Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MAX14742EVKIT#

MAX14742EVKIT#

Maxim Integrated

EVKIT FOR SMART, COMPACT, 6A, PO

8

MAX4447EVKIT

MAX4447EVKIT

Maxim Integrated

EVALUATION KIT FOR THE MAX4447,

13

MAX32655EVKIT#

MAX32655EVKIT#

Maxim Integrated

EVKIT FOR HIGH-EFFICIENCY BUCK R

3

MAX98050EVSYS#

MAX98050EVSYS#

Maxim Integrated

MAX98050EVSYS#

217

MAX98091EVKIT#TQFN

MAX98091EVKIT#TQFN

Maxim Integrated

EVALUATION KIT FOR MAX98091, AN

18

MAX14575AEVKIT#

MAX14575AEVKIT#

Maxim Integrated

EVAL KIT MAX14575A (250MA TO 2.5

10

MAX4889AEVKIT+

MAX4889AEVKIT+

Maxim Integrated

KIT EVAL FOR MAX4889

8

MAX20801AEVKIT#

MAX20801AEVKIT#

Maxim Integrated

EVAL MAX20801 MPP TRACK

110

MAX25430AEVKIT#

MAX25430AEVKIT#

Maxim Integrated

EVALUATION KIT MAX25430A

3

MAX6955EVKIT

MAX6955EVKIT

Maxim Integrated

EVAL KIT MAX6955 (2-WIRE INTERFA

6

MAX14436FWEVKIT#

MAX14436FWEVKIT#

Maxim Integrated

EVAL MAX14436 DGTL ISO

310

MAX40009EVKIT#

MAX40009EVKIT#

Maxim Integrated

EVAL KIT MAX40009

34

MAX96715COAXEVKIT#

MAX96715COAXEVKIT#

Maxim Integrated

1.5 GBPS GMSL COMPACT SERIALIZER

9

MAX845EVKIT-MM

MAX845EVKIT-MM

Maxim Integrated

EVAL KIT MAX845

9

MAX13042EEVKIT+

MAX13042EEVKIT+

Maxim Integrated

KIT EVAL MAX13042E 4CH XLATOR

7

MAX20094EVKIT#

MAX20094EVKIT#

Maxim Integrated

EVAL MAX20094 BATTERY CHARGER

318

MAX16972AGTEVKIT#

MAX16972AGTEVKIT#

Maxim Integrated

EVALUATION KIT FOR 3A AUTOMOTIVE

96

MAX9276BCOAXEVKIT#

MAX9276BCOAXEVKIT#

Maxim Integrated

EVKIT PF DE-SERIALIZER

11

MAX4211EEVKIT

MAX4211EEVKIT

Maxim Integrated

EVAL KIT MAX4211A/B/C/D/E/F (HIG

8

MAX14826EVKIT#

MAX14826EVKIT#

Maxim Integrated

EVAL KIT FOR MAX14826

8

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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