Array
(
    [content] => 
    [params] => Array
        (
            [0] => /forum/threads/nvidia-time-capsule-2011-computing-brief.25226/
        )

    [addOns] => Array
        (
            [DL6/MLTP] => 13
            [Hampel/TimeZoneDebug] => 1000070
            [SV/ChangePostDate] => 2010200
            [SemiWiki/Newsletter] => 1000010
            [SemiWiki/WPMenu] => 1000010
            [SemiWiki/XPressExtend] => 1000010
            [ThemeHouse/XLink] => 1000970
            [ThemeHouse/XPress] => 1010570
            [XF] => 2031070
            [XFI] => 1060170
        )

    [wordpress] => /var/www/html
)

Nvidia "time capsule" - 2011 Computing Brief

Xebec

Well-known member
I can't post full slides here for reasons, but I found a Nvidia customer brief in 2011 that had a few interesting take-aways:

- Nvidia was much smaller in 2011 than today -- ~ $1B vs $20B in R&D. "300 engineers dedicated to application enablement" in 2011...
- GPU Double Precision FP performance didn't exceed x86 until 2008
- Nvidia's "2011" big pushes were: CUDA, and Remote (Desktop/VDI) usage of GPUs such as for Mobile workstations/clients, and expanding support for engineering applications
- Strategic Vision "Go Visual, Go Parallel, Go Mobile"

It was clear even in 2011 that Nvidia had already strategically moved on from consumer gaming to the enterprise market, at least based on this slide deck.

The charts also start out with the history of visual computing - starting with 1999 "Wireframe Design" transition from UNIX/RISC to Windows/Intel. First Blade GPU in 2003. "GPU Interactive Ray Tracing" starting in 2007. (Ray Tracing GPUs for consumer later came out in 2018, and these GPUs allowed AI applications to function well).

1780577664375.png
1780577830079.png



1780577530520.png
 
FYI: As I have mentioned before, GPUs were a huge push at Intel around the same timeframe. Many people thought GPUs were the future of all compute, especially data center. Also the AI future was heavily discussed.

I am told CUDA was a big differentiator. But I do know that Intel executing GPU products as committed was a source of laughter for other product groups (I can give many reasons for this.... short answer is that you cannot tell product development teams its ok to miss the target)
 
Back
Top