Xilinx, now AMD is no longer limiting its market potentials to just the programmable logic market, where it has released several products in the line of Field Programmable Gate Arrays (FPGAs) and a range of other related applications.
Given the increasing demand for Artificial Intelligence (AI)-centric devices, the company has thrown its hat into the ring and launched the Xilinx Kria KV260 Vision AI Starter Kit. It is one of the best evaluation platforms you can use to test the viability of your Vision AI-based applications.
In this article, you will find out some of the additional attributes of the Xilinx Kria KV260 Vision AI Starter Kit.
What is Xilinx Kria KV260?
It is an Artificial Intelligence (AI) starter kit; more of a primary platform for facilitating the building of AI applications. The primary designation of the kit is for testing or evaluating the applications based on the Vision AI platform.
In light of the growing demands for AI applications and the need to ensure an optimum performance of these applications, it makes sense for the provisions by the Xilinx Kria KV260 Vision AI Starter Kit to gain real-world traction.
Adapting to Computing Needs via the SOM
Xilinx (now a part of AMD) broke away from the stereotyped production of Field Programmable Gate Arrays (FPGAs) and opted to try its hands on the development of System-on-Modules (SOMs). The Xilinx Kria KV260 Vision AI Starter Kit is designed to adapt to the ever-changing ecosystem in the SOM market.
The Xilinx Kria KV260 Vision AI Starter Kit leverages the Kria K26 System-on-Module (SOM), which has been configured to adapt to the targeted applications of Artificial Intelligence (AI) in both smart factories and smart cities.
Benefits of the Xilinx Kria Portfolio
The Xilinx Kria portfolio features a wide range of devices and starter kits optimized for the highest levels of performances, while integrating a series of high-performance industrial interfaces and native ROS 2 support.
To that end, developers can leverage the Xilinx Kria KV260 Vision AI Starter Kit to build a wide of applications targeted at bolstering the computations required when dealing with vision-guided robotics, smart vision applications and traffic & city cameras.
1. Unmatched Performance
The Xilinx Kria KV260 Vision AI Starter Kit also offers unmatched performance, across different facets. Worthy of mention is that the kit features a faster deployment pathway, which includes the simplified path from the conception, production and design revisions for the targeted applications.
It also offers an unmatched performance, which features the use of low latency to maintain low power for the AI-based applications.
The integration of several prebuilt hardware acceleration tools also empowers the developers to quickly move from the developmental starting point to the product differentiation.
2. Design Readiness
Getting started with the Xilinx Kria KV260 Vision AI Starter Kit can take anywhere between an hour or two. The vision-ready optimization of the kit enables the developers to get started by using the plethora of provided options, including a built-in ISP component (OnSemi), multicamera support up to 8 interfaces and the provision of both the DisplayPort and HDMI outputs.
The kit also spots 3 MIPI sensor interfaces, with provisions for Universal Serial Bus (USB)-enabled cameras.
3. Design Accessibility
Accessing the components in the Xilinx Kria KV260 Vision AI Starter Kit is easier, thanks to the accessibility of its design.
In addition to being affordable, the Xilinx Kria KV260 Vision AI Starter Kit is also readily available at any of the major distributors or you can purchase directly from the company.
4. Expandable Design
The design of the Xilinx Kria KV260 Vision AI Starter Kit can be expanded to accommodate many other options. For example, it can be expanded to enable real-time connection to any interface or sensor.
The Xilinx Kria KV260 Vision AI Starter Kit is also expandable along the area of enabling access to the Pmod ecosystem.
Features of the Xilinx Kria KV260 Vision AI Starter Kit
The kit comes with a variety of features that you wouldn’t like to miss. Here is a breakdown of each and how they impact the overall configuration of the AI-based applications:
Based on a Robust Architecture
The Zynq UltraScale+ MPSoC architecture powers the Xilinx Kria KV260 Vision AI Starter Kit. The architecture, among many other things, provides support for the adaptability of the kit’s AI-based application’s solutions.
It also supports the ongoing designs or reprogramming of the kit to adapt or fit into a wide range of other functionalities.
Worthy of mentioning is that the Xilinx Kria KV260 Vision AI Starter Kit also provides support for the reduction of risks, by reusing any of the production models that have proven to work over time. This, in addition to the concentrated development, help to accelerate the time it takes to conceptualize, evaluate and push out the final products into the market.
Why You Should Work with the Kit
In addition to the unique features, these are some of the additional reasons why an investment in the Xilinx Kria KV260 Vision AI Starter Kit is worth every dollar.
Entry-Level Evaluation Process
You don’t necessarily need to be a techie or experienced with AI-based application evaluation before you get to work with the Xilinx Kria KV260 Vision AI Starter Kit. This is because of the simplified design process, including the fact that you can leverage the provided educational materials to get started almost immediately.
Optimized for Smart Applications
Xilinx Kria KV260 Vision AI Starter Kit fits into the market needs for smart applications. On the list of the supported applications are:
- Machine Vision
- Retail Analytics
- Smart Cameras
- Security
It is Affordable
The kit doesn’t cost an arm and a leg. It is an under $200 AI-based application evaluation kit, with a market price of $199 from the official AMD-Xilinx website.
Out-of-the-Box AI-Based Application’s Deployment
Deploying the AI-powered solutions with the kit is faster and concise. The five-step process to rolling out the evaluated solutions include connecting the monitor, camera and cables before inserting the programmed microSD card.
After this, power the circuit board, load the already-accelerated application unto the device and run the accelerated application.
Conclusion
Start using the Xilinx Kria KV260 Vision AI Starter Kit to tackle some of the bottlenecks in AI-based application’s development, resolve any design challenges and deploy the finished applications to the market in the shortest time possible.
