Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
TJA1128EVB

TJA1128EVB

NXP Semiconductors

TJA1128EVB

0

FRDM-PF1550EVM

FRDM-PF1550EVM

NXP Semiconductors

FREEDOM EXPANSION BOARD -PF1550

8

OM13314,598

OM13314,598

NXP Semiconductors

BOARD DEMO TDA5051A

1

KITPF8121FRDMEVM

KITPF8121FRDMEVM

NXP Semiconductors

FRDM EXPANSION BOARD PF8121

1

MTRDEVKSPNK144

MTRDEVKSPNK144

NXP Semiconductors

S32K144 MOTOR CTRL

4

KITPF502XSKTEVM

KITPF502XSKTEVM

NXP Semiconductors

KITPF502XSKTEVM

4

KITPF4210EPEVB

KITPF4210EPEVB

NXP Semiconductors

PF4210 EVAL BOARD

7

OM6290,598

OM6290,598

NXP Semiconductors

DEMO BOARD LCD GRAPHIC DRIVER

1

OM13510UL

OM13510UL

NXP Semiconductors

BOARD EVAL PCF85263A

12

KITFS6523CAEEVM

KITFS6523CAEEVM

NXP Semiconductors

EVALUATION KIT - FS6523 SYSTEM

1

MCSXTE2BK142

MCSXTE2BK142

NXP Semiconductors

EVAL BOARD FOR GD3000 S32K142

5

OM13515UL

OM13515UL

NXP Semiconductors

EVALUATION BOARD PCX85063A

4

FRDM33771CSPEVB

FRDM33771CSPEVB

NXP Semiconductors

FREEDOM DEV KIT MC33771

10

DEVKIT-MOTORGD

DEVKIT-MOTORGD

NXP Semiconductors

DEVKIT FOR MOTORGD

32

NTBMS-FSNXP

NTBMS-FSNXP

NXP Semiconductors

BATTERY MGMT REF DESIGN ASIL C

1

FRDM-GD3100EVM

FRDM-GD3100EVM

NXP Semiconductors

EVAL BOARD HALF-BRIDGE - GD3100

2

S12ZVMC256EVB

S12ZVMC256EVB

NXP Semiconductors

S12ZVMC256 EVALUATION BOARD

0

FRDM-33931-EVB

FRDM-33931-EVB

NXP Semiconductors

EVAL BOARD FOR MC33931

0

MTRCKTSPNZVM128

MTRCKTSPNZVM128

NXP Semiconductors

BOARD DEV FOR MC9S12ZVML128

4

RDGD3100I3PH5EVB

RDGD3100I3PH5EVB

NXP Semiconductors

RDGD3100I3PH5EVB

4

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