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Nvidia's $99 Jetson Nano Is an AI Computer for DIY Enthusiasts
- FreedomToCreate 8y agoNow I just need something to DIY with it. Any ideas?
- make3 8y agoself driving small car, nerf turret that shoots anyone who is not you, following drone, cat stalking drone, cat stalking self driving "rc" car, auto bird identification camera in your backyard "this is a bird of type X" with voice or screen with instance detection/segmentation
- yayr 8y agowhat gear would one best use to make those gadgets self-recharging? one the non-charging idea side there would be the AI network traffic analyzer (just requires another 1G connector via USB)
- shiftpgdn 8y agoInduction charging pad + receiver.
- sbierwagen 8y ago>self driving small car https://www.amazon.com/dp/B07JMHRKQG https://www.amazon.com/dp/B07JMHRKQG Classic Amazon: they're charging $399 for it, when obviously it's a Starfighter-style test for their AI engineer hiring pipeline. It would hugely increase their own expected revenue to give it away to anyone with an AWS account, but they couldn't resist skimming a couple bucks off of each sucker.
- dmos62 8y agoVoice-controlled toilet, or toilet paper hanger, or toilet perfumerie; voice-controlled potted plant watering; voice-controlled head scratcher; voice-controlled backrub chair; voice-controlled pet feeder; I'm sorry, I'm just making fun of voice-control frivolities; voice-control voice-control-diy-ideas-generator.
- ortusdux 8y agoThe product link in the article leads to an ironic 404 message: "Even AI can't find this page!" https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/?nvid=nv-int-mn-78464 https://www.nvidia.com/en-us/autonomous-machines/embedded-sy...
- 01100011 8y agohttps://developer.nvidia.com/embedded/buy/jetson-nano-devkit https://developer.nvidia.com/embedded/buy/jetson-nano-devkit https://devblogs.nvidia.com/jetson-nano-ai-computing/ https://devblogs.nvidia.com/jetson-nano-ai-computing/
- yolobey 8y agoHope it'll ship with better support that the first Jetson. The one they marketed with all that AI/Machine Vision stuff and then shipped without a camera driver. This is just following Google's Edge TPU, which probably competes with a Raspberry Pi + Movidius stick. The market there is getting interesting.
- zamadatix 8y agoI ordered a Coral USB accelerated (Edge TPU on a USB) to tinker with for the novelty and it just arrived this afternoon. I will say one giant gap between these two is Google's Edge TPU based products only support TensorFlow Lite.
- dheera 8y agoThis. And all of the third party camera solutions for TX2 cost $500+ when equivalent USB cameras with the same sensor cost $50. They really need to get their act together and sell some NVIDIA-sanctioned camera solutions at scale, and at price points similar to Raspberry Pi cameras. A lot of third party carrier boards also have a complete sh_tshow of connectors. Auvidea's boards, for example, ship with a Raspberry Pi camera connector, but Raspberry Pi NoIR cameras don't have TX2 drivers, and there are hardly any other cameras that ship with that connector. Seriously, NVIDIA: Please sell a TX2 devkit that has six non-weird 2-lane CSI connectors and some IMX290 or AR0521 or any other commonly-used robotics sensors for $100 each that plug in and "just work". It would make a lot of people happy to have something to at least start with, and pave the way for third party options to follow the same form factor, connectors, pinouts, board sizes, and so forth.
- remyM 8y agoThey've actually fixed this hopefully this time around. According to their blog post it actually has driver support for the RPi CM2 8MP (IMX219) and they'll be releasing their own Nvidia-sanctioned cameras available from their partners. It should hopefully just work. No lowlight options at this time however, which means external CCTV is out of the question :(
- 8y ago
- 01100011 8y agoI wish these tiny SBCs came with SATA or m.2 so I could hook up an SSD. I know microSD is catching up, but it's not there yet.
- mastax 8y agoThis has an M.2 Key E connector which has PCIe ×2, USB 2.0, I2C, SDIO, UART and PCM. Hypothetically an M.2 PCIe drive could work with a Key M to Key E adapter, but I couldn't find one in a cursory search.
- bb88 8y agoUnfortunately it looks like you lose wireless connectivity then.
- TaylorAlexander 8y agoIf USB is available it may be acceptable to use USB for wifi.
- kllrnohj 8y agoCheck out the odroid hc1 or hc2. You still have to boot from the microSD card, but you could put most of the OS on the drive connected to the SATA port.
- digsy 8y agoOdroid H2 has 2 X SATA 3.0 - https://www.hardkernel.com/shop/odroid-h2/ https://www.hardkernel.com/shop/odroid-h2/ A number of others have mini PCIE that you can add a PCIE SATA board to - https://www.amazon.com/Port-Controller-AsMedia-ASM1061-Chipset/dp/B009WN7QTE https://www.amazon.com/Port-Controller-AsMedia-ASM1061-Chips...
- mbushey 8y agoI bought an Odriod once. It was DOA and at the insane shipping prices I just took it as a lesson learned to never buy Odroid again. I've gone through probably 20 Pi's and never had one DOA or even die for that matter.
- akhilcacharya 8y ago$99 seems like a pretty good deal, am I missing anything? 4 gigs of RAM and _reasonable_ eMMC + PCI expansion could allow it to be a cheap casual use workstation, right? How does it stack up with the RK3399 in the RockPro64? I'm assuming the GPU and software support is better?
- JudasGoat 8y agoFrom what I read you would have to purchase the $129 board for EMMC support. The $99 board was micro SD only.
- scottlamb 8y agoWhat $129 board? For the Jetson Nano, I see only the $99 module or and $99 dev board; neither mention eMMC. Do you mean the RockPro64? I see a $79.99 board that supports eMMC (but isn't in the same league for AI tasks as the Jetson Nano, I think?)
- mntmn 8y agoAnyone know about the binary blob / firmware situation on this one? Will it run mainline Linux?
- billconan 8y agoit runs nvidia's l4t, it is based on ubuntu 18.04 https://developer.nvidia.com/embedded/linux-tegra https://developer.nvidia.com/embedded/linux-tegra
- aninteger 8y agoIt's Nvidia, so you have to decide whether you want to give ANY money at all to a company that ships binary blobs or not (whether or not this individual product uses them). I'm sure there are product teams at Nvidia that ship "open" products but unfortunately there doesn't seem to be a way to support the good parts of a corporation while neglecting the parts that ship closed binary blobs.
- duado 8y agoWhich hardware companies ship zero binary blobs?
- xfs 8y agoMainline Linux will run but all the fancy stuff won't work. They ship 4.9 kernel which is two years old (though it's LTS). After all it's just a standard ARM board with a fancy GPU and peripherals.
- billconan 8y agoI hope to put it into a pi-top https://accounts.pi-top.com/products/pi-top/ https://accounts.pi-top.com/products/pi-top/ not sure if this fits
- dvhh 8y agoI kind of miss the nvidia transformer line of android tablet, I am still running a TF101 as a light client.
- morganvachon 8y agoI have a TF700T collecting dust on my workbench. It was a great machine for its time though! Probably the best looking display available on an Android tablet at its release, and amazing battery life.
- grendelt 8y agoIt won't work. This doesn't look like it's the same form factor as the Pi. (Inside the pi-top are mounting points that align with the pi's form factor mounting holes.) Also the pi-top's power switch and supply go through the Pi's GPIO pins so those would need to be a match as well.
- voycey 8y agoWe are using Rapids.Ai and unfortunately this requires Pascal as a minimum Architecture - unfortunate as we have been looking at a cheap method to create proof of concepts for code we would eventually push to the cloud (functionality rather than speed for example) - this would have been ideal!
- epynonymous 8y agothe pricepoint is good, relative to the jetson tx1/2 (299-749 usd) and xavier (1099 usd). some of my notes, there is a massive heatsink on this thing, probably for both the a57 cpu and maxwell gpu, this will make your case a bit larger than say the rpi. not sure how the a57 compares to rpi’s a53, i assume both are armv8, quad-core. the inputs seem identical to rpi 3 model b+, hdmi, ethernet, 4 usb (seems 2.0), mini usb, there’s also an additional usb looking port on top of hdmi. storage seems the same as rpi, except that it’s built in 16G mmc flash whereas rpi you need to separately plugin a microsd card. overall this has potential if you need to do more gpu intensive work, i like the form factor. https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/?nvid=nv-int-mn-78464&cjevent=9065593749df11e9837400450a180512 https://www.nvidia.com/en-us/autonomous-machines/embedded-sy...
- thisacctforreal 8y agoIt would be good to know what bus the Ethernet talks on; with the Pi it's shared over the USB bus and it hampers the performance considerably. For this reason I went with an Odroid for a small network storage system. Edit: it has PCIe so it shouldn't be a problem.
- im_down_w_otp 8y agoThe on-board Ethernet on the TX1 is USB3 integrated, IIRC. The system having PCIe is not necessarily a sign of how it gets used or what is using it, unfortunately.
- remyM 8y agoa) a57 is the "beefy" version of a53, it's significantly faster in raw performance so this should stomp an rpi - here's ARM's performance numbers at release: https://community.arm.com/cfs-file/__key/communityserver-blogs-components-weblogfiles/00-00-00-21-42/7725.2.jpg https://community.arm.com/cfs-file/__key/communityserver-blo... b) above the HDMI is displayport c) usb is 3.0 all around, great for NAS-style devices d) production module (for final product) uses 16gb emmc, whereas the devkit is microSD like rpi
- 8y ago
- tuxxy 8y agoNo dedicated memory for the GPU?
- newen 8y agoYeah, I couldn't find any information on it. TX2 has 8GB of GPU RAM. I don't even understand how it will work on anything reasonable without any GPU RAM..
- aseipp 8y agoTegra systems use a unified memory controller for both GPU and CPU RAM. This means the GPU can access essentially all system memory as video memory and there is no meaningful distinction between the two. This has always been the case -- similarly, the Xavier Jetson, and the TX2 do not have split GPU/CPU RAM either. They all have unified controllers, so the "8GB of GPU RAM" for the TX2 you mention is also "8GB of CPU RAM". This thing essentially looks like a chopped down version of the TX1, considering the specs are all pretty much identical. These have 4GB of memory. Most of the time you'll be running a stripped down headless Linux 4 Tegra on this device, so something like 80% of your memory can otherwise be dedicated entirely to your application (both GPU and non-GPU compute portions) anyway.
- frabbit 8y agoAre the drivers for the graphics, wifi, etc all FOSS? Or is it the usual disappointingly difficult to maintain Nvidia mess?
- ipsum2 8y agoCheaper than the $150 Google TPU Dev Board, and looks like it can do training as well as inference. Also, doesn't require you to send your model to their company. Nice!
- scruffyherder 8y agoQuad core arm, 4gb of ram and gigE! Seems like a really nice board
- tyingq 8y agoAlso has an M.2 slot for WiFi, as well as both HDMI and DP...supports two simultaneous displays out of the box.
- uncoder0 8y agoWhy would you use the M.2 for wifi and not a super fast disk in that slot? USB bus should be able to handle wifi just fine.
- deleted 8y ago[deleted]
- tyingq 8y agoBecause it's a M.2 E slot, which has no SATA. Maybe there are SSD drives now that can use PCI and fit in the smaller E slots? There didn't used to be. If so, great...
- syntaxing 8y agoI have a Jetson TX2, at the $99, I'm super tempted to buy one to see how it compares. That being said, I would definitely buy this if there is a way to make Plex server work with transcoding.
- zozos 8y agoThat's exactly what I want as well!
- arbie 8y agoWouldn't the Shield TV be a better fit in the same price range? It does Plex transcoding.
- kbumsik 8y agoYeah it's getting almost 4 years old but it still is the best Android TV box.
- syntaxing 8y agoI was tempted during the $100 sale late last year, but I was worried about it becoming obsolete (I know its crazy, since its been out for less than 5 years). I like the idea of having my own Linux server though. That way I can set up my own services as needed depending on my usage (I normally tack on a samba server on top of my plex server).
- platz 8y agowhy would you want to train on the device itself?
- stuartaxelowen 8y agoTo fine tune the model to the specific customer needs. For example, learning the parameters of they user's face.
- outlace 8y agoIn some applications you may want to run a continual learning algorithm so it will continually train on new data as well as make inferences.
- WanderPanda 8y agoI always wonder how one would guarantee stability / convergence when learning in the field. Sounds great, but how can this be pulled off in a reliable way? Just dragging down the learning rate does not suffice in my oppinion, as for effective training you should be at the boundary of stability and greedy updates from my experience
- kowdermeister 8y agoMy main computer is a laptop with a Intel UHD Graphics 620 card :) Having a small card like this to speed up training would be so cool.
- dvt 8y agoJust bought one. Been a while since I played with embedded systems (or ML for that matter) :) Anyone have any cool ideas for how to make this little toy useful?
- karmicthreat 8y agoSelf-driving RC cars?
- abakker 8y ago- Smart camera for a doorbell? Train it to detect a person or a package? - Smart camera to detect your posture, and message you when you slouch for more than 3 minutes? - buy tons and tons of sensors and just hook them all up to see if you can detect anything at all? VOC sensors, heat, light, noise, see if any of these things can diagnose comfort, sleep, health issues in your life?
- neop1x 8y agofor all of that you can use $30 raspberry pi... for some of that you can use $5 raspberry zero and get wifi on board
- piinbinary 8y ago> 472 gigaflops Whenever I hear a number of gigaflops or terraflops, I like to look up the history of super computers [0]. This $99 computer is faster (on paper) than the world's fastest supercomputer in 1996, or a bit over 20 years ago. That's pretty cool. [0] https://en.wikipedia.org/wiki/History_of_supercomputing#Massive_processing:_the_1990s https://en.wikipedia.org/wiki/History_of_supercomputing#Mass...
- tyingq 8y agoA Pentium 90 was probably fairly common in the mid 90s. Delivered a whopping 0.09 GFLOPS :)
- lostlogin 8y agoThe Power Mac G4 was was briefly a restricted export due to its power (late 90s). This, obviously, gave ultimate childhood bragging rights. https://www.google.co.nz/amp/s/www.wired.com/2002/01/thats-a-whole-lot-of-power-mac/amp https://www.google.co.nz/amp/s/www.wired.com/2002/01/thats-a...
- classichasclass 8y agoApple's ad on that was maximum snark. As tanks surround a graphite G4, the announcer deadpans, "Pentium PCs? Well ... they're harmless."
- kevin_thibedeau 8y agoThe 386 was also export controlled for a time.
- martinpw 8y agoNot quite. This is FP16, supercomputers are typically benchmarked using double precision flops, so FP64. So roll in a factor of ~4 there, or a couple of years.
- 8y ago
- watersb 8y agoFewer headphone jacks than the Creative Nomad. Lame.
- goda90 8y agoCould this be used for an offline voice assistant?
- TaylorAlexander 8y agoProbably. I've recently compiled Mozilla's Deepspeech for the Nvidia TX1 and it was a painful process. They don't have precompiled binaries for ARM64 + CUDA for Deepspeech, so you have to compile Bazel (v18!), Tensorflow from Mozilla's repo, V1.12, and then deepspeech. If I am remembering correctly, it ran pretty slowly on the TX1. I don't know how well it would run on this new device, or if a lighter weight model is available somewhere.
- walrus01 8y agoI wonder how the emmc flash holds up over many writes, and what form of wear leveling it uses compared to a consumer class m2 interface, sata3 SSD. One of the main problems with rpi is the microsd media, even "industrial" cards cannot tolerate anywhere near the writes that a $50 SSD can take.
- fulafel 8y agoIs there hope for Nouveau on these embedded chips?
- fulafel 8y agoTo answer my own question, there is active work on this chip family, eg https://www.phoronix.com/scan.php?page=news_item&px=Tegra-X2-Xavier-HDMI-Audio https://www.phoronix.com/scan.php?page=news_item&px=Tegra-X2... So there's hope that it might be usable for f/oss enthusiasts at some point.
- eismcc 8y agoPrime candidate to add to my http://parallac.org http://parallac.org collection!
- sigmaprimus 8y agoI like the barrel jack for power on the development kit version, I wonder what sort of power requirements it has as that seems to be an issue with the RPiS. On a side note that is a very impressive heatsink too!
- godelski 8y agoWhat problems are you facing on the pi? The USB power to me is a big win. I already have a ton of cables sitting around.
- dustindiamond 8y agoPi needs way more than 500ma, which a USB 2 port maxes out at, I think. I think a pi3 needs at least 2 or 3 amps.
- godelski 8y agoMost phone chargers now are 1.5-2A standard... My first pi (a B, not a B+, gen 1) it was pretty common for phone chargers to be 1A. I still remember over clocking it no problem. Just looking at the 3 chargers sitting next to me they are 3A (phone), 1A (tablet) and 1.6A (IDK, probably a phone). I've had all these for several years (you can probably guess the order). I think I'd be hard pressed to find one that was <1A in my house. 1A chargers are considered "slow" now. For reference, documentation says Pi3 B needs 700mA - 1A[0] depending on peripherals (they recommend 2.5A, but that's hogwash). To match my experience, I've run B+'s overclocked (and overvolted) with a camera (+250mA) no problem with a 1.5A charger. If I remove the camera they run fine with a 1A charger (so we have a kind of bound there for "typical" usage +/- error in charger). They boot loop with the camera and a 1A charger. So I'm a little confused by your statement. I've only ever run into a power problem once. And that was a few years ago when I was pushing the pi's CPU/GPU, adding a camera (doing object detection), and using an old USB charger. Swapped that out and problem solved. I'm not saying that your problem doesn't exist, I just don't really understand how you see it as a problem and what your statement has to do with it. You're also not quite right about power outputs[1], which let's be honest; do you think your phone charges at 500mA? Your numbers are for signal, not power (though I get the easy confusion). 500mA is like what you'd get from plugging it into the computer, not a charger. It isn't the cable that controls the power^, it is the supply. I for one rather like only needing one cable for everything. [0] https://www.raspberrypi.org/documentation/hardware/raspberrypi/power/README.md https://www.raspberrypi.org/documentation/hardware/raspberry... [1] https://en.wikipedia.org/wiki/USB#Power-related_specifications https://en.wikipedia.org/wiki/USB#Power-related_specificatio... ^ Well... wire gauges have limits and you can burn up the wire. But you're going to be pretty hard pressed to find a supply that accepts a USB and will also output enough power to burn the cable.
- supernova87a 8y agoI am continually amazed that we're able to buy better and cheaper processors that no one could have dreamed about at such power/cost 50 years ago. I estimate it would take me and you maybe 1 year to learn how to build / assemble most things you find in your house that cost $1000 in a store -- a couch, a rug, even a simple kitchen appliance (the dumb kind). But a CPU / computer? I could not invent that given 10,000 years, and yet you can buy one for $100. Amazing.
- adrianN 8y agoYou should read "From NAND to Tetris". You could totally build a CPU yourself after a year of study. Not something that can compete with a modern microprocessor of course, but then again you probably couldn't build a compressor for a fridge with the same quality as a factory either.
- doomjunky 8y agoLook at this lead pencil. There's not a single person in the world who could make this pencil. [0] [0]: Milton Friedman https://www.youtube.com/watch?v=R5Gppi-O3a8 https://www.youtube.com/watch?v=R5Gppi-O3a8
- adrianN 8y agoIf you wish to make apple pie from scratch, you must first create the universe - Carl Sagan
- samstave 8y agoI also love this showerthought from reddit: All the materials for wverything made has existed on earth for billions of years, they just werent assembled in the right order yet.
- sitkack 8y agoHumans are the right collection of molecules to form a self aware machine that can make showerthoughts. We are literally animate matter.
- aussieguy1234 8y agoHeres another potential use - Crypto mining
- mdorazio 8y agoNot really. It's 472 gigaflops for $100 and not particularly energy efficient. It's useless for bitcoin by a large margin and for Ethereum & co. you can get a used GTX 1070 with 6.5 teraflops of compute for about $250.
- deleted 8y ago[deleted]
- gigatexal 8y agoI’m going to get one as a dumb terminal for SSH and a random browser or two. It could make for a really compelling HTPc device too
- dmos62 8y agoI use a pretty old computer for prototyping ML models. Could I use something like this to develop with, saving on buying an expensive laptop or renting a VPS?
- pjmlp 8y agoActual link for the product. https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/ https://www.nvidia.com/en-us/autonomous-machines/embedded-sy...
- AhtiK 8y agoThis begs the question, what are the best price-quality ratio cameras compatible with this board? As I understand, both Jetson Nano and Google Edge TPU/Coral Dev Board would work with the same set of cameras, having the MIPI-CSI2 interface. Is it? Many ML inference applications are using a camera, yet it's close to impossible to find something very affordable.
- joshvm 8y agoDepends what you want. The cheapest decent machine vision cameras that I know of are Basler's dart range, but they're still $100-300. Entry level is the DA2500-14uc (5MP 14fps). You can also try places like Leopard Imaging or eCon systems. Even then, most of eCon's stuff is $150+ and their APIs feel a bit hacky. This is all USB3. Unless you really need a mipi solution (you may need an adaptor board to match the), USB is fine. Even a webcam might be good enough.
- levesque 8y agoYikes that is pricey. Camera costs more than the board, right.
- scottlamb 8y agoWhat qualities does a decent machine vision camera have, besides price? size? resolution? lens/sensor quality? infrared? frame rate? latency? ruggedness? I have a bunch of inexpensive IP security cameras. I imagine the latency (~second) would be prohibitive for machine vision camera applications, where you probably are making some control decision immediately? I'm curious how else they'd compare.
- JustFinishedBSG 8y ago99$ With 50$ shipping to France. What a great deal /s Or straight up 130€ (150$) from Nvidia France. Not quite 99$.
- nmstoker 8y agoPrecisely. I would love to see this succeed but it's not $99 even in the US - with Arrow, there's tax taking it up $120 and then the UK shipping cost is about the same as you found for France ($42-44 depending on option). Feels like this could have been better managed - especially with the 16 week delivery time! Unlike the Coral which was announced, ordered and in my hands within three days!
- bogle 8y agoSo, engadget is yet another website that hasn't read the GDPR guidelines properly. I cannot be bothered to click through all of their nonsense to read their clickbait content.
- nakedrobot2 8y agoThis Jetson Nano is a crippled TX1, nothing more. We have been building cameras with the TX1 and TX2 for 3 years now. We have seen things you people wouldn't believe ;-)) Now, can we cut through the hype a bit? Ready? Get your rant mask on. The Tegra (aka Jetson) chipsets are quite buggy at a silicon level. If you find a hardware bug, nVidia will not acknowledge it, or help you (unless you're Nintendo for example, buying millions of pieces, of course) The tx1, tx2, etc. are a nested maze of blackboxes, which you do not and will not have access to. For example, the camera ISP is accessible by THREE companies in the whole world. If you want to utilize the ISP, you have to go through them. Will those companies help you? Yes, for a very large fee. Why should they make the fee lower? They have almost no competition. OK, so you manage to get a sensor driver from one of those three companies. The sensor driver is, probably, also very buggy and poorly written. Maybe you can rewrite it yourself. The company who wrote the original one might help you anyway with ISP tuning (again for a fee). nVidia doesn't give a damn about hobbyists or smaller companies. They will willingly mislead you with specs that are outright false and throw your company under a bus without the slightest second thought. We have seen this repeatedly with nVidia - their corporate culture really tends toward arrogant douchebaggery, second perhaps only to GoPro. So, after all that, it seems that nVidia has produced too much TX1 silicon, so they've crippled it, and put it in a package that they're selling for $99. I'm not really excited about it :-)
- amelius 8y agoHow fast can it run the Inception model on a single image?
- carlmcqueen 8y agoAll this AI stuff is nice, but the important questions are what are the benchmarks of a retropie?
- helen___keller 8y agoIt's interesting how we can see in real time the commodification of ML hardware. From my understanding, prior to Tensorflow, most serious ML projects involved clusters of NVIDIA GPUs, and production ML software was tightly coupled to CUDA. Google shifted the software landscape by pushing a multi-target ML platform. Now, all of a sudden, NVIDIA is under intense pressure to keep up with new compute hardware looking to eat their lunch in the AI sector.
- intrasight 8y agoTruly amazing. I remember when my university purchased a CM2 for about $5 million. Was about 30 gflops. http://www.tamikothiel.com/cm/ http://www.tamikothiel.com/cm/
- Jemm 8y agoFor what are people going to use the Jetson Nano.
- swebs 8y agoRobotics/drones seems like the obvious market.
- swebs 8y agoFrom Nvidia's site: >NVIDIA Jetson Nano modules will be available from distributors worldwide starting June 2019.
- jki275 8y agothat's odd. The one I ordered said it was shipping at the end of march.
- mv4 8y agoI really really need to get one of these now. Is anyone at GTC right now?
- neop1x 8y agoSold out or pre-order with $50 shipping. But it's definitely a nice piece of HW! Can't wait what clever people make with it.