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NVIDIA Releases JTX1 ARM Board That Competes With Intel's Skylake i7-6700K (phoronix.com)
An anonymous reader writes: NVIDIA has unveiled the Jetson TX1 development board powered by their Tegra X1 SoC. The Jetson TX1 has a Maxwell GPU capable of 1 TFLOP/s, four 64-bit ARM A57 processors, 4GB of RAM, and 16GB of onboard storage. NVIDIA isn't yet allowing media to publish benchmarks, but the company's reported figures show the graphics and deep learning performance to be comparable to an Intel Core i7-6700K while scoring multiple times better on performance-per-Watt. This development board costs $599 (or $299 for the educational version) and consumes less than 10 Watts.
The "deep learning" benchmark is a GPGPU workload which does practically nothing on CPU.
Nvidia has just made a SoC Chip that has about equally fast iGPU than what Intel has, for a lower energy consumption.
But in CPU performance, the Skylake is MUCH faster.
I guess my question is, what could/would I do with one as a layman with a passing (but growing) interest? Would this be a pricey replacement for a RPi or maybe a controller hub type of thing for a collection of RPis? I do have a project in mind to finally make use of these things - I've even got a half dozen of the RPi still sitting in their boxes (except for one that I opened and poked at) but I'm not exactly sure where to begin. Well, I know where I will begin - I'm just not sure that I should begin there. It's a long story...
"So long and thanks for all the fish."
This is just a particular benchmark that happens to run entirely in the GPU.
Just because its low power does not means it have the same performance.
In performance per watt, Intel and ARM are mostly the same .
And I'd like to see actual benchmarks, not "We used CUDA based benchmarks that are designed to run well only on Nvidia GPUs!" As a benchmark, as last I looked Intel had the best performance per watt GPUs around.
The article is silly. Who would buy a i7-6700K purely for the GPU. If you want that kinda gpu power you can get a dedicated graphics card for much less.
Tegra X1 is an embedded chip. What NVIDIA claim it is designed to do is basically make a self-driving car out of it. For this purpose the GPGPU capability would actually be important and also Skylake would not meet as Intel likely don't offer them in industrial/automotive temperature ranges.
In reality the best thing it can do might be a digital signage or laggy infotainment system, but in that ground it should perform better than its competitors.
Freedom of speech? How can a company "allow" or "disallow" journalists to publish benchmarks? Do they have to sign an NDA?
what could/would I do with one as a layman with a passing (but growing) interest?
You could buy one and leave it in the box, then post vague questions on Slashdot that don't give any hint as to what your project actually is :p
For some parallel tasks it could be cost effective. A TFLOP of GPU with only 10 watts is nothing to sneer at. It might even be lower watt/flop then an FPGA, which tend to be power hogs. Of course, the 10 watt figure is for the card form factor SOC only, so the power and size is greater for the SOC plugged into the carrier board. And the cost needs to come down quite a bit for their likely market place. Either the price falls by a huge amount or it goes nowhere.
Even so, this could be interesting for some niche markets.
Why is Snark Required?
Until you see the $1495 pricetag!
And I'd like to see actual benchmarks, not "We used CUDA based benchmarks that are designed to run well only on Nvidia GPUs!" As a benchmark, as last I looked Intel had the best performance per watt GPUs around.
And I'd like to see actual benchmarks, not "We used CUDA based benchmarks that are designed to run well only on Nvidia GPUs!" As a benchmark, as last I looked Intel had the best performance per watt GPUs around.
Of course they use benchmarks that run well on CUDA. Some algorithms can't be parallelized effectively over hundreds of GPU cores. Other algorithms can take a hit due to the branching required. However, there are some real world applications that can be effectively parallelized on CUDA that really make sense.
Theres no point in comparing algorithms poorly suited for GPUs. NVidia might as well throw in the towel now for those applications. However theres a reason why OpenCV contains so many CUDA implementations of algorithms that have already been written for CPUs. I guarantee it's not because programmers get off on writing CUDA versions(although it's possible some do). It's because these CUDA versions actually provide speedups.
Given that the X1 can be used in embedded systems, you must understand the architecture and your algorithm to decide if the X1 is well suited for your application.
being equally fast as intels graphics is like crowing about beating a legless man in a foot race.
So it doesn't run a mainline Linux kernel? Or does someone know otherwise. I couldn't find anything on the nvidia web site. Nor do I see how to buy one at the educational price.
This thing is for when you're doing something that can benefit from GPGPU, and a R-Pi isn't providing enough CPU power. The obvious example is machine vision, and I'm pretty sure that's the prime example that nVidia actually gave when announcing the thing: robotics. It's got a tiny little power footprint, which is the advantage over something from intel.
"You're right," Fisheye says. "I should have set it on 'whip' or 'chop.'"
Think back to https://en.wikipedia.org/wiki/... like ideas. Can the math be spread over a lot of cores, new gpu's and then work out quick, better, sooner, with less heat?
If yes, great. If no, buy into a different CPU for the calculations.
Domestic spying is now "Benign Information Gathering"
being equally fast as intels graphics is like crowing about beating a legless man in a foot race.
The only ones you'll hear complaining about Intel's built-in graphics are the PC gamers and benchmarking sites. I'm actually quite happy downgrading from a Core i3-3227U to a Pentium N3700.
The new A9X in the new iPad leaves the X1 in the dust. The A9X scores 80 in Manhatten test, while X1 only scores 65
I'm assuming SteamOS and the games it supports would not run on this unless everything was compiled for ARM, yes/no?
The Jetson TK1 sold for $192.
I was really looking forward to a Tegra X1 version of the Jetson, but not at $599 and not at 6+ months after the chipset started appearing in consumer products at a significantly lower price.
(The Jetson TK1 was the first K1 device to launch and was priced similar to or below fully assembled consumer products like the SHIELD Tablet.)
retrorocket.o not found, launch anyway?
In a race to the feet, the legless man always wins. And runs Linux while running Crysis in a Wine while in a Beowulf cluster of itself.
My virtual 8-bit CPU in my Minecraft world has enough oomf...
Except for the "Speaking' and "Camera" parts
The dangers of excessive individualism are nothing compared to the oppressiveness of excessive collectivism
Who the hell cares? Seriously, it's a graphics card!
The dangers of excessive individualism are nothing compared to the oppressiveness of excessive collectivism
I think I might get one, then. Thanks. This would be an area where there some maths - I posted as an AC earlier. My VPN is still being screwy so I just logged out.
It'll give me an excuse to brush up on my C and learn about the whole RFID methods. I've been meaning to do both for a while now. If you're curious or inclined to opine the AC post is above. I identify myself.
"So long and thanks for all the fish."
That's what I'm thinking. I need something that can push and, maybe, compress video and sound. It's probably also going to have storage attached to record something like snapshots at 3 second intervals or the likes. I don't want to "make do" with something. I want to just make it, learn about it, and forget about it - until I need to repair or update and realize that I should have followed good documentation methods. Then, I'll learn it, fix it, and forget about it! Seems pretty good to me.
"So long and thanks for all the fish."
Hold on guys no benchmarks yet nvidia is still paying out kickbacks for good results lol.