| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
EVAL KIT FOR MAX3420E |
129 |
|
 |
Maxim Integrated |
KIT EVALUATION FOR MAX13047 |
17 |
|
 |
Maxim Integrated |
EVAL KIT MAX22701 SIC DRIVER |
627 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX13485E |
17 |
|
 |
Maxim Integrated |
EVKIT FOR MAX77976 19VIN, 5.5AOU |
433 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX4940 |
630 |
|
 |
Maxim Integrated |
A SUPER CAP BACK-UP REGULATOR DE |
2059 |
|
 |
Maxim Integrated |
BOARD EVAL FOR MAX31865 |
921 |
|
 |
Maxim Integrated |
EVAL KIT MAX5387, MAX5392 |
17 |
|
 |
Maxim Integrated |
EVAL DS28C50 SECURE AUTHENT |
427 |
|
 |
Maxim Integrated |
EVAL MAX17263 FUEL GAUGE |
1332 |
|
 |
Maxim Integrated |
EVAL DS1964 DEEPCOVER SECURE |
236 |
|
 |
Maxim Integrated |
MAX11311 PMOD BOARD |
513 |
|
 |
Maxim Integrated |
EVKIT FOR ELECTRO CHEMICAL AFE W |
43 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX14611 |
137 |
|
 |
Maxim Integrated |
EVKIT FOR MODEL GAUGE M5 MS 1W |
19 |
|
 |
Maxim Integrated |
REFERENCE DESIGN ALAMEDA |
468 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX13487E |
213 |
|
 |
Maxim Integrated |
REFERENCE DESIGN |
35 |
|
 |
Maxim Integrated |
EVAL MAX20046 USB2 PROTECT |
37 |
|
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)