Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EBK-GN1090B-OPT00

EBK-GN1090B-OPT00

Semtech

BOARD OPT GN1090B 1G-14.5G

0

EBK-GN2017-OPT01

EBK-GN2017-OPT01

Semtech

EVAL BOARD FOR GN2017

0

EBK-GN2010D-ELEC01

EBK-GN2010D-ELEC01

Semtech

EVAL BOARD FOR GN2010D

0

EBK-GN2003S-00

EBK-GN2003S-00

Semtech

EVAL BOARD FOR GN2003S

0

EBK-GN2405A-IB00

EBK-GN2405A-IB00

Semtech

EVAL BOARD FOR GN2405A

0

EBK-GS2985-01

EBK-GS2985-01

Semtech

EVAL BOARD FOR GS2985

0

EBK-GN2010D-OPT01

EBK-GN2010D-OPT01

Semtech

OPTICAL EB FOR GN2010D WITH SNUB

0

EBK-GN1161-OPT00

EBK-GN1161-OPT00

Semtech

EVAL BD OPT 1-11.3G SR LSR DVR

0

EBK-GN2412A-FR00

EBK-GN2412A-FR00

Semtech

EVAL BD GN2412A 12.8GBPS FR408

0

EBK-GS6150-00

EBK-GS6150-00

Semtech

EVAL BOARD 6G GS6150

0

EBK-GS1582-00

EBK-GS1582-00

Semtech

EVAL BOARD FOR EB1582 REV B

0

EBK-GS1572-00

EBK-GS1572-00

Semtech

EVAL BOARD FOR EB1572 REV A

0

EBK-GN2010EA-OPT00

EBK-GN2010EA-OPT00

Semtech

EVAL BOARD FOR GN2010EA

0

EBK-GN1158-ELE00

EBK-GN1158-ELE00

Semtech

EVAL BD ELECT 1-11.3GBPS SR TXRX

0

EBK-GS2975A-00

EBK-GS2975A-00

Semtech

EVAL BOARD FOR EB2975 REV A

0

GN7354-OBOARD

GN7354-OBOARD

Semtech

EVAL BOARD GN7354 10G TXRX

0

GN1155-OBOARD

GN1155-OBOARD

Semtech

EVAL BD OPT 10G VCSEL DVR/AMP

0

EBK-GN2010EA-ELC00

EBK-GN2010EA-ELC00

Semtech

EVAL BOARD FOR GN2010EA

0

EBK-GN2504-00

EBK-GN2504-00

Semtech

DEV BOARD FOR GN2504

0

EVK8K-05

EVK8K-05

Semtech

EVAL KIT FOR EV80101LPT

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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