Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MAX16046EVKIT+

MAX16046EVKIT+

Maxim Integrated

BOARD EVAL FOR MAX16046

8

MAX17055GEVKIT#

MAX17055GEVKIT#

Maxim Integrated

EVKIT FOR TDFN STAND-ALONE MODEL

312

MAX31180EVKIT#

MAX31180EVKIT#

Maxim Integrated

EVALUATION KIT FOR MAX31180, SS

15

MAX15091AEVKIT#

MAX15091AEVKIT#

Maxim Integrated

EVALUATION KIT FOR MAX15091A 2.7

14

MAX11312SYS1#

MAX11312SYS1#

Maxim Integrated

MAX11312 PMOD BRD AND MUNICH BRD

126

MAX6496EVKIT+

MAX6496EVKIT+

Maxim Integrated

KIT EVAL FOR MAX6496

14

MAX14871EVKIT#

MAX14871EVKIT#

Maxim Integrated

EVAL KIT FOR MAX14871

211

MAX34565EVKIT#

MAX34565EVKIT#

Maxim Integrated

KIT EVAL FOR MAX34565

10

MAX20335EVKIT#

MAX20335EVKIT#

Maxim Integrated

EVAL MAX20335 WEAR BATT CHRGE

13

MAX17843EVKIT#

MAX17843EVKIT#

Maxim Integrated

EVAL BOARD FOR MAX17843

119

MAX14529EEVKIT+

MAX14529EEVKIT+

Maxim Integrated

EVAL KIT MAX14529 (OVERVOLTAGE P

13

MAX8900AEVKIT+

MAX8900AEVKIT+

Maxim Integrated

EVAL KIT FOR MAX8900

10

MAX44298EVKIT#

MAX44298EVKIT#

Maxim Integrated

EVKIT FOR MAX44298

14

MAX25520EVKIT#

MAX25520EVKIT#

Maxim Integrated

EVALUATION KIT FOR AUTOMOTIVE 2-

39

MAX5498EVKIT+

MAX5498EVKIT+

Maxim Integrated

KIT EVAL FOR MAX5498

8

MAX6620EVCMAXQU+

MAX6620EVCMAXQU+

Maxim Integrated

EVAL KIT MAX6620 (QUAD LINEAR FA

10

MAX13175EEVKIT+

MAX13175EEVKIT+

Maxim Integrated

EVAL KIT MAX13175E (MULTIPROTOCO

7

MAX2982EVKIT#

MAX2982EVKIT#

Maxim Integrated

EVAL BOARD FOR MAX2982

0

DS28EL25EVKIT#

DS28EL25EVKIT#

Maxim Integrated

EVAL KIT FOR DS28EL25

0

MAX9065EVKIT+

MAX9065EVKIT+

Maxim Integrated

EVAL KIT FOR MAX9065

15

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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