Kria KV260 Power Supply and Adapter

by: AMD

12V AC/DC wall mount adapter for the Kria™ KV260 Vision AI Starter Kit. Includes interchangeable blades for major regions (North America, Europe, UK, Australia, China).


A must-have power bundle package for the Kria KV260 Vision AI Starter Kit


  • Up to 36W continuous power
  • DoE Level VI, CoC Tier 2 efficiency
  • No load power consumption < 0.075W
  • Universal input voltage range
  • Interchangeable AC blades for global use
  • Over voltage, over current, and short circuit protections
  • UL/cUL, RCM, CCC, and PSE safety approvals
  • Certified to 60950-1 and 62368-1 standards

KV260 Vision AI Starter Kit shown for representation purposes, NOT INCLUDED with the standalone Power Supply and Adapter

Ready to get started?

Get your hands on a Kria KV260 Vision AI Starter Kit for only $199

The KV260 is a fully featured evaluation kit capable of leveraging pre-built accelerated applications to quickly develop unique solutions for production deployment on the K26 SOM.

Getting Started

Step-by-Step Guide to Get Up and Running

Powering Electric Drive Control & Efficiency with Adaptive Computing
Powering Electric Drive Control & Efficiency with Adaptive Computing

Kria™ adaptive System-on-Module (SOM) devices from AMD play an important role in electric drive control. They can optimize performance, help a motor run more efficiently, reduce power consumption, mitigate noise, cut vibration, and detect potential failures before they happen. Download our new motor control eBook to learn more!

Accelerate Your AI-Enabled Edge Solution with Adaptive Computing
Accelerate Your AI-Enabled Edge Solution with Adaptive Computing

Learn all about adaptive SOMs, including examples of why and how they can be deployed in next-generation edge applications, and how smart vision providers benefit from the performance, flexibility, and rapid development that can only be achieved by an adaptive SOM.

Adaptive Computing in Robotics
Adaptive Computing in Robotics

Demand for robotics is accelerating rapidly. Building a robot that is designed to be safe and secure and can operate alongside humans is difficult enough. But getting these technologies working together can be even more challenging. Complicating matters is the addition of machine learning and artificial intelligence, which is making it more difficult to keep up with computational demands.

Roboticists are turning toward adaptive computing platforms, which offer lower latency and deterministic, multi-axis control with built-in safety and security features on an integrated, adaptable platform that is expandable for the future. Read the eBook to learn more.