Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
FRDM-24XSMBEVB

FRDM-24XSMBEVB

NXP Semiconductors

FREEDOM PLATFORM MOTHER BOARD FO

0

FRDM-HB2000FEVM

FRDM-HB2000FEVM

NXP Semiconductors

FREEDOM EXPANSION BOARD HB2000

0

KIT33810EKEVB

KIT33810EKEVB

NXP Semiconductors

EVAL KIT MC33810EK ENGINE 33810

0

KITVR5100FRDMPGM

KITVR5100FRDMPGM

NXP Semiconductors

EVALUATION KIT - VR5100 PROGRAM

0

TEA1999DB1504UL

TEA1999DB1504UL

NXP Semiconductors

TEA1999 DEMOBOARD 1504

0

FRDM-17533EV-EVB

FRDM-17533EV-EVB

NXP Semiconductors

FREEDOM EVAL BOARD MPC17533

0

FRDM-BC3770-EVB

FRDM-BC3770-EVB

NXP Semiconductors

EXPANSION KIT FREEDOM BC3770

0

FRDM-HB2002ESEVM

FRDM-HB2002ESEVM

NXP Semiconductors

EVB FOR MC33772 SPI

0

OM13319,598

OM13319,598

NXP Semiconductors

NVT2003DP DEMOBOARD

0

FRDM-50XSDBEVB

FRDM-50XSDBEVB

NXP Semiconductors

FREEDOM PLATFORM DAUGHTER BOARD

0

FRDMPF1510EVM

FRDMPF1510EVM

NXP Semiconductors

FREEDOM EVAL BOARD PF1510 PMIC

10

KITPF5020FRDMEVM

KITPF5020FRDMEVM

NXP Semiconductors

KITPF5020FRDMEVM

5

KIT50XS4200EKEVB

KIT50XS4200EKEVB

NXP Semiconductors

EVALUATION KIT - MC50XS4200 DUA

0

KIT33908LAEEVB

KIT33908LAEEVB

NXP Semiconductors

EVAL KIT MC33908 SBC BUCK BOOST

0

KIT33879AEKEVBE

KIT33879AEKEVBE

NXP Semiconductors

BOARD EVALUATION FOR MC33879

0

KIT34932SEKEVB

KIT34932SEKEVB

NXP Semiconductors

EVALUATION KIT - MC34932 36V -

0

KIT33972AEWEVBE

KIT33972AEWEVBE

NXP Semiconductors

KIT EVALUATION FOR MC33972

0

OM13323,598

OM13323,598

NXP Semiconductors

NVT2006PW DEMOBOARD

0

KIT15XS3400EVBE

KIT15XS3400EVBE

NXP Semiconductors

BOARD EVALUATION FOR 5XS3400

0

RD9Z1-638-12V

RD9Z1-638-12V

NXP Semiconductors

REFERENCE DESIGN - MM9Z1_638 AU

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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