| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
EV KIT FOR ULTRA-HIGH CMTI SILIC |
112 |
|
|
Maxim Integrated |
MAX77751C EVALUATION KIT FOR 4.2 |
15 |
|
|
Maxim Integrated |
EVAL MAX20313 ADJ CRNT LMT SWTCH |
120 |
|
|
Maxim Integrated |
EV KIT FOR MAX15090C 2.7V TO 18V |
12 |
|
|
Maxim Integrated |
EVAL KIT/SYSTEM MAX6653, MAX6663 |
6 |
|
|
Maxim Integrated |
MAX11311 PMOD BRD AND MUNICH BRD |
14 |
|
|
Maxim Integrated |
EVAL KIT MAX8586 (SINGLE 1.2A US |
9 |
|
|
Maxim Integrated |
EVAL KIT FOR MAX14653 (HIGH CURR |
5 |
|
|
Maxim Integrated |
EVAL MAX14434 5KV DGTL ISO |
17 |
|
|
Maxim Integrated |
IIOT PLATFORM W/CARRIER CARD |
312 |
|
|
Maxim Integrated |
EVALUATION KIT FOR MAX4313 |
9 |
|
|
Maxim Integrated |
KIT EVAL MAX14535E |
7 |
|
|
Maxim Integrated |
EVAL KIT MAX14739 |
15 |
|
|
Maxim Integrated |
EVAL KIT MAX17059 MODELGAUGE (2C |
7 |
|
|
Maxim Integrated |
EVAL KIT FOR 3.12GPBS DESERIALIZ |
14 |
|
|
Maxim Integrated |
KIT EVAL FOR MAX7325 |
11 |
|
|
Maxim Integrated |
EVAL KIT/SYSTEM MAX5128 (128-TAP |
10 |
|
|
Maxim Integrated |
EVAL PMIC MAX77714 |
118 |
|
|
Maxim Integrated |
OVERVOLTG PROTECTOR EVAL MAX1472 |
126 |
|
|
Maxim Integrated |
EVAL FOR MAX16141 |
237 |
|
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)