Another 64-bit ARM board out there: the Gigabyte MP30-AR0 <a href="http://b2b.gigabyte.com/products/product-page.aspx?pid=5422#ov" rel="nofollow">http://b2b.gigabyte.com/products/product-page.aspx?pid=5422#...</a> <a href="http://www.cnx-software.com/2015/03/27/gigabyte-mp30-ar0-is-an-arm-server-motherboard-powered-by-applied-micro-x-gene-1-soc/" rel="nofollow">http://www.cnx-software.com/2015/03/27/gigabyte-mp30-ar0-is-...</a> . Unfortunately this one has limited distribution and $ask pricing.
The price is quite a disappointment particularly when comparing to the Shield pricing (and how long NVidia has taken to present the kit - the X1 was introduced now almost a year ago / Shield on the market since early this year).<p>Let's see in the next days how performance of the board stacks up once the embargo on publishing test results is over.<p>Remember that the 1TFlops published is FP16 not FP32.
Very impressive, but it feels expensive to me. I'm cheap though.<p>The linked article was pretty light on the detail, and weirdly written. It never states how many cores the CPU has; I had to check Nvidia's page (<a href="http://www.nvidia.com/object/jetson-tx1-dev-kit.html" rel="nofollow">http://www.nvidia.com/object/jetson-tx1-dev-kit.html</a>) to find out: it's a quad-core so four cores.<p>Some pretty nice low-level embedded-style I/O on there too (GPIOs, I2C, I2S, SPI, TTL UART).
I hoped that it might be affordable like the TK1 dev board. But the card sized one is 300$/1k and the dev board 600$... 300$ for students.
<a href="http://www.anandtech.com/show/9779/nvidia-announces-jetson-tx1-tegra-x1-module-development-kit" rel="nofollow">http://www.anandtech.com/show/9779/nvidia-announces-jetson-t...</a>
This is exactly what I need for my deep learning research. Iv been abusing my raspberry pi 2 with heavy neuro nets. Shame about the prise though. I will wait for the price to drop(hopefully).
Dunno, depending on what you're doing the Shield TV costs less and does about the same. People are running Ubuntu on these today, and you get the video, XHCI USB, GigE ethernet and WiFi working fine. Of course having a more "normal" platform is nice, but does a UART really cost 300 dollars more? (The ShieldTV has no physical serial port, at least not one I found anywhere).<p>Also see <a href="https://github.com/andreiw/shieldTV_demo" rel="nofollow">https://github.com/andreiw/shieldTV_demo</a>
Wish there is an affordable ARM SOC board for building DIY Spark clusters, which has a 64bit CPU, 8 cores, gigabit ethernet, SATA, USB3, and 4GB memory (8GB memory would be even better), and under $100.<p>Spec-wise, Odroid xu4 [1] from Hardkernel is very close to meet this requirement, though still lacking in cpu and memory(only 32bit and 2GB memory for xu4).<p>[1] <a href="http://www.hardkernel.com/main/products/prdt_info.php" rel="nofollow">http://www.hardkernel.com/main/products/prdt_info.php</a>
I'm curious: How are you supposed to use their card-sized module outside of the developer kit? Is the 400-pin connector something that's standardized?<p>Also would you need to add your own cooling here? The developer board looks like it has a beefy fan-based cooler whereas I don't see one on the module.
I am looking for something that can replace RPi2/Edison in my humanoid robot for real-time computer vision. Is Jetson TX1 a good candidate? Is it a drop-in replacement with a similar power envelope as RPi2/Edison, i.e. can be powered by a small LiPo battery?
I am trying to come up with a target market for these boards at these prices.<p>The development board could $500 or could be $1500 that is understandable, the big question is where is the market for the actual devices with the $300 board inside.<p>Some sort of gaming kiosks or maybe some sort of industrial use?<p>Most embedded users do not need that sort of GPU performance.<p>The people doing GPU computing would be using desktop hardware