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~~You only get 4 usable at any given time. Either the big core runs (A57) or the LITTLE core (A53) runs.~~ Sounds like I'm mistaken.
Is this specific to Nvidia chips? Because that's not how it works on big.LITTLE SoCs from other manufacturers. In those you can use all cores at the same time if you want to.
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Got any references?
Just look at the various reviews of the Nexus 9 (for example http://www.anandtech.com/show/8701/the-google-nexus-9-review... ) and compare it to the Shield Tablet which has A15s, not even A57s. If Denver's JIT happens to do well the device flies, but if you're not a benchmark or the benchmark is too large to be easily JIT'ed, then the performance falls off a cliff.
Then there's the mix of clockspeeds and process tech.
Note that even on those it wins a lot of benchmarks. So I see little evidence Denver sucked.
Another 64-bit ARM board out there: the Gigabyte MP30-AR0 http://b2b.gigabyte.com/products/product-page.aspx?pid=5422#... http://www.cnx-software.com/2015/03/27/gigabyte-mp30-ar0-is-... . Unfortunately this one has limited distribution and $ask pricing.
[2] https://www.96boards.org/products/ce/dragonboard410c/
[3] https://developer.qualcomm.com/hardware/dragonboard-410c
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 $100. Spec-wise, Odroid xu4 [1] from Hardkernel is very close to meet this requirement, though still lacking in cpu and memory(only 32bit and 2GB memory for xu4). [1] http://www.hardkernel.com/main/products/prdt_info.php
What would be the usage? Spark for?
Though I would envision there might be a niche market for affordable Spark clusters as appliances, say, one 1U box that contains 20 boards with total 160cores, 160GB memory, etc and only 200watts power consumption.
I am looking for something that can replace RPi2/Edison in my humanoid robot for real-time computer vision. Is Jetson TX1 a good candidate? Is it a drop-in replacement with a similar power envelope as RPi2/Edison, i.e. can be powered by a small LiPo battery?
It's more power hungry than RPi2. Don't know much about Edison.
Anecdotally, the RPi2 has been measured[2] around 4-6 watts under load and the Edison was measured[3] around 1 watt.
[1] http://devblogs.nvidia.com/parallelforall/nvidia-jetson-tx1-...
[2] https://github.com/geerlingguy/raspberry-pi-dramble/wiki/Pow...
[3] https://www.openice.info/2015/07/24/three-days-with-intel-ed...
I hoped that it might be affordable like the TK1 dev board. But the card sized one is 300$/1k and the dev board 600$... 300$ for students. http://www.anandtech.com/show/9779/nvidia-announces-jetson-t...
I'm sure you'll see a market in 3rd-party carrier boards & packages with the X1 module on it. Love the fact that it's got a proper x4 PCIe slot on the dev kit. Hopefully someone will sell the modules with a MOQ of less than 1k though!!
[1] https://learn.sparkfun.com/tutorials/general-guide-to-sparkf...
Very impressive, but it feels expensive to me. I'm cheap though. 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 ( http://www.nvidia.com/object/jetson-tx1-dev-kit.html ) to find out: it's a quad-core so four cores. Some pretty nice low-level embedded-style I/O on there too (GPIOs, I2C, I2S, SPI, TTL UART).
As such, I don't understand the embargo on performance measurements - barring any major surprises, I think Tegra X1's performance is pretty much known at this point.
The X1 has actually got 4xA53 and 4xA57 cores in a big.LITTLE style arrangement.
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). Let's see in the next days how performance of the board stacks up once the embargo on publishing test results is over. Remember that the 1TFlops published is FP16 not FP32.
Unfortunately they're pretty much the only game in town for this kind of hardware. There's a few alternatives (Parallella, FPGAs, etc) but nothing with the kind of ecosystem that CUDA provides.
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That really frustrates me. I'm running a Dreamplug [1] as one of the main boxes on my network. The second USB port has died and it's really starting to show its age. The Gigabyte board would give me enough SATA ports and grunt to run a decent NAS - I think it'd give the C2750 from Intel a run for its money, power wise. Your linked article has a comment suggesting the Gigabyte board retails for 987 Euros. Jeebus. [1]:…
The dreamplug is probably closer to the pogoplug in feature set (and definitely cost!). http://www.amazon.com/gp/product/B005GM1Q1O/?&tag=bcgpfeed-2... It's dirt cheap ($10-20), easy to load linux on [1], and it can be a simple file server, it can run minidlna, google cloud print [2], all kinds of stuff. 800MHz is not a screamer, but most simple I/O tasks like A/V streaming and printing are a walk in the park. [1] ht…