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NVIDIA Announces Jetson TX1 Module to Bring Deep Learning to Robots and Drones

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the product has two prices points, same sku, one for educational institutions and another for "people"/individuals, as i've put it...[ ]...with a $300 premium on one of those (2 fold!)
What is unusual about that? A lot of hardware and software has discounted pricing for educational users ( and bulk discounts for non-profit org's IIRC).
so just answer me one thing, what did my first post, or any of the other ones, have to do with that when i am/was only referring to the price when sold to individuals?
The whole premise of your argument seems to revolve around Nvidia charging too much for too little in relation to its competition. Correct? And because of this, the product is instant fail?
The same of the former can be levelled at pretty much all of Nvidia's product stack. Quadro costs a premium, Tesla costs a premium, GeForce costs a premium etc etc... Yet, even with those prime examples of premium priced hardware backed by a CUDA software stack, the company still sells to OEMs, ODMs, and individuals - and moreover dominates the market in spite of the pricing and hardware features. Given that the company has leveraged their software to provide a deep learning ecosystem, why should it fare any worse than these other product lines? (This is the question I would like answered)

The only product line that effectively failed was the one where they developed with no market to sell to and no immediate customers (Tegra as consumer phone/tablet) - that is clearly not the case here.
The moderation staff's.
No, they rule on content and its relationship regarding forum rules of conduct. They do not (or should not) have a bearing on directing an opinion on another's on-topic posting.
 
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nVidia made good use of their powerful GPUs and the CUDA programming language. nVidia is securing Tegra's future .

If the US economy goes down in a flame of epic fails, in the next 10 years, due to a certain party, do you think anyone really has a "secured" future?" In context, you're right in a sense, it's a nice niche, but it's only going to be marketed to the engineers at MIT or Cal Tech. At best, you'll find it on Neweegg at full price for enthusiast and "out of work" engineers/programmers. Hey, maybe terrorist might be interested in it too. Oh crap, NSA is watching... It would have been in NVidia's interest to push something like a program where High School kids interested in math and science, could utilize it to better understand possibly some basic electronics and robotics. Dumb down the complexity and market it to a bigger base. Possibly get federal funding to pay for it in some manner. It's not like understanding C++, Vscript and Java is super difficult and requires differential mathematics (writing and understanding codes isn't difficult).


Anyone know how to get the educational pricing? I still have a working .edu email :)

You'd probably have to wait another 3 years from your local, Barns and Noble-owned University Bookstore to purchase one unit at Educational Rates. By then, NVidia will announce a Volta variant with HBM and lower consumption rates.

@TruthTeller,

+ 10 points for speaking your piece and defending yourself. I give you props. Furthermore, I'm neutral on the topic.

@HumanSmoke,

- 10 points for attacking ppl for their views and posting it on TPU... I was going to make a comment like "NVidia sucks." See how long it would take for you to attack me or feed some articulate line that AMD fanboys are divorced from reality.
 
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Truth teller you don't have the right to trash others opinions because you don't like it. And talking badly about MIT is not against them it's against you because even in my country in middle east going to MIT is dream for everyone study engineering.
about the price. 599 is for developers kit and includes everything you need to program the kit for the first time and then if you need to use it in as part of product you buy it for 299 . And that price is not much for this hardware.
about the deep learning. Deep learning for machines is like cheating because it use what it has learned to reduce processing time. That is why the Tegra X1 can normally do 1 Tera flops and same hardware can do 2 Tera flops after some deep learning and maybe after sometime it will be ridiculously fast and that is like experience for human.
 
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599 is for developers kit and includes everything you need to program the kit for the first time and then if you need to use it in as part of product you buy it for 299 . And that price is not much for this hardware.
Therein lies the contention I think. Comparing this to something cheaper like Raspberry Pi 2 or something similar (ODROID for example) is an apples to oranges comparison. They are aimed at different usage scenarios. I doubt very much that the average joe is going to buy a Jetson kit so they they can turn their Camry into a self-driving car, and $300 or $600 is overkill for a most of the DIY projects RPi 2 and the like excel at. It seems aimed more as a commercial/industrial toolkit for integrating into a larger product line. No doubt the users will leverage a common architecture by uploading data to AWS or Azure or another Nvidia GRID-based system for the heavy lifting - I daresay the hardware in this case plays second fiddle to cuDNN library.
 

Tatty_Two

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No, they rule on content and its relationship regarding forum rules of conduct. They do not (or should not) have a bearing on directing an opinion on another's on-topic posting.

And you would be correct, however if someone's opinion includes insults and the like then that's different, once an insult is made it actually stops being opinion and just become plain old insult, I don't know if you have noticed but there are actually very few differences of opinion that don't at some point descend to insults, unless of course the members involved remain incredibly mature and controlled, in my humble experience there are not that many that can manage that.
 
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where and how did i do that? might i remind you, all, my 1st post (apparently the triggering one) is #2 in this thread? sweet jesus, talk about incoherence...
OK first I'll answer you #2 comment. Have you ever bought a screwdriver fo 40$ have you ever bought a two generation old pc with 1024x768 for more than 2000$? If you did then will understand. If not then I can tell you, this is what the word industrial stand for. It's expensive, look ugly and you can't find it in the hardware shop next to you but at the same time it's tough, reliable, and come with huge amounts of warranty and technical support.
for this board the TX1 you can pay 299$ for the board if you buy it in big quantities and that is not bad if you consider the hardware.
Do you know that there are more than 500 college in the world teaching CUDA and many of them got the hardware and software for free. It's not a charity it's type of smart business move from nVidia to bring thousands of computer programmers every year who believe that CUDA is Fortran replacement.
nVidia is following the old school textbook literally. They offer the hardware, the software, technical support and the people who have the knowledge to operate. Now they can charge premium for all that. IBM did that, Microsoft, Oracle, Google, SAP and many more. That is the old school with due respect to all of them.
 
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