Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
SI2415FT18-EVB

SI2415FT18-EVB

Silicon Labs

BOARD EVAL SI2415 + SI3018 24PIN

0

SI2434-D-FT18-EVB

SI2434-D-FT18-EVB

Silicon Labs

BOARD EVAL ISOMODEM 24PIN

0

CP2201EK

CP2201EK

Silicon Labs

KIT EVAL FOR CP2201 ETH CTRLR

0

OPENLPPOL-EVB

OPENLPPOL-EVB

Silicon Labs

BOARD EVAL OPEN-LOOP POL

0

SI5386E-E-EVB

SI5386E-E-EVB

Silicon Labs

EVALUATION BOARD KIT

0

TS4101DB

TS4101DB

Silicon Labs

EVAL BOARD FOR TS4101

0

TS4100DB

TS4100DB

Silicon Labs

EVAL BOARD FOR TS4100

0

SI5347-EVB

SI5347-EVB

Silicon Labs

EVAL BOARD FOR SI5347A

0

SI5348-EVB

SI5348-EVB

Silicon Labs

EVALUATION BOARD SI5348

0

SI5341-EVB

SI5341-EVB

Silicon Labs

EVAL BOARD FOR SI5341A

0

ENERGY-HARVEST-RD

ENERGY-HARVEST-RD

Silicon Labs

RD ENERGY HARVESTING

0

SI5381E-E-EVB

SI5381E-E-EVB

Silicon Labs

EVALUATION BOARD KIT

0

SI535X-24QSOP-EVB

SI535X-24QSOP-EVB

Silicon Labs

EVALUATION BOARD FOR SI535X

0

SI2400URT-EVB

SI2400URT-EVB

Silicon Labs

BOARD EVAL FOR SI2400 ISOMODEM

0

POE-VOICE-RD

POE-VOICE-RD

Silicon Labs

KIT REF DESIGN PWR OVER ETHERNET

0

HID-USB-TO-IR-RD

HID-USB-TO-IR-RD

Silicon Labs

KIT REF DESIGN HID USB TO IR

0

MODEMDK

MODEMDK

Silicon Labs

KIT DEV EMBEDDED MODEM

0

SI5345-EVB

SI5345-EVB

Silicon Labs

EVAL BOARD FOR SI5345A

0

CP2501DK

CP2501DK

Silicon Labs

KIT DEVELOPMENT CP2501

0

SI5344-EVB

SI5344-EVB

Silicon Labs

EVAL BOARD SI5344 CLOCK GEN

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)

RFQ BOM Call Skype Email
Top