Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MB88154AEB01-103

MB88154AEB01-103

Cypress Semiconductor

EVAL BOARD

0

CY4611

CY4611

Cypress Semiconductor

KIT USB TO ATA REFERENCE DESIGN

0

MB2198-163-E

MB2198-163-E

Cypress Semiconductor

TOOL KIT

0

MB2198-600A6-E

MB2198-600A6-E

Cypress Semiconductor

TOOL KIT

0

CY30700

CY30700

Cypress Semiconductor

KIT PROG FOR CY22150

0

MOTORKIT-91F267-MC

MOTORKIT-91F267-MC

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB39C831-EVB-02

MB39C831-EVB-02

Cypress Semiconductor

EVAL BOARD MB39C831

0

SK-86R12-ADA-JTAG

SK-86R12-ADA-JTAG

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2147-01

MB2147-01

Cypress Semiconductor

TOOL KIT

0

MB2197-80

MB2197-80

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB39C605-EVB-HM02

MB39C605-EVB-HM02

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2197-161

MB2197-161

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2146-550-E

MB2146-550-E

Cypress Semiconductor

TOOL KIT

0

MB2198-100-E

MB2198-100-E

Cypress Semiconductor

TOOL KIT

0

MB2146-403-01-E

MB2146-403-01-E

Cypress Semiconductor

TOOL KIT

0

MB2198-767-02-E

MB2198-767-02-E

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB91919-814

MB91919-814

Cypress Semiconductor

TOOL KIT

0

ADA-91460-88121-FLEXRAY

ADA-91460-88121-FLEXRAY

Cypress Semiconductor

ADA-91460-88121-FLEXRAY

0

MB2147-10

MB2147-10

Cypress Semiconductor

TOOL KIT

0

SK-91F467D

SK-91F467D

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

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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