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The latest servers we've bought at work are 3U high instead of our usual 2U, so we could install graphics cards to speed up some of our multi-camera image processing.
Unfortunately, we didn't take account of the extra power connectors on top of the graphics card.
Whether searching for and extracting oil, designing and bringing the next luxury vehicle to market, or providing a diagnosis of a patient’s condition, professionals are faced with a mountain of data that needs to be distilled into meaningful and actionable visualizations. The size and complexity of data is growing at an exponential rate. In an increasingly competitive and high-pressure landscape, professionals need to deliver results better, faster, and more cost effectively than ever before. Traditional processing paradigms just cannot keep up.
Mobo, onboard sound, network, graphics.
Intel Celeron 2.6GHz.
Radeon 256Mb card.
1Gb DDR Ram.
200Gb Maxtor HD.
I took these shots when all the bits and pieces for my new computer turned up yesterday.
I love the gradient effect on this shot - it's all natural (no photoshop) - off camera flash subject left and a reflector to throw some light down on the top from the flash.
Nvidia QuadroFX 3450
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Philippines License.
recently i got my hand on two nVIDIA 8800GTX :D ...... amazing card ..... will take any game for breakfast :D ..... running them in SLI was fun tooo ..... a lot longer than the motherboard as u can see in the pic ..... both card will cost u more than 70k :) ..
It is also worlds first DirectX 10 card
If you have a card like the XT1900 in your MacPro, make sure the vents are not clogged by dust! Mine were, and I thought this cured the freezing and line problem, but no such luck. Hence the new card being sent under warranty (Apple Care).
Whether searching for and extracting oil, designing and bringing the next luxury vehicle to market, or providing a diagnosis of a patient’s condition, professionals are faced with a mountain of data that needs to be distilled into meaningful and actionable visualizations. The size and complexity of data is growing at an exponential rate. In an increasingly competitive and high-pressure landscape, professionals need to deliver results better, faster, and more cost effectively than ever before. Traditional processing paradigms just cannot keep up.
the shadow is just a bit too bad for me to use this photo in the how-to I may link to it nevertheless