| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
KIT EVAL FOR MAX7325 |
10 |
|
|
Maxim Integrated |
LOW-SIDE SENSING POWER MONITOR E |
0 |
|
|
Maxim Integrated |
EVALUATION KIT ECALL BACKUP BATT |
16 |
|
|
Maxim Integrated |
EVAL KIT MAX14504 (DUAL SPDT NEG |
5 |
|
|
Maxim Integrated |
EVAL KIT USB PORT PROTECTOR |
825 |
|
|
Maxim Integrated |
EVKIT FOR MAX14815, A OCTAL 5 LE |
14 |
|
|
Maxim Integrated |
EVAL KIT MAX17058 MODELGAUGE (1 |
9 |
|
|
Maxim Integrated |
EVAL KIT MAX9618 (HIGH-EFFICIENC |
5 |
|
|
Maxim Integrated |
EVAL KIT MAX17041G (COMPACT, LOW |
0 |
|
|
Maxim Integrated |
EVAL KIT MAX14998 (TWO-LANE AND |
6 |
|
|
Maxim Integrated |
ULTRASONIC FLOW AND DISTANCE MEA |
20 |
|
|
Maxim Integrated |
EVAL KIT FOR MAX12930 OPTOISO |
151 |
|
|
Maxim Integrated |
EVAL KIT FOR MAX14736 |
14 |
|
|
Maxim Integrated |
EVALUATION KIT FOR MAX9940 |
8 |
|
|
Maxim Integrated |
WLP EV KIT MODELGAUGE M5 1S 1W |
17 |
|
|
Maxim Integrated |
KIT EVALUATION FOR MAX1603 |
8 |
|
|
Maxim Integrated |
KIT EVAL FOR MAX14654 |
8 |
|
|
Maxim Integrated |
MAX77818EVSYS FOR PMIC FOR SMART |
822 |
|
|
Maxim Integrated |
EV KIT FOR INTEGRATED DUAL-CHANN |
214 |
|
|
Maxim Integrated |
EVKIT OF SERIALIZER WITH PARALLE |
10 |
|
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)