4 ms·
I have a desktop with an excellent processor, RAM, and decent gaming GPU in it. Is this thing remotely worth it for me, or should I stick with what I've got?
by CydeWeys 6y ago
I have a desktop with an excellent processor, RAM, and decent gaming GPU in it. Is this thing remotely worth it for me, or should I stick with what I've got? Who is the target market for these? People who only have laptops with shitty GPUs?
Does anyone make Beowulf clusters of these? I could see that being more cost-effective if you're resource-limited even by what higher end GPUs can do.
- my123 6y agoIt's much slower than your desktop, or higher-powered embedded options from NVIDIA for example (4Tops of AI inference perf... and no training support by design) Note that the Cortex-A35 is a CPU tier _below_ the A53 (80% of the perf at 32% lower power).
- wongarsu 6y agoThe target market seem to be people who want something to integrate ML in their robot or RC car. It features decent inference performance with (comparatively) low power demand. But they can't even do training. Unless you're building something with space and/or power constraints you are much better off with a laptop or desktop.
- CydeWeys 6y agoI have to say, this sounds like quite a niche market they're targeting here.
- wongarsu 6y agoIt's a variant of their development board for their AI accelerator ship for embedded setups (think quality control, licence plate detector, analysing visitors via webcam etc). This variant is probably just to make it more attractive for hobbyists; increasing mindshare and community size. It doesn't need a huge market, and maybe people come up with cool ideas nobody has thought of yet.
- jamiek88 6y agoI’m going to use this or something like it to control a hose to blast water at the deer eating my plants.
- ThrowawayR2 6y agoIoT and embedded computing isn't a niche market. Most households have more embedded and mobile devices than they have desktop/laptop computers.