| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW2804 |
0 |
|
|
Intersil (Renesas Electronics America) |
EVALUATION ZA50-4 |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD3 FOR ISL95871C 50QFN |
0 |
|
|
Intersil (Renesas Electronics America) |
EVALUATION BOARD HIP4080/4081 |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW6868-LB2-GR |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD FOR ISL21007 |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW6815-LA1-GR |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD FOR ISL59116IIZ |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD TI CODEC MOTHER BOARD |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW8834-TA2 |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD FOR DAQ ON A STICK |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW2864B-LD1-GR |
0 |
|
|
Intersil (Renesas Electronics America) |
EVALUATION BOARD 1 ISL6292 |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL AMP MULTIPLEXER |
0 |
|
|
Intersil (Renesas Electronics America) |
EVALUATION PLATFORM FOR ISL6118 |
0 |
|
|
Intersil (Renesas Electronics America) |
EVALUATION BOARD FOR EL4584 |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD ISL613X SUPERVISOR |
0 |
|
|
Intersil (Renesas Electronics America) |
BOARD EVAL FOR ISL5580A MUX |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL OPERATIONAL AMP |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW2865-LA3-GR |
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)