Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EV001-GLF71321

EV001-GLF71321

GLF Integrated Power

GLF71321 EVB

5

EV014-GLF74130

EV014-GLF74130

GLF Integrated Power

GLF74130 EVB

5

EV010-GLF71303

EV010-GLF71303

GLF Integrated Power

GLF71303 EVB

5

EV002-GLF71310

EV002-GLF71310

GLF Integrated Power

GLF71310 EVB

5

EV002-GLF72111

EV002-GLF72111

GLF Integrated Power

GLF72111 EVB

5

EV010-GLF71307

EV010-GLF71307

GLF Integrated Power

GLF71307 EVB

5

EV002-GLF71311

EV002-GLF71311

GLF Integrated Power

GLF71311 EVB

5

EV001-GLF71320

EV001-GLF71320

GLF Integrated Power

GLF71320 EVB

5

EV002-GLF71313

EV002-GLF71313

GLF Integrated Power

GLF71313 EVB

5

EV011-GLF73910-AD01C

EV011-GLF73910-AD01C

GLF Integrated Power

GLF73910-AD01C EVB

5

EV001-GLF71325

EV001-GLF71325

GLF Integrated Power

GLF71325 EVB

5

EV011-GLF73910-BD01

EV011-GLF73910-BD01

GLF Integrated Power

GLF73910-BD01 EVB

5

EV010-GLF71302

EV010-GLF71302

GLF Integrated Power

GLF71302 EVB

5

EV002-GLF71511

EV002-GLF71511

GLF Integrated Power

GLF71511 EVB

5

EV001-GLF72101

EV001-GLF72101

GLF Integrated Power

GLF72101 EVB

5

EV012-GLF76321

EV012-GLF76321

GLF Integrated Power

GLF76321 EVB

5

EV011-GLF73910-AD01

EV011-GLF73910-AD01

GLF Integrated Power

GLF73910-AD01 EVB

5

EV006-GLF74520

EV006-GLF74520

GLF Integrated Power

GLF74520 EVB

5

EV010-GLF71301

EV010-GLF71301

GLF Integrated Power

GLF71301 EVB

5

EV012-GLF76121

EV012-GLF76121

GLF Integrated Power

GLF76121 EVB

5

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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