| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
KIT EVAL FOR MAX98089-WLP |
211 |
|
 |
Maxim Integrated |
EVKIT FOR 2.5KVRMS COMPLETE ISOL |
31 |
|
 |
Maxim Integrated |
EVALUATION KIT FOR DS1925L THERM |
24 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX40008 |
50 |
|
 |
Maxim Integrated |
WLP EV KIT MODELGAUGE M5 MS 12C |
211 |
|
 |
Maxim Integrated |
EVALUATION SYSTEM MAX31856 |
711 |
|
 |
Maxim Integrated |
MODULE PERIPHERAL FOR MAX31855 |
5815 |
|
 |
Maxim Integrated |
EV KIT MAX14483 3.75KV ISO |
131 |
|
 |
Maxim Integrated |
24BIT UNIVERSAL ANALOG INPUT BRD |
25 |
|
 |
Maxim Integrated |
REFERENCE DESIGN |
120 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX9061 |
17 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX17603 |
16 |
|
 |
Maxim Integrated |
DS28E18 EVALUATION SYSTEM |
1424 |
|
 |
Maxim Integrated |
EVKIT FOR SWITCHED CAPACITOR CON |
819 |
|
 |
Maxim Integrated |
EVAL KIT MAX49017 |
20 |
|
 |
Maxim Integrated |
EVAL MAX12935 2CH 5KV DGTL ISO |
211 |
|
 |
Maxim Integrated |
EVAL KIT MAX14699 |
19 |
|
 |
Maxim Integrated |
IIOT PLATFORM WITH I/O CARD |
334 |
|
 |
Maxim Integrated |
KIT EVALUATION FOR MAX4889B/C |
113 |
|
 |
Maxim Integrated |
MAX77958 EVALUATION KIT WITH 6AO |
232 |
|
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)