Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
RDK-GENCLOCK-00

RDK-GENCLOCK-00

Semtech

KIT EB4911/1559/1531 GSPI DONGLE

0

RDK-SFP+-COPPER02

RDK-SFP+-COPPER02

Semtech

KIT SFP+ COPPER 10GBPS 12N 24AWG

0

RDK-SFP+-OPTICAL00

RDK-SFP+-OPTICAL00

Semtech

KIT REF DES 10G SFP+ SR CDR

0

EBK-12GSRD-01

EBK-12GSRD-01

Semtech

12G SRD EVAL BOARD WITH LOOPBACK

0

EBK-GO2900-00

EBK-GO2900-00

Semtech

KIT EVAL BD OPT MOD GO292X SMA

0

SX8724CEVK

SX8724CEVK

Semtech

KIT EVAL SX8724C BOARD

0

SX8724SEVK

SX8724SEVK

Semtech

KIT EVAL SX8724S BOARD

0

RDK-SFP+-COPPER00

RDK-SFP+-COPPER00

Semtech

KIT SFP+ COPPER 8.5GBS 8M 30AWG

0

RDK-SFP+-COPPER01

RDK-SFP+-COPPER01

Semtech

KIT SFP+ COPPER 8.5GBS 15M 24AWG

0

TSWIRX-LI-EVM

TSWIRX-LI-EVM

Semtech

1 MHZ/500MA/4.2V DC LI-ION TS512

0

EBK-GS3471-00

EBK-GS3471-00

Semtech

SD,HD,3G LOW POWER EQUALIZING RE

0

RDK-SFP+-COPPER05

RDK-SFP+-COPPER05

Semtech

KIT SFP+ 10GBPS BOARD/HOUSING

0

SC33001AHEVB

SC33001AHEVB

Semtech

EVAL BOARD FOR SC33001AH

0

RDK-SFP+-COPPER03

RDK-SFP+-COPPER03

Semtech

KIT SFP+ COPPER 10GBPS 7M 30AWG

0

RDK-SFP+-COPPER04

RDK-SFP+-COPPER04

Semtech

KIT SFP+ COPPER 8.5GBPS BD/HOUSE

0

EBK-GS12090-00

EBK-GS12090-00

Semtech

GS12090 BI-DIRECTION EVALUATION

0

EBK-GS2993-00

EBK-GS2993-00

Semtech

EVAL BOARD FOR GS2993

0

EBK-GS3490-00

EBK-GS3490-00

Semtech

GS3490 BI-DIRECTIONAL EVAL BOARD

0

EBK-GS2972-00

EBK-GS2972-00

Semtech

EVAL BOARD FOR GS2972

0

EB-DACC-I2C

EB-DACC-I2C

Semtech

EVAL BOARD USB I2C DONGLE

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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