Selecting the right edge device for real-time AI-powered vision is a critical decision that can impact the performance, usability, and versatility of your applications. This comparison between the ...

What if your next AI-driven project could process data in real-time, without relying on the cloud, all while maintaining lightning-fast speeds and ironclad privacy? As edge AI continues to transform ...

Last year NVIDIA launched the Jetson AGX Xavier board which aimed to be the brains behind next-gen AI devices. NVIDIA has now announced the Jetson Nano developer board that it says will enable the ...

NVIDIA’s next single-board computer will offer 6X the processing power of its predecessor, while keeping the same small size and form factor. Just don’t expect the new NVIDIA Jetson AGX Orin it to ...

What’s better than a Raspberry Pi Compute Module? If you’re working on projects that support parallel processing, the answer might be two Raspberry Pi Compute Modules… or maybe four of them. Super ...

Forbes contributors publish independent expert analyses and insights. Dave Altavilla is a Tech Analyst covering chips, compute and AI. Development of autonomous machines is an exploding field, as ...

The Raspberry Pi may be the most widely know board computer being sold, but Nvidia’s Jetson TX2 is one of the fastest. The Jetson TX2, unveiled Tuesday, is a full Linux computer on a tiny board the ...

Machine learning is everywhere. Voice and handwriting recognition, medical diagnoses, digital assistants (like the Google Assistant or Siri) and self driving cars are just a scratch in the surface of ...

When comparing the Raspberry Pi and Arduino, it's no secret that the Pi is undoubtedly the more powerful board. It is, after all, a single-board computer (SBC) that can run a fully functional ...

NVIDIA has been in the machine learning and AI game for a number of years now. The company launched the Jetson TX1 “Supercomputer-on-Module” back in 2015 as an embedded solution for robots, drones, ...

When you think of high-performance computing powered by NVIDIA hardware, you probably think of applications leveraging the capabilities of the company’s graphics cards. In many cases, you’d be right.