| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD DEMO FOR 5V LTC4219-12 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD5204 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD9833 |
16 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4271 LTC4290B |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD AD5593RSDZ |
1 |
|
 |
Analog Devices, Inc. |
ADUM1250 EVALUATION BOARD |
15 |
|
 |
Analog Devices, Inc. |
EVAL BD B ADAU1452 SIGMADSP |
27 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADM1191 |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION ADCMP565BPZ |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC2943 |
14 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD5247DBZ |
2 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC2970 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR ADF4360-8 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD 1A TEC ADN8833 |
12 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4267 |
1 |
|
 |
Analog Devices, Inc. |
BOARD DEMO FOR LTC6803-1 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4269-1 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD5270 |
4 |
|
 |
Analog Devices, Inc. |
BOARD DEMO FOR LTC6655BHLS8-2.5V |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4228-1 |
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)