Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
CYTK45

CYTK45

Cypress Semiconductor

DEVOPMENT KIT

0

MB2146-210

MB2146-210

Cypress Semiconductor

TOOL KIT

0

MB2146-430A-01-E

MB2146-430A-01-E

Cypress Semiconductor

TOOL KIT

0

IM0096F646

IM0096F646

Cypress Semiconductor

EVALUATION

0

KSK-MB9BF506

KSK-MB9BF506

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2198-634B

MB2198-634B

Cypress Semiconductor

TOOL KIT

0

MB2198-591-E

MB2198-591-E

Cypress Semiconductor

TOOL KIT

0

CY9266-FX

CY9266-FX

Cypress Semiconductor

EVALUATION BOARD FOR HOTLINK

0

MB2197-84

MB2197-84

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

CY3682

CY3682

Cypress Semiconductor

KIT DEVELOPMENT EZ-USB SX2

0

MB2146-401

MB2146-401

Cypress Semiconductor

TOOL KIT

0

CY3681

CY3681

Cypress Semiconductor

KIT USB 2.0 DEVELOPMENT

0

FLR-100 BITS POT BLUE

FLR-100 BITS POT BLUE

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

ROM32LC28PDS

ROM32LC28PDS

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2144-227-01

MB2144-227-01

Cypress Semiconductor

DEV KIT TOOL KIT PWR MGMT

0

MB2147-521

MB2147-521

Cypress Semiconductor

TOOL KIT

0

MB2198-607-E

MB2198-607-E

Cypress Semiconductor

TOOL KIT

0

MB2198-502

MB2198-502

Cypress Semiconductor

TOOL KIT

0

CY9266-F

CY9266-F

Cypress Semiconductor

EVALUATION BOARD FOR HOTLINK

0

MB2198-162-E

MB2198-162-E

Cypress Semiconductor

TOOL 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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