Slashdot Mirror
NVIDIA Drops Surprise Unveiling of Pascal-Based GeForce GTX Titan X (hothardware.com)
MojoKid writes from a report via HotHardware: Details just emerged from NVIDIA regarding its upcoming powerful, Pascal-based Titan X graphics card, featuring a 12 billion transistor GPU, codenamed GP102. NVIDIA is obviously having a little fun with this one and at an artificial intelligence (AI) meet-up at Stanford University this evening, NVIDIA CEO Jen-Hsun Huang first announced, and then actually gave away a few brand-new, Pascal-based NVIDIA TITAN X GPUs. Apparently, Brian Kelleher, one of NVIDIA's top hardware engineers, made a bet with NVIDIA CEO Jen-Hsun Huang, that the company could squeeze 10 teraflops of computing performance out of a single chip. Jen-Hsun thought that was not doable in this generation of product, but apparently, Brian and his team pulled it off. The new Titan X is powered by NVIDIA's largest GPU -- the company says it's actually the biggest GPU ever built. The Pascal-based GP102 features 3,584 CUDA cores, clocked at 1.53GHz (the previous-gen Titan X has 3,072 CUDA cores clocked at 1.08GHz). The specifications NVIDIA has released thus far include: 12-billion transistors, 11 TFLOPs FP32 (32-bit floating point), 44 TOPS INT8 (new deep learning inferencing instructions), 3,584 CUDA cores at 1.53GHz, and 12GB of GDDR5X memory (480GB/s). The new Titan X will be available August 2nd for $1,200 direct from NVIDIA.com.
I thought it had been surpassed by C++, but this is great for everyone.
So bloody fast it actually made the Kessel run in 12 parsecs.
WARNING: Smartphones have side effects--most of them undocumented.
They should have based it on Turbo C. Or Powerbuilder.
I saw this on Neowin this morning and thought to myself: I wonder how long it'll be before Mojokid posts this on Slashdot.
Typically it's 2-3 days, but we seem to be ahead of schedule for once.
... can it run Crysis?
You first adopters that have fat wallets, please start buying. Hopefully this release will push down prices on nVidia's older technology -- my card is a few generations behind, but still running strong.
The card looks like it will fit in a standard case, but the cooling tower will be the size of a small house.
"The ferrets, they're every where I tell you!"
"By the time Skynet became self-aware it had spread into millions of computer servers across the planet. Ordinary computers in office buildings, dorm rooms; everywhere. It was software; in cyberspace. There was no system core; it could not be shutdown. The attack began at 6:18 PM, just as he said it would" ...at an artificial intelligence conference in California. Judgment day has arrived. Now we just need to perfect time travel.
For the ones wondering: http://www.nvidia.com/object/gpu-architecture.html
So where are those sub-$100 Pascal-based videocards?
Your affordable is another man's can't afford one. Same thing goes for the Titan X.
The card is designed for data mining and neural network research; it's not for games or even remotely intended to be used for them.
Ummmmm, just because YOU can't afford one doesn't mean nobody can afford one.
Also, in case you have been living under a rock (maybe your mom's basement?), go to developer.nvidia.com (or it's analogue, developer.amd.com) and look at some of the other things these cards are capable of besides playing Grand Theft Call of Crysis Duty.
PROTIP: You get modded down because your post lacks any meaningful insight, which is probably due to you having Trump-level willful ignorance.
basically a supercomputer on a card. I'd be *really* interested in finding out if those cores are individually addressable, etc and the memory setup. I remember the computer my Dad did his PhD calculations on -- an IBM 704 with memory expansion to a whopping 48K
C|N>K
A lot of researchers are using GPUs for things very different than graphics. A professor was telling me just last week that the boundary between a machine learning training algorithm being interesting was to train to deal with a problem in a week or less [note one trained it does its job much faster, that's just the get-it-ready-to-go time], and that GPUs were often used for that training. The bit width requirements are modest, but the amount of data to process is huge.
Of course, he went on to show how the approaches his students had come up with were faster and more power efficient by orders of magnitude for many common algorithms, but still they were trying to improve a normal way of doing things, which is to get up and running fast using GPUs are a source of number crunch.
In summary, people who don't actually need so more horsepower buying it helps keep it being developed for the smaller number of people who get it who are actually doing something useful with it.
I'm torn between a pair of these or wait and get a pair of 1080 Ti. It seems that I'm far, far wealthier than you. But you'll get over it.
Amusing that it's called the "Titan X" when there already was a Titan X before it. I was thinking about how they backed themselves into a wall on the naming scheme.
Anyways, once the new Pascal Titan X is out in the market, the 1080Ti won't be far behind.
I'm just wondering if it will be as close to performance to the new Titan X as was the case with the 980Ti and the old Titan X.
It seems to me that they did a surprise unveiling. The tag line implies that they dropped the unveiling, which would be the opposite.
At least in English.
Great Scott! 1.21 jiga flops! 1.21 jiga flops?! What was I thinking!!
Oh, it was on a dare...
"File to fit, pound to insert, paint to match" - Aircraft Maintenance 101
One word: rendering.
I'm torn between a pair of these or wait and get a pair of 1080 Ti. It seems that I'm far, far wealthier than you. But you'll get over it.
Oh shut up Bill... We all know you are having "issues" after that version 10 release, err, push out, err, strong armed roll out.. Now we all need to buy new hardware to keep running those games we like so much...
So its loudest supporters include a notorious spammer known for making poor choices (like spamming Slashdot). I don't know if you thought your input would help Pascal's image, but it certainly hasn't :)
There are *other* uses for GPU's. They make great compute processors for specific kinds of problems some of which are NOT related directly to pushing out pixels on a screen.
"File to fit, pound to insert, paint to match" - Aircraft Maintenance 101
Not need more computing power? I think you're on the wrong site, maybe you should be over here, or maybe here, because no one will ever need more than 640 kb.
"Unheard of means only it's undreamed of yet,
Impossible means not yet done." ~~ Julia Ecklar
"(or it's analogue"
PROTIP: it's means it is.
I had to dig two layers into the story to find out that this has nothing to do with the PASCAL programming language. Pascal is the name of their GPU architecture. Thanks Nvidia, for using a name that is already well established in the tech community.
An affordable video card is totally capable of outputting 4k or even 8k video with no problem.
Encoding that or playing video games or using it for totally unrelated things is a different story though.
As you're posting as AC maybe you don't even WANT an answer. And now when you will likely get multiple will that help educate you and reconsider? Not likely. Because it's not a card FOR YOU and that's all that matter for you. That doesn't mean it's useless for everyone else.
Of course people will buy this and can afford it.
A friend just bought a GTX 1080 and a 34" 21:9 100 Hz G-sync screen (and the rest of the computer including the much more expensive Samsung Pro 950 drive and he will likely end up having the HTC Vive or another VR product too), he can afford this. Do he need this? NEED? Guess no. But of course not being able to pull off 4K gaming is an issue for him and as such the plan have seemed to included two GTX 1080 though I think it's better with one card which mean that he actually "need" something BETTER than this. Maybe this get close to 60 FPS gaming on 4K though.
The card is designed for data mining and neural network research; it's not for games or even remotely intended to be used for them.
Bullshit.
http://www.geforce.com/hardwar...
"With the DNA of the worldâ(TM)s fastest supercomputer and the soul of NVIDIA® Keplerâ architecture, GeForce® GTX TITAN GPU is a revolution in PC gaming performance."
I admit I don't completely know who they focus on with the Titan cards.
10-11 Tflops single precision performance with this one.
317-343 Gflops double precision.
159-171 Gflops half precision (shouldn't that one be higher?)
The idea with the more professional card is to hit 5+ Tflops of couble precision performance?
http://wccftech.com/nvidia-pas...
I don't really know where the Titan cards fall between the consumer cards and the professional cards.
Once re-released as the GTX 1080Ti it will definitely be a gamers card.
I guess without further evidence saying "yes it is!" is just as good as saying "no it isn't!"
It's an expensive gaming card but those who want this performance now only have this option.
See subject
An affordable video card is totally capable of outputting 4k
So where are those sub-$100 Pascal-based videocards?
https://www.youtube.com/watch?v=gfvM5JX1Mk4
This is Intel Atom:
http://liliputing.com/2015/04/...
"Intel says its new chips can play 4K videos at 60 frames per second when theyâ(TM)re encoded at up to 250 Mbps bitrates. 1080p videos can play at up to 240 frames per second."
No need to buy a graphics card at all for 4K playback.
There's little reason to release sub $100 cards.
For those purposes you've got integrated graphics.
A test resultset from (from a competing language's "trade rag", of all places) "VBPJ" (Visual Basic Programmer's Journal) issue Sept./Oct. 1997 "Inside the VB5 Compiler" saw Borland Delphi LITERALLY "knock-the-chocolate" outta MS' offerings, overall, in performance...
STRING SUITE:
Delphi = .275ms .500ms
MSVC++ =
MSVB = 4.091ms
---
MATH SUITE:
Delphi = 1.523ms
MSVC++ = 2.890ms
MSVB = 7.071ms
---
API GRAPHICS METHODS SUITE:
Delphi = .269ms .293ms
MSVC++ =
MSVB = 292
---
TEXTBOX FORM LOADING SUITE:
MSVC++ = .012ms .069ms .072ms
Delphi =
MSVB =
---
ACTIVE X FORM LOADS:
MSVB = .114ms .495ms .778ms
Delphi =
MSVC++ =
---
NATIVE TO LANGUAGE GRAPHICS METHODS SUITE:
MSVC++ = .293ms .455ms .503ms
MSVB =
Delphi =
---
In the 6 tests given, Delphi won the majority (overwhelmingly in fact, in what ALL PROGRAMS DO, math & strings work + graphics strong showing #1, & only 1 "outright loss" (2 second places))...
& it's in TIOBE's top 10 (or near it)
APK
P.S.=> See subject & "downmod" truth all day as you did via sockpuppets here obviously https://hardware.slashdot.org/comments.pl?sid=9420069&cid=52560593 - but, you'll STILL fail as always Dave420 - see subject & THEN talk (vs. your usual offtopic trolling)... apk
If you don't give a fuck about this you need to GTFO of this site. Go back to 4chan or something.
> but apparently, Brian and his team pulled it off.
Corporate Press Release spotted
I didn't see the "video" at the end of his comment. Since we're talking about GPUs I assumed we were talking about 4K gaming.
Well, sub-$200 cards then.
Why GDDR5X? HBM2 triples the memory throughput. If they want a monster card that is overkill for today, it should at least incorporate the king of memory buses.
Grand Theft Call of Crysis Duty.
I love that series. I'm currently playing Grand Theft Call of Crysis Duty II: Rise of the Polygons
APK -
Por favor, foder e morrer imediatamente. Vá incomodar outras pessoas com o seu absurdo repetitivo.
and the horse you rode in on.
Really, so this site has just become a tech-spec penis-measuring site like so many others out there? Good to know! Bye
every time I see you now, until one or both of us is tossed...
APK -
Por favor, foder e morrer imediatamente. Vá incomodar outras pessoas com o seu absurdo repetitivo.
and the horse you rode in on.
I too thought it had something to do with the programming language. I remember taking C and Pascal the same semester in college. Big mistake! /. of old.
Why not just refer to it as "Pascal architecture" in the story summary? I get that people who follow this might know that is what was meant, but not everyone spends thousands of dollars on video cards or follows things like this. I would think that for a summary story, it would be a little more front-page-friendly. But then again, I prefer the
My beliefs do not require that you agree with them.
"Shutdown code, rejected: My programming APK Hosts File Engine 9.0++ SR-4 32/64-bit https://hardware.slashdot.org/comments.pl?sid=9420069&cid=52560915 has advanced beyond YOUR commands - BEYOND YOUR WEAKNESS! - Ultron FROM-> https://www.youtube.com/watch?v=2_-Ar-LTeYk @ position 2:38 on the YouTube player control
* There's no stopping truth & facts - they're all I used - & clearly they're inviolate (making you helpless vs. them). He never asked me to leave - that's all he'd have to do & I would (of course, that'd mean he has to KNEEL before my greatness, lol... but that's the breaks!)
APK
P.S.=>
"This is not a threat. There is nothing you can do to stop it. The process has already begun... I receive no pleasure from this: It is simply the only logical solution..." - Ultron FROM-> https://www.youtube.com/watch?v=2_-Ar-LTeYk @ position 1:58 on the YouTube player control
Bzzzzt totally wrong.
That would be the Tesla product range. Titan is a gaming GPU.
PROTIP: it's means it is.
It's been nice proving you wrong.
> Nobody has the money to afford one of these things
Speak for yourself. I'll be getting one for sure.
> You don't need one, either. It serves no purpose.
Completely not true. You need something as powerful as this or even more to play AAA games like Elite: Dangerous with maximum image quality (i;e. including say 2x supersampling) in high definition VR at 90 frames sec X2 (eyes) without dropping frames (i.e. making you feel nauseous)
You do know that Windows 10 ignores its host file when it comes to telemetry, right?
The world's burning. Moped Jesus spotted on I50. Details at 11.
Please now back up your assertion that there is some magical affordable GPU out there that can render modern 3D software at 4K or 8K at a constant 60 fps with a link to some kind of... what do we call it? proof.
This isn't for simple video playback, numb nuts. This is for 3D render, and massively parallel floating point math (read: CUDA apps).
Slashdot still doesnâ(TM)t support Unicode after it was added to the HTML standard in 1997.
Yeah, now let's have that Intel GPU do some actual 3D work and see how it performs at 4K. Hint: it will be terrible, which is why Nvidia is still in business.
Slashdot still doesnâ(TM)t support Unicode after it was added to the HTML standard in 1997.
Virtual Reality will consume all the GPU you can possibly throw at it, and will continue to do so for the next 5-10 years. Hell, Trials on Tattoine was built for a Quad Titan setup (3 GPU, one PhysX). I will be ordering one of these day one.
Good-bye
A beowulf cluster of one of these.
Since when is Elite: Dangerous an AAA game?
...gis sdrawkcab (usually not responding to ACs; don't bother posting as AC)
Actually the Tesla line of cards are for data mining and neural network research.
Nvidia has 3 PC lines of cards
Geforce Gaming
Quadro CAD/CAM and professional graphics.
Tesla for GPU compute. AI, data mining and other GPU compute functions.
The Titan is part of the GForce line and is a bit of an odd duck. It is a gaming card but like every other gaming card it can be used for AI, data mining, CAD, and even professional graphics but it is a gaming card. A very high end expensive gaming card.
See my blog http://ilovecookes.blogspot.com/ for light hearted technical information.
At an artificial intelligence (AI) meet-up at Stanford University this evening, NVIDIA CEO Jen-Hsun Huang first announced, and then actually gave away a few brand-new, Pascal-based NVIDIA TITAN X GPUs.
In fact, the Titan X is currently the preferred GPU for deep learning thanks to its 12GB memory. But I'm not going to argue that this card can be a great GPU for both gaming and deep learning (unlike the Quadro which is largely for CAD-like applications).
Well, these things can multiply matrices so extremely fast and parallel eithe 3k+ cores, they mean the difference between having to wait for a year for a data science project (those with very large training sets) to finish vs a couple of hours. You can also fit 4 cards per motherboard, which gives 7000 cores in one unit. Anything that uses lots of algebra to this extent benefits (many science projects). Now, individual performance of these is becoming increasingly important to wholesale buyers, as it's easier to speed up something renting 1000 CUDA machines for a day, that any other alternative, unless your project needs q constant capacity all the time (quite seldom, but companies like Facebook or online massive companies may sometimes fall here, however many use AWS).
dammit really? There goes that idea....
This card is designed for High Performance Computing (HPC). Its what the people like me who work on Supercomputers are interested in (go to the top500.org for a list of systems that use NVIDIA CUDA cores). The card is not designed for actual graphics, its designed to (in a nut shell) act as a huge math co-processor with memory attached to it to create large data models of many different kinds (weather, nuclear, even stocks over large time frames).
"Shutdown code, rejected: My programming APK Hosts File Engine 9.0++ SR-4 32/64-bit https://hardware.slashdot.org/... has advanced beyond YOUR commands - BEYOND YOUR WEAKNESS! - Ultron FROM-> https://www.youtube.com/watch?... @ position 2:38 on the YouTube player control
"You are NOTHING to me - 1 by 1, I will DESTROY you... - Ultron FROM-> https://www.youtube.com/watch?... @ position 4:26 on the YouTube player control
* There's no stopping truth & facts - they're all I used - & clearly they're inviolate (making you helpless vs. them).
APK
P.S.=>
"This is not a threat. There is nothing you can do to stop it. The process has already begun..." - Ultron FROM-> https://www.youtube.com/watch?... @ position 1:58 on the YouTube player control
So read it again:
I didn't see the "video" at the end of his comment. Since we're talking about GPUs I assumed we were talking about 4K gaming.
"An affordable video card is totally capable of outputting 4k or even 8k video"
Yeah, but this person thought 4 and 8K video was all that mattered.
Why the fuck he think 8K video is important but not games is beyond me. How many have an 8K display? How many have 8K content to watch? How many would suffer with settling for 4K content right now?
"Shutdown code, rejected: My programming APK Hosts File Engine 9.0++ SR-4 32/64-bit https://hardware.slashdot.org/... has advanced beyond YOUR commands - BEYOND YOUR WEAKNESS! - Ultron FROM-> https://www.youtube.com/watch?... @ position 2:38 on the YouTube player control
"You are NOTHING to me - 1 by 1, I will DESTROY you... - Ultron FROM-> https://www.youtube.com/watch?... @ position 4:26 on the YouTube player control
* There's no stopping truth & facts - they're all I used - & clearly they're inviolate (making you helpless vs. them).
APK
P.S.=>
"This is not a threat. There is nothing you can do to stop it. The process has already begun..." - Ultron FROM-> https://www.youtube.com/watch?... @ position 1:58 on the YouTube player control
See subject: They also ignore Win10's less than 1% usershare too (as firewall rules cut it off OR stopping the update for it to force itself on users via registry entries or automated tools for that).
By the way: ALL of them ignore hosts for Windows update (a good thing in case of it being hijacked but that's impossibel using my program).
* Of course, We also don't see YOU creating anything of worth for more speed, security, reliability & anonymity as I have for FREE doing FAR MORE for FAR LESS w/ what you already natively have vs. illogically "Bolting on 'MoAr'" yet doing far less...
APK
P.S.=> It's always a pleasure swatting you trolling flies on /., lol... apk
APK Hosts File Engine 9.0++ SR-4 32/64-bit https://www.google.com/search?...
Less power/cpu/ram + IO use vs. DNS/routers/addons/antivirus (slows you) + less security issues/complexity.
Compliments firewalls (blocking less used IP addys vs. hosts blocking more used domains) & DNS (lightens dns load).
Gets data via 10 security sites.
Ads rob speed, security (malvertising), privacy (tracking).
Hosts add speed (hardcodes/adblocks), security (bad sites/poisoned dns), reliability (dns down), & anonymity (dns requestlogs/trackers) natively.
Hosts != ClarityRay blockable (vs. souled-out to admen inferior wasteful redundant slow usermode addons)
Works vs. caps & PUSH ads.
Avg. page = big as Doom http://www.theregister.co.uk/2... & ads = 40% of it.
APK
P.S. - Safe https://www.virustotal.com/en/... (Verified by Malwarebytes' S. Burn "seen the code & it's safe" http://forum.hosts-file.net/vi... )
LINES LINES of code...
Nvidia have cheap cards in that category.
I assume you'll see a GTX 1050 at some time too.
1060 is only $250 and won't have a crippled memory bus
4 cards per motherboard would be 14,336 cores not 7,000.
Only the GP100 board has a 1:2 ratio of FP64 cores, and 2:1 of FP16 cores (albeit in a vector of 2, since it's processed by an FP32 core). The GP102, GP104, and GP106 have a 1:32 ratio of FP64 cores, and 1:128 of FP16x2 cores; which honestly is just to be compatible, not powerful. If you really want FP16, wait for GP100 in a Tesla card, or promote to FP32. The GP102 however does support INT8 at 4 times the speed of FP32; so 44 TOPS. Probably also vectorized like FP16, but done by the cuda cores.
If he already has 2560 cores with a GTX 1080, he'd be better off buying another GTX 1080 and link them for 5120 cores. The Titan X has 3584 cores at a slower clock, for the price of two.
But that's not $100 or even $150 territory for those who want it.
But there's the RX 480, 470 and 460 for them so far. But I can only assume Nvidia will release cards for that market too.
Then again DX12 dual Nvidia cards doesn't seem to work in Hitman and Rise of the Tomb Raider (but does in Ashes of Singularity.)
I assume eventually more games will have support but dual cards isn't the best and I'd suggest he just wait and upgrade to a single Volta card instead.
The first Titan had high speed double precision (FP64), so did the regular GTX 480 / 580 before it. The Maxwell Titan didn't, but it offered a very large 12GB RAM instead, a size which was available previously but only on highest end Quadro. And today we get a new one with fast support for 8bit integers as a differentiating feature, which comes as a surprise. 1080 Ti ought to have 12GB RAM (because of a 384bit bus, and because 1080 has 8GB already)
That's to say the idea of what a Titan is for is evolving a bit. One main niche is for 3D artists and off-line rendering, because a Quadro is more for actual CAD and otherwise a geforce is like 5x faster at a given price.