Titan: Excellent Performance per Dollar

[SirPauly]

Imho.

One can make the point for Cuda, well, Titan offers excellent performance per dollar. However, for gaming, considering the node and architecture was substantial and significant the price/performance was more-so evolutionary and incremental. The constructive nit-pick for 28nm as a whole over-all.

For example: A 40nm monolith GeForce owner that desired to wait for the 28nm monolith GeForce upgrade was rewarded with 2+ years of waiting and an 100 percent increase in price.

Ultimately, the market decides and nVidia is marketing the sku as where super-computing and gaming collide and potentially a new level of price-points where they don't cannibalize sales for the GK-10X and derivatives , including SLi, or their professional families.

 

[Arkadrel]

The reason this thread got so derailed is because....

For the PhD minions out there, its time to convince your advisor to buy Titan. We're experiencing a x2 speedup over GTX680 without any code modifications!!! Time to tell your advisor time is money, double the research throughput w/ Titan!!

1) above sounds like a infomercial.

2) thread title, is missing "for cuda projects" by Phd students
(to makeing it a true statement).

For non cuda projects, Titan just isnt "excellent performance per dollar".
Not for OpenCL performance compaired to other alternatives.
Not for gameing people that look for Performance/$.

^ look at that, almost every other card is better "performance per dollar".
That means mean the Titan is "excellent" performance per dollar right?
(its only excellent when it comes to cuda)

That's a front for shilling I tell ya!!
Quick...trace their IPs...they may be on these forums ALREADY!!! We all have to be vigilant! Anyone recommending Titan is suspect right now! :biggrin:

Lets mock people, for not agreeing with the TS.

Do you not think the title is misleading?
Or that the first post sounds like a infomercial?

 

[SirPauly]

Imho,

Premium gaming products without competition are not strong price performance value offerings to start with over-all.

Potentially, if they priced them cheaper, nVIdia may not be able to keep up with demand and more importantly, they're protecting current and future margins -- for example Gk-104 and their derivatives.

Ultimately, the market decides how decisions turn out for companies!

 

[wand3r3r]

If you read my OP



This isn't for the "average joe", unless you are suggesting every "average joe" here is a PhD that requires intensive computing for their research.

Titan is a high end product (and priced such), and definitely not for the "average joe". However, if your work / research requires high performance computing such as GPUs, Titan is a very very very excellent product and has an extremely high return on investment.

Consider the option between $0 capital cost for not purchasing any hardware, versus $5 to purchase a simple calculator. If your work permits it, even though the $5 calculator costs infinitely more than not purchasing a calculator, it still has an excellent return on investment since it saves you time.

Similar analysis can be done for Titan, sure you are spending more dollars for initial upfront capital costs, but you should do your cost analysis over a period of time. How much is your time worth? Hence, if your time is worth squat, it is very very very advantageous to purchase Titans. Our approved supply channels are actually all out of Titans and generally have a 2 week wait period to get them, they are selling very very well as far as I know (K20s are available, but they do cost quite a bit more, esp when our group does not need the ECC or enterprise features).


Some benchmarks here as well:
http://forums.anandtech.com/showthread.php?t=2312284

I was referring to cloudPuff... He's the one that used the term, without mentioning CUDA or PhD students (He later said he means for Cuda or something in the other thread along with a lot of insults).

Anyway I can see your point for limited parallel computing. The title of the thread is misleading to say the least.

 

[bystander36]

I think we can walk away with 3 things from this post:
Research teams like CUDA and Titan.
Due to labor costs, performance per dollar in terms of card costs means little.
People on this site can't think outside the gaming box.

 

[Insomniator]

I think we can walk away with 3 things from this post:
Research teams like CUDA and Titan.
Due to labor costs, performance per dollar in terms of card costs means little.
People on this site can't think outside the gaming box.

This and also they can't look at any data without immediately comparing to the other camp and throwing their own biased opinions out there for no reason.

They see a benchmark they do not understand at all and know nothing about and instantly yell X is awesome!

 

[Cloudfire777]

^Average Joe on the internet