NVIDIA's Fermi: Architected for Tesla, 3 Billion Transistors in 2010
by Anand Lal Shimpi on September 30, 2009 12:00 AM EST- Posted in
- GPUs
A Different Sort of Launch
Fermi will support DirectX 11 and NVIDIA believes it'll be faster than the Radeon HD 5870 in 3D games. With 3 billion transistors, it had better be. But that's the extent of what NVIDIA is willing to talk about with regards to Fermi as a gaming GPU. Sorry folks, today's launch is targeted entirely at Tesla.
A GeForce GTX 280 with 4GB of memory is the foundation for the Tesla C1060 cards
Tesla is NVIDIA's High Performance Computing (HPC) business. NVIDIA takes its consumer GPUs, equips them with a ton of memory, and sells them in personal or datacenter supercomputers called Tesla supercomputers or computing clusters. If you have an application that can run well on a GPU, the upside is tremendous.
Four of those C1060 cards in a 1U chassis make the Tesla S1070. PCIe connects the S1070 to the host server.
NVIDIA loves to cite examples of where algorithms ported to GPUs work so much better than CPUs. One such example is a seismic processing application that HESS found ran very well on NVIDIA GPUs. It migrated a cluster of 2000 servers to 32 Tesla S1070s, bringing total costs down from $8M to $400K, and total power from 1200kW down to 45kW.
| HESS Seismic Processing Example | Tesla | CPU |
| Performance | 1 | 1 |
| # of Machines | 32 Tesla S1070s | 2000 x86 servers |
| Total Cost | ~$400K | ~$8M |
| Total Power | 45kW | 1200kW |
Obviously this doesn't include the servers needed to drive the Teslas, but presumably that's not a significant cost. Either way the potential is there, it's just a matter of how many similar applications exist in the world.
According to NVIDIA, there are many more cases like this in the market. The table below shows what NVIDIA believes is the total available market in the next 18 months for these various HPC segments:
| Processor | Seismic | Supercomputing | Universities | Defence | Finance |
| GPU TAM | $300M | $200M | $150M | $250M | $230M |
These figures were calculated by looking at the algorithms used in each segment, the number of Hess-like Tesla installations that can be done, and the current budget for non-GPU based computing in those markets. If NVIDIA met its goals here, the Tesla business could be bigger than the GeForce one. There's just one problem:
As you'll soon see, many of the architectural features of Fermi are targeted specifically for Tesla markets. The same could be said about GT200, albeit to a lesser degree. Yet Tesla accounted for less than 1.3% of NVIDIA's total revenue last quarter.
Given these numbers it looks like NVIDIA is building GPUs for a world that doesn't exist. NVIDIA doesn't agree.
The Evolution of GPU Computing
When matched with the right algorithms and programming efforts, GPU computing can provide some real speedups. Much of Fermi's architecture is designed to improve performance in these HPC and other GPU compute applications.
Ever since G80, NVIDIA has been on this path to bring GPU computing to reality. I rarely get the opportunity to get a non-marketing answer out of NVIDIA, but in talking to Jonah Alben (VP of GPU Engineering) I had an unusually frank discussion.
From the outside, G80 looks to be a GPU architected for compute. Internally, NVIDIA viewed it as an opportunistic way to enable more general purpose computing on its GPUs. The transition to a unified shader architecture gave NVIDIA the chance to, relatively easily, turn G80 into more than just a GPU. NVIDIA viewed GPU computing as a future strength for the company, so G80 led a dual life. Awesome graphics chip by day, the foundation for CUDA by night.
Remember that G80 was hashed out back in 2002 - 2003. NVIDIA had some ideas of where it wanted to take GPU computing, but it wasn't until G80 hit that customers started providing feedback that ultimately shaped the way GT200 and Fermi turned out.
One key example was support for double precision floating point. The feature wasn't added until GT200 and even then, it was only added based on computing customer feedback from G80. Fermi kicks double precision performance up another notch as it now executes FP64 ops at half of its FP32 rate (more on this later).
While G80 and GT200 were still primarily graphics chips, NVIDIA views Fermi as a processor that makes compute just as serious as graphics. NVIDIA believes it's on a different course, at least for the short term, than AMD. And you'll see this in many of the architectural features of Fermi.
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rennya - Thursday, October 1, 2009 - link
Here in SE Asia, 5870 GPU is available in abundance in retail channels. If you PayPal me USD450, I can go straight to any of the computer shops I passed when I go to work, so that I can buy the card (and a casing that will fit the full length card), then I can take pictures and show it to you.Stop it with the claims that the 5870 launch is just a paper launch. That patently isn't true, and will only make you look stupid.
SiliconDoc - Thursday, October 1, 2009 - link
I'm sure your email box is overflowing with requests, and I'm sure your walk to work will serve all the customers around the world.Thanks for that great bit of information for those walking to work with you in SE asia, I bet they're really happy.
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Maybe you should get a Reseller ID, and make that millionaire dream of yours come true, and soon when rooster central flaps it up again, you can prove to the world dry as a bone ain't rice paper.
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No, one cannot really fathom the insanity, and red rooster doesn't describe the thickness of skull properly at all, merely the size of it's contents.
rennya - Friday, October 2, 2009 - link
Nope, my inbox is not overflowing with requests, because after all, anyone who wants a 5870 GPU, will be able to get it.If you cannot prove that 5870 is a paper launch, maybe you should shut up your shop?
Sozo - Thursday, October 1, 2009 - link
If we are "red roosters" what does that make you? The green grizzly?SiliconDoc - Thursday, October 1, 2009 - link
Actually the first person to offer any thought on the matter suggested green goblin, which was a decent attempt, since grizzly bears aren't green, and goblins have a much better chance of being so.Howver, if you'd the actual nvidia equivalence of what you ati red roosters are, I'd be happy to provide some examples for you, which I have not done as of yet, and of course you're all too stupid rah-rah to even fathom that. That's pretty sad, and only confirms the problem. I'm certain you can't understand, so don't bother yourself.
http://www.fudzilla.com/content/view/15762/1">http://www.fudzilla.com/content/view/15762/1
silverblue - Thursday, October 1, 2009 - link
What sort of rooster are we talking? I mean, a Sussex rooster is almost exclusively not red. Can I be that one, please?Now THAT's trolling.
Natfly - Thursday, October 1, 2009 - link
I'm thinking a green goober.SiliconDoc - Thursday, October 1, 2009 - link
If you even believed your own pile of fud, you'd go to page 2 I believe it is in the article and see where anand says " sorry that's all we know about the GT300 the game card, nvidia won't tell us anymore"What he was told is IT'S FASTER THAN 5870, and the cores have already been cut, and the cards already under test.
So we already know, if we aren't a raging red doofus, and of course, that is very difficult for almost everyone here.
Also, this was not an official launch date for NVidia, they never declared it as such, just Anand delcared it in his article.
The official launch date for GT300 already spoken about multiple times by the aithors of this website is !!! > THE RELEASE DATE OF WINDOWS 7...
Now, wether nvidia changes their official launch date before then or not, or where the authors got that former information, one can surmise, but changing their AT tune about nvidia in an article title, for a conference and a web video atttendance, in order to appease the shamed and embarrased 3rd time in a row paper launching ati, 4870,4770, 5870, is not "unbiased" nor is it honest, no matter how much you want it to be.
If a person wants to claim it's a planned LEAK to showcase upcoming tech ( nvidia did this AFTER the GT300 gpu cores reported GOOD YIELD) - and combat fools purchasing the epic failure 5870 instead of waiting for the gold, ok.
siyabongazulu - Friday, October 2, 2009 - link
WOw wow wow!! You sir must be the most ignorant, manipulative, underappreciating, bastard.. sorry for tearing your world but you deserve such credentials and a lot more that can be given to people who display your kind of behaviour.You have been crying bias for no reason at all. If Anand says its paper launch, and if tgdaily says its paper launch (http://www.tgdaily.com/content/view/44157/135/)">http://www.tgdaily.com/content/view/44157/135/) and fudzilla (http://www.fudzilla.com/content/view/15762/1/)">http://www.fudzilla.com/content/view/15762/1/) which seems to be your favourite source so far doesn't even speak of anything but a display model that only confirms that GT300 is under construction.
So the only source you can come up with is yourself and you said it here and I quote "If you even believed your own pile of fud, you'd go to page 2 I believe it is in the article and see where anand says " sorry that's all we know about the GT300 the game card, nvidia won't tell us anymore"
What he was told is IT'S FASTER THAN 5870, and the cores have already been cut, and the cards already under test. " Those are your words, not NVIDIAs, no Anand, not Fudzilla, not from any other reviwers but yours.
Therefore, can you please STFU and stop trying to label everyone a red nosed rooster or whatever the f*** u call them.
P.S Not everyone appreciate your level of stupidity and before you can go and say geez there goes another one, FIY I'm running my system on Nvidia card and will buy ATI and snould NVIDIA "Physically Launch" GT300 and prove it to be better then already launched and benchamrked 5870 then you can come back and start your ranting. Until then plug that sh** hole of yours
MonkeyPaw - Thursday, October 1, 2009 - link
Dude, you take this way too personally. Do you have the same burning passion for real problems?