Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MB39C811-EVB-03

MB39C811-EVB-03

Cypress Semiconductor

BOARD EVAL ENERGY HARVEST SOLAR

0

CY4541

CY4541

Cypress Semiconductor

KIT DEV TYPE C CNTRLR

11

CY8CKIT-048

CY8CKIT-048

Cypress Semiconductor

ANALOG COPROCESSOR KIT

10

CY4608M

CY4608M

Cypress Semiconductor

KIT USB 4-PORT HUB REF DESIGN

8

CY15FRAMKIT-001

CY15FRAMKIT-001

Cypress Semiconductor

SERIAL F-RAM DEV KIT

3

CYUSBS236

CYUSBS236

Cypress Semiconductor

DEVELOPMENT KIT FOR CY7C65215

15

CY4607M

CY4607M

Cypress Semiconductor

KIT USB 4-PORT HUB REF DESIGN

11

CYDP1544

CYDP1544

Cypress Semiconductor

DEVELOPMENT KIT

0

CYDP1543

CYDP1543

Cypress Semiconductor

DEVELOPMENT KIT

0

CYDP1545

CYDP1545

Cypress Semiconductor

DEVELOPMENT KIT

0

CYFL225-002

CYFL225-002

Cypress Semiconductor

DEVELOPMENT KIT

0

CYFL248-002

CYFL248-002

Cypress Semiconductor

DEVELOPMENT KIT

0

CY3290-TMA1036A

CY3290-TMA1036A

Cypress Semiconductor

DEVELOPMENT KIT

0

CY7112

CY7112

Cypress Semiconductor

CY7112 EZ-PD PMG1-S2 PROTOTYPING

0

CYFL248-004

CYFL248-004

Cypress Semiconductor

DEVELOPMENT KIT

0

CYFL248-001

CYFL248-001

Cypress Semiconductor

DEVELOPMENT KIT

0

CY4615B

CY4615B

Cypress Semiconductor

KIT USB TO ATA REFERENCE DESIGN

0

CY3687

CY3687

Cypress Semiconductor

KIT DEV MOBL-USB FX2LP18

0

CYFL248-003

CYFL248-003

Cypress Semiconductor

DEVELOPMENT KIT

0

CYDP1049

CYDP1049

Cypress Semiconductor

DEVELOPMENT KIT

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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