Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
TMC2300-EVAL

TMC2300-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC2300

5

TMC5161-BOB

TMC5161-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD WITH TMC5161

0

TMC5160-EVAL-KIT

TMC5160-EVAL-KIT

TRINAMIC Motion Control GmbH

EVAL KIT FOR TMC5160

38

TMC2100-EVAL-KIT

TMC2100-EVAL-KIT

TRINAMIC Motion Control GmbH

EVAL KIT FOR TMC2100

9

TMC8462-EVAL

TMC8462-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC8462

0

TMC6200-EVAL

TMC6200-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC6200

2

TMC5072-EVAL

TMC5072-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC5072

0

TMC2209 SILENTSTEPSTICK

TMC2209 SILENTSTEPSTICK

TRINAMIC Motion Control GmbH

TMC2209 STEPPER DRIVER BOARD

502

TMC2041-EVAL-KIT

TMC2041-EVAL-KIT

TRINAMIC Motion Control GmbH

EVAL KIT FOR TMC2041

0

TMC2130-EVAL-KIT

TMC2130-EVAL-KIT

TRINAMIC Motion Control GmbH

EVAL KIT FOR TMC2130

5

TMC429-BOB

TMC429-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD WITH TMC429

9

TMC7300-BOB

TMC7300-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD WITH TMC7300

15

TMC2300-BOB

TMC2300-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD WITH TMC2300

15

TMC5130-EVAL

TMC5130-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC5130

45

TMC5160-BOB

TMC5160-BOB

TRINAMIC Motion Control GmbH

BREAKOUTBOARD WITH TMC5160

608

TMC5062-EVAL

TMC5062-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC5062

1

TMC7300-EVAL

TMC7300-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC7300

2

TMC2224-EVAL

TMC2224-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC2224

4

TMC7300-EVAL-KIT

TMC7300-EVAL-KIT

TRINAMIC Motion Control GmbH

EVAL KIT FOR TMC7300

3

TMC6100-EVAL

TMC6100-EVAL

TRINAMIC Motion Control GmbH

EVAL BOARD FOR TMC6100

12

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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