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Yeah, I recently spied the 4 node Jetson Mate carrier board on CNX that facilitates building your own Multi GPU cluster ;) https://www.seeedstudio.com/Jetson-M
by ArtWomb 6y ago
Yeah, I recently spied the 4 node Jetson Mate carrier board on CNX that facilitates building your own Multi GPU cluster ;)
https://www.seeedstudio.com/Jetson-Mate-Cooling-Kit-p-4784.html https://www.seeedstudio.com/Jetson-Mate-Cooling-Kit-p-4784.h...
They recommend Kubernetes for private cloud workloads. But I am wondering if there isn't room in the ecosystem for a new virtualization / containerization technology to orchestrate tasks on multi gpus? Have heard NVidia is developing its own OS, or rather two, one for Cloud AI and one for real time robotics, but its still research phase...
- thetanil 6y agoyeah, I'm excited to get my hands on some Jetsons too. the 4gb memory on the pi is really a big pro though. when one of these SBCs finally comes with 8GB and GPU acceleration for < 100$ we will see some real progress I think.
- epmaybe 6y agoPi comes with 8gb ram now
- rualca 6y ago> when one of these SBCs finally comes with 8GB and GPU acceleration for < 100$ (...) It might have GPU acceleration but the RPi already comes with 8GB of RAM for about 80$. https://www.raspberrypi.org/blog/8gb-raspberry-pi-4-on-sale-now-at-75/ https://www.raspberrypi.org/blog/8gb-raspberry-pi-4-on-sale-...
- SloopJon 6y agoThat's a slick cluster in a box. I'm not sure which modules I'd put on it, though. Unless you harvest them from the 2 GB dev kits, the total price pushes up against a single Jetson Xavier AGX, which is a better value (and has an M.2 slot for an SSD).