Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EBK-GS3480-00

EBK-GS3480-00

Semtech

EVAL BOARD FOR CABLE DRIVER

0

EBK-GN1190B-ELE00

EBK-GN1190B-ELE00

Semtech

EVAL BOARD ELECT GN1190B 1-14.5G

0

EBK-GS9090-00

EBK-GS9090-00

Semtech

EVAL BOARD FOR EB9090 REV 1

0

EBK-GN2023-00

EBK-GN2023-00

Semtech

EVAL BOARD FOR GN2023

0

EBK-GN1113-00

EBK-GN1113-00

Semtech

EVAL BOARD FOR GN1113

0

GN1153C-EBOARD

GN1153C-EBOARD

Semtech

EVAL BD ELECT 10G FB/DFB LSR DVR

0

EBK-GS1559-00

EBK-GS1559-00

Semtech

EVAL BOARD FOR EB1559 REV C

0

GN1153C-OBOARD

GN1153C-OBOARD

Semtech

EVAL BD OPT 10G FB/DFB LSR DVR

0

EBK-GN1157-ELE00

EBK-GN1157-ELE00

Semtech

EVAL BD ELECT 1-11.3GBPS LR TXRX

0

EBK-GS2985-QUAD01

EBK-GS2985-QUAD01

Semtech

EVAL BOARD FOR SINGLE GS2985-01

0

EBK-GN2013A-00

EBK-GN2013A-00

Semtech

EVAL BOARD FOR GN2013A

0

EBK-GN2425-00

EBK-GN2425-00

Semtech

EVAL BOARD FOR GN2425

0

EBK-GN1114-00

EBK-GN1114-00

Semtech

EVAL BOARD FOR GN1114

0

EBK-GS9091B-00

EBK-GS9091B-00

Semtech

EVAL BOARD FOR EB9091B

0

EBK-GN2004S-00

EBK-GN2004S-00

Semtech

EVAL BOARD FOR GN2004S

0

EBK-GN2013C-00

EBK-GN2013C-00

Semtech

EVAL BOARD FOR GN2013C

0

EBK-GN1160-OPT00

EBK-GN1160-OPT00

Semtech

EVAL BD OPT 1-11.3G LR LSR DVR

0

EBK-GS9090B-00

EBK-GS9090B-00

Semtech

EVAL BOARD FOR EB9090B

0

SMI4029EVB

SMI4029EVB

Semtech

EVAL BOARD FOR SMI4029

0

XE3000EVK

XE3000EVK

Semtech

KIT DEV CODEC XE3000

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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