Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
RD9Z1-638-12V-C

RD9Z1-638-12V-C

NXP Semiconductors

REFERENCE DESIGN - MM9Z1_638 BA

0

OM13554UL

OM13554UL

NXP Semiconductors

NX5P1107 LOAD SWITCH BOARD

0

KITPF0100EPEVBE

KITPF0100EPEVBE

NXP Semiconductors

BOARD EVAL MMPF0100

0

KIT33814AEEVBE

KIT33814AEEVBE

NXP Semiconductors

KIT EVAL 33814 SMALL ENGINE

0

KIT10XS6225EKEVB

KIT10XS6225EKEVB

NXP Semiconductors

EVALUATION KIT - MC10XS6225 12

0

KIT10XS3535EVBE

KIT10XS3535EVBE

NXP Semiconductors

KIT EVAL BOARD FOR 10XS3535

0

KIT908-5643EVM

KIT908-5643EVM

NXP Semiconductors

MC33908MB AND MPC5643 DAUGHTER B

0

FRDMCD1020EVM

FRDMCD1020EVM

NXP Semiconductors

FRDMCD1020EVM

25

FRDM-34933EP-EVB

FRDM-34933EP-EVB

NXP Semiconductors

FREEDOM EVAL BOARD MC34933

0

OM13587-PTN5110K

OM13587-PTN5110K

NXP Semiconductors

H AND D BD OM13587

0

KIT33660EFEVBE

KIT33660EFEVBE

NXP Semiconductors

EVAL BOARD MC33660 ISO

0

KITPT2000FRDM3C

KITPT2000FRDM3C

NXP Semiconductors

FREEDOM PLATFORM PT2000 DRIVER

0

KITVALVECNTLEVM

KITVALVECNTLEVM

NXP Semiconductors

EVAL KIT ABS ESP PWR MGMT

0

TJA1145A-EVB

TJA1145A-EVB

NXP Semiconductors

EVAL BOARD FOR TJA1145A

4

OM13516UL

OM13516UL

NXP Semiconductors

PCF85263B EVALUATION BOARD

0

KIT17XS6400EKEVB

KIT17XS6400EKEVB

NXP Semiconductors

EVALUATION KIT - MC17XS6400 12

0

KIT10XS3412EVBE

KIT10XS3412EVBE

NXP Semiconductors

BOARD EVALUATION FOR 10XS3412

0

KIT34675EPEVBE

KIT34675EPEVBE

NXP Semiconductors

KIT EVALUATION FOR MC34675

0

KIT22XS4200EKEVB

KIT22XS4200EKEVB

NXP Semiconductors

EVALUATION KIT - MC22XS4200 DUA

0

OM13561JP

OM13561JP

NXP Semiconductors

DP-LVDS EVALUATION KIT FOR PTN34

0

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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