| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
EVAL BOARD ADCMP396EBZ |
2 |
|
 |
Analog Devices, Inc. |
BOARD DEMO LTC4302CMS-2 |
3 |
|
 |
Analog Devices, Inc. |
LTC4124 LOW POWER 10MA DEMO BOAR |
3 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR HMC720LP3E |
0 |
|
 |
Analog Devices, Inc. |
LTC4376 DEMO BOARD - 12V, 7A IDE |
10 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADM1278 |
6 |
|
 |
Analog Devices, Inc. |
BOARD EVAL CN0290-SDPZ |
2 |
|
 |
Analog Devices, Inc. |
KIT EVAL HMC820LP6CE 2FO |
1 |
|
 |
Analog Devices, Inc. |
ADM3068E EVALUATION BOARD |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HIGH SIDE POWER SW |
0 |
|
 |
Analog Devices, Inc. |
LT4293 DEMO BOARD |
39 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR CN0190 |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR CN0295 |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR AD7877 |
0 |
|
 |
Analog Devices, Inc. |
ADM3064E EVAL BOARD |
2 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC4281 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL HART MODEM AD5700 |
38 |
|
 |
Analog Devices, Inc. |
EVAL BOARD 3A TEC ADN8835 |
15 |
|
 |
Analog Devices, Inc. |
EVAL BOARD MASTER TRANSFORMER CO |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADM1175 |
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)