Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MAX20047EVKIT#

MAX20047EVKIT#

Maxim Integrated

EVAL MAX20047 CHARGER

330

MAX22518EVKIT#

MAX22518EVKIT#

Maxim Integrated

2-CHANNEL, U-POWERED DIGITAL ISO

512

MAX1564EVKIT

MAX1564EVKIT

Maxim Integrated

EVAL KIT MAX1564 (TRIPLE 1.2A US

7

MAX3162EVKIT+

MAX3162EVKIT+

Maxim Integrated

EVAL KIT MAX3162 (+3.0V TO +5.5V

5

MAX77642EVKIT#

MAX77642EVKIT#

Maxim Integrated

EVKIT FOR ULTRA-POWER PMIC FEATU

244

MAX5417LEVCMODU

MAX5417LEVCMODU

Maxim Integrated

EVALUATION KIT/EVALUATION SYSTEM

118

MAX5986AEVKIT#

MAX5986AEVKIT#

Maxim Integrated

EVAL KIT MAX5986

9

MAX1757EVKIT

MAX1757EVKIT

Maxim Integrated

EVALUATION KIT FOR MAX1757

6

MAX20095EVSYS#

MAX20095EVSYS#

Maxim Integrated

EVALUATION KIT ECALL BACKUP BATT

8

MAX9218EVKIT+

MAX9218EVKIT+

Maxim Integrated

KIT PCB EVALUATION FOR MAX9218

5

MAX7358EVKIT+

MAX7358EVKIT+

Maxim Integrated

EVAL KIT MAX7356, MAX7357, AND M

27

MAX9979EVKIT+

MAX9979EVKIT+

Maxim Integrated

EVAL KIT MAX9979

10

DS28EL22EVKIT#

DS28EL22EVKIT#

Maxim Integrated

EVAL KIT FOR DS28EL22

13

MAX14739EVKIT#

MAX14739EVKIT#

Maxim Integrated

EVAL KIT MAX14739

17

MAX8971EVKIT#

MAX8971EVKIT#

Maxim Integrated

EVAL KIT MAX8971 (SWITCH-MODE LI

10

MAX20025EVKIT#

MAX20025EVKIT#

Maxim Integrated

EVAL KIT FOR LOW VOLT PWR

28

MAX5432EVKIT+

MAX5432EVKIT+

Maxim Integrated

KIT EVAL FOR MAX5432

8

MAX16136EVKIT#

MAX16136EVKIT#

Maxim Integrated

EVAL KIT MAX16136(1% ACCURACY VO

40

MAXCAM705OV635AAA#

MAXCAM705OV635AAA#

Maxim Integrated

MAX96705 BASED CAMERA WITH OV106

1114

MAX77863EVKIT#

MAX77863EVKIT#

Maxim Integrated

EVAL MAX77863 PMIC

318

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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