Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
CY4602

CY4602

Cypress Semiconductor

KIT USB 4-PORT HUB REF DESIGN

0

WSC8010E1

WSC8010E1

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2198-635

MB2198-635

Cypress Semiconductor

TOOL KIT

0

MB2198-608SK

MB2198-608SK

Cypress Semiconductor

TOOL KIT

0

MB2198-616SK-E

MB2198-616SK-E

Cypress Semiconductor

TOOL KIT

0

MB2147-581-E

MB2147-581-E

Cypress Semiconductor

TOOL KIT

0

FSDC-FM3-312-1-0016-01

FSDC-FM3-312-1-0016-01

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB88151AEB01-200

MB88151AEB01-200

Cypress Semiconductor

EVAL BOARD

0

CY3290-TMA440

CY3290-TMA440

Cypress Semiconductor

EVALUATION KIT TRUETOUCH

0

CY8CKIT-052

CY8CKIT-052

Cypress Semiconductor

DEVELOPMENT KIT

0

CY4640

CY4640

Cypress Semiconductor

KIT MASS STORAGE REF DESIGN

0

MB919FCR4MULTIIOEVB-E

MB919FCR4MULTIIOEVB-E

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2197-102

MB2197-102

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2198-130-E

MB2198-130-E

Cypress Semiconductor

TOOL KIT

0

MB2197-127

MB2197-127

Cypress Semiconductor

MB2197-127

0

RT-9B618S-EVB

RT-9B618S-EVB

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2197-103

MB2197-103

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

SK-MB9DF125-002

SK-MB9DF125-002

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2197-101

MB2197-101

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

SK-MB9DF125-001

SK-MB9DF125-001

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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