Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MAX20340EVKIT#

MAX20340EVKIT#

Maxim Integrated

EVAL MAX20340 POWERLINE MGMT

1137

MAX35103EVKIT#

MAX35103EVKIT#

Maxim Integrated

EVAL KIT FOR MAX35103

1619

MAX35104EVKIT#

MAX35104EVKIT#

Maxim Integrated

EVALUATION KIT FOR NATURAL GAS M

41

MAX149X2EVKIT#

MAX149X2EVKIT#

Maxim Integrated

EVAL KIT FOR MAX149X2

19

MAX20361EVKIT#

MAX20361EVKIT#

Maxim Integrated

EVKIT FOR SINGLE CELL SOLAR HARV

1115

DS28C40EVKIT#

DS28C40EVKIT#

Maxim Integrated

EVAL DS28C40 AUTHENTICTOR

0

DS3232MEVKIT#

DS3232MEVKIT#

Maxim Integrated

BOARD EVAL RTC DS3232M

113

MAXREFDES74#

MAXREFDES74#

Maxim Integrated

REFERENCE DESIGN 18-BIT ADC/DAC

111

MAX77651EVKIT#

MAX77651EVKIT#

Maxim Integrated

EVAL BATTERY CHRGR MAX77651

210

MAX8934AEVKIT+

MAX8934AEVKIT+

Maxim Integrated

EVAL BOARD FOR MAX8934

46

MAX9278ACOAXEVKIT#

MAX9278ACOAXEVKIT#

Maxim Integrated

EVAL KIT FOR MAX9278

18

MAX17205GEVKIT#

MAX17205GEVKIT#

Maxim Integrated

EVKIT FOR MODEL GAUGE M5 MS I2C

3349

MAX4210EEVKIT

MAX4210EEVKIT

Maxim Integrated

EVAL KIT FOR MAX4210

11

MAX4986EVKIT+

MAX4986EVKIT+

Maxim Integrated

KIT EVAL FOR MAX4986

127

MAX22513EVKIT#

MAX22513EVKIT#

Maxim Integrated

EVAL MAX22513 IO-LINK

232

MAX20327EVKIT#

MAX20327EVKIT#

Maxim Integrated

EVAL MAX20327 ANLG SWITCH

214

MAX17601EVKIT#

MAX17601EVKIT#

Maxim Integrated

EVAL KIT FOR MAX17601

15

MAXREFDES212#

MAXREFDES212#

Maxim Integrated

GO-IO INDUSTRIAL IOT

127

MAXREFDES70#

MAXREFDES70#

Maxim Integrated

ULTRASONIC HEAT METER/FLOW METER

67

MAX14933WEVKIT#

MAX14933WEVKIT#

Maxim Integrated

EVAL KIT FOR MAX14933

58

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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