Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MAX98090EVKIT#WLP

MAX98090EVKIT#WLP

Maxim Integrated

BOARD EVAL FOR ULP STEREO CODEC

813

MAX14922EVKIT#

MAX14922EVKIT#

Maxim Integrated

EV KIT FOR HIGH-SIDE SWITCH CONT

28

MAX22195EVKIT#

MAX22195EVKIT#

Maxim Integrated

EVAL MAX22195 OCTL TRNSLTR

116

MAX14808EVSYS#

MAX14808EVSYS#

Maxim Integrated

EVAL SYSTEM FOR MAX14808

2424

MAX17612BEVKIT#

MAX17612BEVKIT#

Maxim Integrated

EVAL MAX17612B OVER V/A

24

MAX20343EVKIT#

MAX20343EVKIT#

Maxim Integrated

EVAL MAX20343

1034

DS28E80EVKIT#

DS28E80EVKIT#

Maxim Integrated

EVAL KIT FOR DS28E80

11

MAX22190EVSYS#

MAX22190EVSYS#

Maxim Integrated

EVAL KIT W/MAX22190EVKIT#-USB2PM

26

MAXM86161EVSYS#

MAXM86161EVSYS#

Maxim Integrated

INTEGRATED PPG MODULE FOR IN EAR

13104

MAX3421EVKIT-1+

MAX3421EVKIT-1+

Maxim Integrated

EVAL KIT FOR MAX3421E

310

MAXREFDES31#

MAXREFDES31#

Maxim Integrated

REFERENCE DESIGN PASADENA

678

MAX4885EEVKIT+

MAX4885EEVKIT+

Maxim Integrated

KIT EVALUATION FOR MAX4885E

17

MAX40026EVKIT#

MAX40026EVKIT#

Maxim Integrated

EVAL MAX40026 COMPARATOR

510

MAX9062EVKIT+

MAX9062EVKIT+

Maxim Integrated

KIT EVAL FOR MAX9062

18

DS28E22EVKIT#

DS28E22EVKIT#

Maxim Integrated

EVAL KIT FOR DS28E22

38

MAX14840PMB1#

MAX14840PMB1#

Maxim Integrated

MODULE PERIPHERAL FOR MAX14840

4574

MAX9924UEVKIT+

MAX9924UEVKIT+

Maxim Integrated

KIT EVAL FOR MAX9924

13

MAX2234XSEVKIT#

MAX2234XSEVKIT#

Maxim Integrated

EVAL MAX2234 DGTL ISO 3.75KV

118

MAX14819EVKIT#

MAX14819EVKIT#

Maxim Integrated

EV KIT IO-LINK FOR MAX14819

512

MAX6079EVKIT#

MAX6079EVKIT#

Maxim Integrated

EVAL MAX6079 VREF 2.5V

224

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)

RFQ BOM Call Skype Email
Top