| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
EPC |
BOARD DEV EPC2218 100V EGAN FET |
23 |
|
 |
EPC |
BOARD DEV FOR EPC2012C 200V EGAN |
7 |
|
 |
EPC |
LIDAR DEMO BOARD 100V EPC2001C |
142 |
|
 |
EPC |
BOARD DEV FOR EPC2014C |
40 |
|
 |
EPC |
BOARD DEV EPC2059 170V EGAN FET |
29 |
|
 |
EPC |
BOARD DEV FOR EPC2206 80V EGAN |
34 |
|
 |
EPC |
CLASS 2 WIRELESS POWER DEMONSTRA |
8 |
|
 |
EPC |
EVAL BOARD CLASS D WIRELESS DEMO |
8 |
|
 |
EPC |
BOARD DEV EPC2036 100V EGAN FET |
19 |
|
 |
EPC |
BOARD DEV FOR EPC2020 60V EGAN |
45 |
|
 |
EPC |
BOARD DEV EPC2215 200V EGAN FET |
13 |
|
|
EPC |
EVAL BRD WIRELESS POWER REC 19 V |
13 |
|
 |
EPC |
BOARD DEV FOR EPC2034 |
0 |
|
 |
EPC |
BOARD DEV EPC2001/21 EGAN |
0 |
|
 |
EPC |
BOARD DEV FOR EPC2016 |
0 |
|
 |
EPC |
BOARD DEV FOR EPC8007 40V EGAN |
0 |
|
 |
EPC |
EVAL BOARD EGAN FET EPC2025 |
0 |
|
 |
EPC |
EVAL BOARD FOR EPC2049 |
0 |
|
 |
EPC |
BOARD DEV FOR EPC2010 200V GAN |
0 |
|
 |
EPC |
EVAL BOARD GAN ZVS CLASS D AMP |
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)