Pi boards and V-GPU server are connected to the same switch, and since Pi has only 10/100M Ethernet connectivity, the performance is quite limited, especially when there’s a large amount of data transfer between host and virtual GPU. Nevertheless, it works with other ARM board with Gigabit (or even 10G) Ethernet as well, and we use Pi just because it’s cheap and easy to get.
You can run CUDA SDK sample applications (except those use OpenGL API) without any modification to source code. Every CUDA application runs transparently on virutal GPU(s).
What’s the application? Honestly, we don’t know the best use of running CUDA on Raspberry Pi, but I can list a few here if you find it interested. You may use it to build a classroom for CUDA training without buying GPU card for everyone. You may use it to build a GPU-accelerated Raspberry Pi farm as a flexible, yet powerful cluster. You may use it in your home automation powered by low-cost Pi+Arduino devices and process images using CUDA-accelerated OpenCV in the same process. You may find some other idea on the CARMA forum as well, and if you have any cool idea, let us know (in the comment or email) and we can provide you the V-GPU binary
Adafruit has had paid day off for voting for our team for years, if you need help getting that going for your organization, let us know – we can share how and why we did this as well as the good results. Here are some resources for voting by mail, voting in person, and some NY resources for our NY based teams as well. If there are additional resources to add, please let us know – adafruit.com/vote
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.