Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MAX1870AEVKIT

MAX1870AEVKIT

Maxim Integrated

EVAL KIT MAX1870A (STEP-UP/STEP-

9

MAX9282ACOAXEVKIT#

MAX9282ACOAXEVKIT#

Maxim Integrated

EVAL KIT FOR MAX9282

14

MAX20360EVKIT#

MAX20360EVKIT#

Maxim Integrated

EVAL BOARD FOR MAX20360

0

MAX9286RCARH3DB#

MAX9286RCARH3DB#

Maxim Integrated

MAX9286 DAUGHTER BOARD FOR RENES

0

MAX9890EVKIT+

MAX9890EVKIT+

Maxim Integrated

EVALUATION KIT FOR MAX9890

16

MAX17050EVKIT#

MAX17050EVKIT#

Maxim Integrated

EVAL KIT FOR MAX17050

10

MAX16029EVKIT+

MAX16029EVKIT+

Maxim Integrated

EVALUATION KIT FOR THE MAX16029/

8

MAX1737EVKIT

MAX1737EVKIT

Maxim Integrated

EVALUATION KIT FOR MAX1737

7

MAX5488EVKIT#

MAX5488EVKIT#

Maxim Integrated

KIT EVALUATION FOR MAX5488

11

MAX9392EVKIT+

MAX9392EVKIT+

Maxim Integrated

KIT EVAL FOR MAX9392

10

MAX9205EVKIT

MAX9205EVKIT

Maxim Integrated

EVAL KIT MAX9205, MAX9206, MAX92

3

MAX20067EVSYS#

MAX20067EVSYS#

Maxim Integrated

EVAL KIT FOR AUTO 3CH DISPLAY BI

9

MAX16550EVKIT#

MAX16550EVKIT#

Maxim Integrated

EVAL MAX16550 PROTECTION IC

332

MAX14514EVKIT+

MAX14514EVKIT+

Maxim Integrated

EVAL KIT MAX14514 (DUAL ELECTROL

7

MAX5391LEVMINIQU+

MAX5391LEVMINIQU+

Maxim Integrated

EVAL KIT MAX5391

11

MAX5079EVKIT

MAX5079EVKIT

Maxim Integrated

EVAL KIT FOR MAX5079

5

MAX14738EVKIT#

MAX14738EVKIT#

Maxim Integrated

EVAL KIT MAX14738

17

MAX17047EVKIT#

MAX17047EVKIT#

Maxim Integrated

EVAL KIT MAX17047 M3 ALGORITHM

14

MAX32000EVKIT#

MAX32000EVKIT#

Maxim Integrated

EVAL BOARD FOR MAX32000

225

MAX5417LEVKIT

MAX5417LEVKIT

Maxim Integrated

EVALUATION KIT/EVALUATION SYSTEM

24

Evaluation and Demonstration Boards and Kits

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.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected 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.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates 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

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino 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)

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