| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Silicon Labs |
SI5332 12-OUT AUTO CLOCK GEN DEV |
0 |
|
|
Silicon Labs |
BOARD EVAL 1FXS PCM SI32176-C |
0 |
|
|
Silicon Labs |
EVALUATION BOARD KIT SI5386A |
0 |
|
|
Silicon Labs |
BOARD EVAL PCM SI32179B SI32919A |
0 |
|
|
Silicon Labs |
12-OUTPUT SI5332 CUSTOMER EVAL K |
7 |
|
|
Silicon Labs |
KIT EVAL SI871X 8-LGA |
0 |
|
|
Silicon Labs |
BOARD EVALUATION SI5394 |
2 |
|
|
Silicon Labs |
EVALUATION KIT QULSAR 90-00-800 |
0 |
|
|
Silicon Labs |
BOARD EAVALUATIOTN SI53208 |
0 |
|
|
Silicon Labs |
MFI DIGITAL AUDIO EVAL KIT |
0 |
|
|
Silicon Labs |
BOARD EVAL 2FXS PCM SI32260-C |
0 |
|
|
Silicon Labs |
60W USB-C CHARGE REF DESIGN BRD |
2 |
|
|
Silicon Labs |
BOARD EVAL SGL FXS SI32177-C |
0 |
|
|
Silicon Labs |
2FXS PCM EVALUATION KIT FOR SI32 |
0 |
|
|
Silicon Labs |
BOARD EVAL FOR SI5322/23 |
0 |
|
|
Silicon Labs |
SI5332 8-OUT AUTO CLOCK GEN DEV |
0 |
|
|
Silicon Labs |
1FXS ISI EVALUATION KIT FOR SI32 |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2457 + SI3018 16PIN |
0 |
|
|
Silicon Labs |
BOARD EVAL 2FXS1FXO PCM |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2493 + SI3018 16PIN |
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)