Comments on: NVIDIA announces investment effort for GPU-based computing startups

By: mike

mike — Sat, 23 May 2009 02:11:43 +0000

Nvidia GEforce 4-now unchanged architecture.

If they don’t do this then their going to have some big problems on their hands.

By: NVIDIA announces investment effort for GPU-based « Internet Making Money

NVIDIA announces investment effort for GPU-based « Internet Making Money — Wed, 11 Mar 2009 16:38:23 +0000

[...] Link source:http://www.crunchgear.com/2009/03/09/nvidia-announces-investment-effort-for-gpu-based-computing-star… [...]

By: Naeem

Naeem — Wed, 11 Mar 2009 14:45:08 +0000

i am also going buliding a new 32 core 256-bit processor with 1 gb of case and 5000 mhz bus

in 2011 Join me

By: Computer Forum

Computer Forum — Wed, 11 Mar 2009 14:00:08 +0000

I have used Nvdia Graphics cards since the early days of the company. I still use to this day because of their great driver support. So i am looking forward to the new generation cards.

By: popurls.com // popular today

popurls.com // popular today — Tue, 10 Mar 2009 22:20:05 +0000

popurls.com // popular today…

story has entered the popular today section on popurls.com…

By: Devin Coldewey

Devin Coldewey — Tue, 10 Mar 2009 18:03:59 +0000

I wasn’t aware we’d had an election! Consumers are hardly even aware of the idea, much less able to pass judgment on its usefulness.

By: Devin Coldewey

Devin Coldewey — Tue, 10 Mar 2009 18:03:05 +0000

it should be live now.

By: gio

gio — Tue, 10 Mar 2009 10:16:00 +0000

Great blog! It’s always so nice to be inspired

By: NVIDIA公司宣布投资努力用于GPU计算初创 @ 工具及科技新闻

NVIDIA公司宣布投资努力用于GPU计算初创 @ 工具及科技新闻 — Tue, 10 Mar 2009 09:37:45 +0000

[...] crunchgear Tech Industry [...]

By: NVIDIA invests in GPU-based computing

NVIDIA invests in GPU-based computing — Tue, 10 Mar 2009 08:34:49 +0000

[...] Source:→ Crunchgear [...]

By: Amit Aviv

Amit Aviv — Tue, 10 Mar 2009 08:34:08 +0000

The link to “GPU Ventures Program” is broken :(

By: Chris

Chris — Tue, 10 Mar 2009 06:20:48 +0000

“At the very least, hopefully this initiative will enlighten people to the wonders massive parallelism can bring to huge problems”

I would love to see a cascading spin lock panic on millions of threads in a server side graphics system.

I would be laughing my ass off.

I wonder if that will happen at city space.

By: wisdom

wisdom — Tue, 10 Mar 2009 06:13:05 +0000

i certainly would not mind being able to fold more proteins, I wish nvidia well in this endeavor

By: Fred

Fred — Tue, 10 Mar 2009 06:09:16 +0000

I use NVIDIA cards too. My fan is really loud for some reason.. wait, what are those lines and blotches on the scre

By: watzabatza

watzabatza — Tue, 10 Mar 2009 06:06:07 +0000

i used nvidia graphic card too… but i wonder why if I play games like Warcraft and Special Force, there’s a time that the game will going to lag, the screen slowly moves… is there any reason why it’s gonna be?

By: Chris

Chris — Tue, 10 Mar 2009 05:14:09 +0000

Plus all the frames have to be saved as images queued up into movie frames and encoded to .flv.

If I was going to do something like this, I would look at a Cell PU farm also as a possible solution for large scale processing.

By: Chris

Chris — Tue, 10 Mar 2009 05:12:27 +0000

Where is the NVidia equivalent of this ???

http://www.google.com/search?q=fglrx+source

If you can’t optimize the GPU to render several frames per memory swap(back buffer), then how can you render say 1000 clients running a game on the server side?

OGL isn’t enough. You need the ko source to really get the best out of it. The drivers for these cards are made for client side rendering.

IBM cell may be an even more attractive solution for server side rendering then GPUs because you don’t have the bus or DMAs. Cell’s data busses are on chip == fast.

At any rate, I am knee deep in mobile. Good luck OTOY clones!!!

By: eitaniefka

eitaniefka — Tue, 10 Mar 2009 04:59:04 +0000

As a current student in a CUDA course taught by ex-NVIDIA professors and current NVIDIA engineers (special topics course at UIllinois), I can see both sides of this story.

On the one hand, you need a really substantial application requiring thousands of threads to have any shot at outperforming a CPU given the overhead required by going to the GPU for computation. Further, the programming model requires considerably more thought and skill to correctly leverage than a sequential one.

On the flip side, there are thousands of (non-mainstream) applications out there that could already benefit. And with a bit of a paradigm shift in the way people program, additional uses might be found in more common programming. At the very least, hopefully this initiative will enlighten people to the wonders massive parallelism can bring to huge problems (simulation, protein folding, etc.), and there’s nothing wrong with that…

By: laribu

laribu — Tue, 10 Mar 2009 04:45:15 +0000

The market for GPU apps is very limited. The consumers have voted.

By: jp

jp — Tue, 10 Mar 2009 04:43:35 +0000

I use NVIDIA graphics card . i just love them. I wish success in new venture.