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Short version is that it is a custom board into which you can plug multiple RPi compute modules (and now some Jetson modules) to create a miniature version of a
by evgen 5y ago
Short version is that it is a custom board into which you can plug multiple RPi compute modules (and now some Jetson modules) to create a miniature version of a blade server system; this board is the backplane of that compute module blade system. Use it to create your own edge cluster system I guess; it does not seem particularly useful beyond being a neat curiosity when you put RPi CMs into it, but as a GPU/CUDA node filled with Jetson modules there is some interesting possibility there for people looking for a cheap local cluster for training ML models.
- kreetx 5y agoAnd "RPi CMs" are Raspberry Pi Compute Modules, so apparently these: https://www.raspberrypi.org/products/compute-module-4/?variant=raspberry-pi-cm4001000 https://www.raspberrypi.org/products/compute-module-4/?varia... Ironically, the adapter images that you use to plug in the RPis (which might give you a clue) don't currently load on the Turing Pi homepage.
- hdjjhhvvhga 5y ago4x Jetson nano would cost $240, the Turing board will probably cost around $100 (it looks like they haven't decided yet) and you get 1,88 tflops; you can add 50 bucks and get GTX 1060 with 4.4 tflops and you can play games.
- dnadler 5y agoNot sure that's quite a fair comparison, because you'll need quite a bit more hardware to use the GTX 1060, and I think that the Turing board + Jetson setup would be all-inclusive (except a power supply and chassis, I suppose)? I could be wrong about that though.
- platz 5y agoBut can you do a 4x/cluster SYN flood with a GTX 1060
- datameta 5y agoAgreed save for the caveat that a 4 RPi compute system could actually do quite a bit of Edge ML. Even a single RPi is enough for >15fps image recog.