Originally posted by pkese
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NVIDIA Unveils $59 USD Raspberry Pi Competitor With Jetson Nano 2GB
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Originally posted by BesiegedAce View Post
Yeah, while I'm no fan of nVidia, I feel like I've specifically read somewhere that Tegra has pretty good open source support, so I don't know why people are bringing that issue up for this board.
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Originally posted by rene View Postvote with your wallet, and buy hardware with OPEN Source Linux drivers and preferably register level specification.
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Originally posted by pkese View PostThe problem with these specific Tegras is that A57 at 1.43 GHz only delivers about 50% performance of 1.5 GHz A72 found on RPi 4.
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Originally posted by jaxa View PostIt's tough to care about a cut down version of a 2019 product (it feels like it has been longer than March 2019). Jetson Xavier NX could have been a successor to the Nano but it was priced at $400. At $200, I'm sure some people would buy that instead of a Pi4 8GB.
If you don't need 4 GB of RAM for your IoT/ML/robotics project and have already been using the original Nano, it could be a good option. It's also a better option than Pi4 for console emulation due to the GPU, and 4 GB RAM isn't needed for that.
Why did they remove the fourth USB3 port?
I'd love a Jetson AGX to play with, but $700?! When currency exchange and import costs are factored in, that's more than an RTX 3080 (when they finally become generally available...) and I can do more, faster with even a fairly old desktop with an RTX 3080 jammed in it.
Originally posted by hax0r View PostM.2 slot please.
Originally posted by WolfpackN64 View PostSo it's more expensive then the Pi 4, has less memory at the same price point, has a weaker CPU and an old GPU architecture. Not much is known about the Pi 4's VideoCore VI, so I don't know if the old Maxwell really is more powerful.
The Jetson Nano is the only SBC I've used which can push Cinnamon without it turning into a juddering slideshow.
Originally posted by vegabook View PostPersonally have run up against out-of-memory errors when running some Tensorflow benchmarks on my 4GB Jetson Nano, so this is a regression. Much better would have been a 119 USD 8GB version.
Originally posted by wizard69 View PostIt is interesting that everybody compares the card to PI when there are so many similar boards. Odroid for examples has some very nice boards that would be competitive for some uses.
Originally posted by SyXbiT View PostCan we be done with the A57 yet? It's ancient.
Originally posted by ed31337 View Post2GB RAM? No thanks. Even at 4GB, my RPi4 really could use more RAM. I keep eyeballing the 8GB version whenever it goes in stock, but at $75 I keep hesitantly passing, hoping maybe they'll someday have a 16GB or some other big improvement to justify spending my money.
The old A57 CPU is a minus too. I was hoping being so old, it would not have speculative execution and all the security bugs that brings, but nope, A57 is on the vulnerable list. So no advantages, just slowness. Boo.
The A57 is actually not too bad in terms of speed, but something newer would be nice.
Originally posted by BaumKuchen View PostYeah... that price tag will go much higher once it arrives at your local store...
And... you wanna tinker with a board, mess around with stuff, learn... and you pick stinky nvidia? I am wondering how far will you get with that.
Originally posted by jaxa View Post2 GB is fine for retro gaming, LibreELEC, and some of the robotics/AI stuff it is ostensibly for.
I don't expect to see a Pi5 or Pi6 with more than 8 GB. What would be nice is an ARM board that is around ODROID-H2 size, with two DDR4 SO-DIMM slots so you could put in 8, 16, 32, or even 64 GB of RAM. If it's on the market, it's probably not cheap.
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Originally posted by Paradigm Shifter View PostI got as far as popping an 8GB RPi4 in my basket yesterday evening, then realised that I was basically going to drop $110 on something I didn't need and have little use for as it is functionally identical to something I already have (a 4GB RPi4).
I'm sure I've seen an ARM64 SBC with SODIMM slots, but my Google-fu is failing me at the minute. You are right, though; it certainly wasn't cheap. Thinking about it, it might have been a Kickstarter or similar that never hit the target.
I'm optimistic that the SODIMM situation will change, because SoC memory limits are rising right around now. The Broadcom BCM2711 in Raspberry Pi 4 can address up to 16 GB of RAM, way up from the 1 GB limit of the BCM2837, while competing SoCs like the Rockchip RK3399 can only do 4 GB. If something like the Rockchip RK3588 raises that to 16 or 32 GB, then there might be a reason to offer 1-2 SODIMM slots.
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Originally posted by Paradigm Shifter View PostI'm sure I've seen an ARM64 SBC with SODIMM slots
https://www.phoronix.com/scan.php?pa...-LX2K-Sep-Perf
https://www.phoronix.com/scan.php?pa...core-developer
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Originally posted by jaxa View Post
Staggering the launch was a problem, since many people got 4 GB models when they would have paid for an 8 GB. I'm thinking of getting an 8 GB and giving away my 4 GB.
I'm optimistic that the SODIMM situation will change, because SoC memory limits are rising right around now. The Broadcom BCM2711 in Raspberry Pi 4 can address up to 16 GB of RAM, way up from the 1 GB limit of the BCM2837, while competing SoCs like the Rockchip RK3399 can only do 4 GB. If something like the Rockchip RK3588 raises that to 16 or 32 GB, then there might be a reason to offer 1-2 SODIMM slots.
I'd like the Raspberry Pi Foundation to release more options for the compute modules, too. I know that the original idea for the RPi was something cheap 'n' cheerful to help teach about computers/programming/electronics, but its obvious that there is much more of a market out there.
Originally posted by andreano View PostI've seen 3:
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Originally posted by Paradigm Shifter View PostThe 2GB ones could be had from pretty much everywhere, but the 4GB ones were quite hard to find long after they became easy to get in the UK/US.Last edited by andreano; 08 October 2020, 05:42 PM.
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