon Labs |
EVAL KIT FOR SI3454 POE CTLR |
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)