| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM1276 |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD9558 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADM1087 |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION ADCMP552BRQZ |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADUM4221 |
7 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4270B LTC4271 |
4 |
|
 |
Analog Devices, Inc. |
LTC4238 DEMO BOARD - LSSS MODE, |
4 |
|
 |
Analog Devices, Inc. |
BOARD DEMO FOR LTC3109EUF |
11 |
|
 |
Analog Devices, Inc. |
DEMO BOARD KIT FOR LTC2947 |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADF4360-1 |
1 |
|
 |
Analog Devices, Inc. |
PCB ADM3095E EMC & FAULT PROTECT |
3 |
|
 |
Analog Devices, Inc. |
ADN4654 SOICW EVALUATION BOARD |
14 |
|
 |
Analog Devices, Inc. |
LTC6954-4 DEMO BOARD LOW PHASE N |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LT6600-2.5 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4266A-1 |
1 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC4279 |
34 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC767LP6CE |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4011EFE |
15 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD5930 |
8 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD AD9542 |
1 |
|
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)