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The Nvidia Jetson Nano costs the same and is less likely to be killed-off after you’ve invested in the platform. Jetson is actually an important product for Nv
by pabl0rg 6y ago
The Nvidia Jetson Nano costs the same and is less likely to be killed-off after you’ve invested in the platform.
Jetson is actually an important product for Nvidia and Google tends to kill off this type of pet project.
Google/alphabet might have more success with their side-bets if they spun them out as separate companies like Xiaomi and Haier (both Chinese) seem to do.
- jasonvorhe 6y agoGoogle Brillo was renamed to Android Things four years but apart from the change of names, the boards are still supported: https://developer.android.com/things/get-started/kits https://developer.android.com/things/get-started/kits
- paxswill 6y agoWhile they may be supported, the store links for the kits either 404 or the item is discontinued.
- panpanna 6y agoIt's google, what did you expect? This is why I would never recommend this SCB to anyone. Beside being locked to tensorflow, you are also at merci of some random manager at Google.
- tasty_freeze 6y agoThe Jetson nano has 2GB of RAM and is $59. https://www.arrow.com/en/products/945-13541-0000-000/nvidia https://www.arrow.com/en/products/945-13541-0000-000/nvidia
- agumonkey 6y agowhat a nice price point
- panpanna 6y agoThis is rpi4 territory. But I would not recommend the 2GB version. The 4GB versions is barely useful without a swap file on a SSD.
- owowow 6y agoWhy not just use ZRam and go headless? There are plenty of good ncurses apps out there.
- panpanna 6y agoNote that Zram and ML are not best friends, for a number of reasons.
- coredog64 6y agoThe base board for the 2GB version removed the mini PCIE slot, meaning you can’t swap in a cheap drive either.
- tasty_freeze 6y agoMaybe 2GB is barely usable (I'll take your word), but the google coral dev board this thread is about is $100 and has 1GB.
- howlgarnish 6y agoCoral is powered by an Edge TPU (Tensor Processing Unit), which wipes the floor with GPUs like the Jetson Nano when it comes to running Tensorflow: https://blog.usejournal.com/google-coral-edge-tpu-vs-nvidia-jetson-nano-a-quick-deep-dive-into-edgeai-performance-bc7860b8d87a https://blog.usejournal.com/google-coral-edge-tpu-vs-nvidia-... ...and Google is pretty invested in TPUs, since it uses lots of them in house. https://en.wikipedia.org/wiki/Tensor_Processing_Unit https://en.wikipedia.org/wiki/Tensor_Processing_Unit
- michaelt 6y agoThey might be great for inference with tensorflow - but from what I can tell from Google's documentation, Coral doesn't support training at all. I'm sure an ML accelerator that doesn't support training will be great for applications like mass-produced self-driving cars. But for hobbyists - the kind of people who care about the difference between a $170 dev board and a $100 dev board - being unable to train is a pretty glaring omission.
- jnwatson 6y agoTraining is what the cloud is for.
- wongarsu 6y agoThat makes a $170 board that can also do training look dirt cheap in comparison
- lawrenceyan 6y agoGood luck training anything in any reasonable time on it.
- R0b0t1 6y agoUseful for adapting existing models. Not everything needs millions of hours of input.
- rektide 6y agojetson's x1 core (note: not arms new x1 architecture!) is already 5 years old. once upon a time that would scare me, but now, it seems almost comedically safe to say "I guess it's not going anywhere!"
- my123 6y agoAnd it's still faster than the Coral Dev Board mini... (Cortex-A35 is a CPU tier _below_ the A53, there's no contest). The fastest SBC at CPU tasks priced below $100 is the Raspberry Pi.
- rektide 6y agoit's an a57 on the x1 (an architecture from 2012, but a big core), so this coral mini's a35 (new but quite small) very significantly below. the attraction of coral is supposed to be the inference engine. 4 TOps/s at 2 watts is... impressive. Jetson takes 10 or 15 watts & tops out a little under 0.5 TOp/s. those are much more flexible gpu cores but that's 60x efficiency gain & centered around a chip that is much easier to integrate into consumer products.
- my123 6y agoCompared to the Nano yeah, which is just the same SoC since a long time. Xavier NX is 21TOPs at 15W for the whole SoC... but the pricing at $399 puts it in a different category... Google should just start selling the USB sticks at the same price as the M.2 Corals, with them being used on RPis I think...
- snowAbstraction 6y agoAren't there better odroid options if you mainly care about compute?
- rektide 6y agoThe $63 N2+ has the latest "C" rev of the S922X, which is a dual 2.4GHz A73 + 4x A53 and a "MP6" variety of bifrost GPU, a G51. The C4 has the newer S9005X3, which has 4x 2GHz A55 cores and a smaller G31 bifrost gpu. Those A55's, while improved over the A53's, are going to be sigificantly outmatched by the A73 cores on the N2+. The H2+ has an Intel J4115 Atom celeron running 2.3GHz all-core, which I expect would trounce these ARM chips. It's also $120. Alas there hasn't been any update to the excellent Exynos5422 that started HardKernel's/Odroid's ascent as the XU4. Lovely 2GHz Cortex 4x A15 4x A7 with (2x! wow! thanks!) USB3 root hosts and on-package RAM: really an amazing chip way ahead of it's time. These days it's way outgunned but this chip really lead the way for SBCs with it's bigger cores for the time, USB3, and on-package RAM (which we really need to see a comeback on). Worth noting that the A73 on the N2/N2+ and RPi4 are from ARM Artemis, which hails from 2016. Maybe some year SBC won't all be running half decade old architectures, but at least we're at the point where half a decade ago we were doing something right. ;) Still, one can't help but imagine what a wonder it would be if an chip & SBC were to launch with an ARM X1 chip available.
- ekianjo 6y ago> Jetson is actually an important product for Nvidia and Google tends to kill off this type of pet project. Jetson has obsolete distros though? Linux support is probably better with Google if anything.
- conception 6y agoWhich is odd because they created Alphabet to do that very thing.
- ethbr0 6y agoAnd here I thought they created Alphabet because of Wall Street pressure.