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	<title>Blog.:.CGSutra &#187; NVIDIA</title>
	<atom:link href="http://blog.cgsutra.com/tag/nvidia/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.cgsutra.com</link>
	<description>Where cgRokrs Rock..</description>
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		<title>NVidia Water and Raytrace Demo</title>
		<link>http://blog.cgsutra.com/2010/04/07/nvidia-water-and-raytrace-demo/</link>
		<comments>http://blog.cgsutra.com/2010/04/07/nvidia-water-and-raytrace-demo/#comments</comments>
		<pubDate>Wed, 07 Apr 2010 06:40:02 +0000</pubDate>
		<dc:creator>Pradeep Mamgain</dc:creator>
				<category><![CDATA[CG News]]></category>
		<category><![CDATA[NVIDIA]]></category>
		<category><![CDATA[raytrace demo]]></category>

		<guid isPermaLink="false">http://blog.cgsutra.com/2010/04/07/nvidia-water-and-raytrace-demo/</guid>
		<description><![CDATA[Check out the latest demos and games that we recommend for GTX 400 GPUs. Download the demos and get the latest wallpapers! source Tags: NVIDIA, raytrace demo Related posts NVIDIA Tesla Personal Supercomputer (0) NVIDUA CUDA 2.0 released for production (0) NVIDIA Quadro® FX 5800 &#8211; First 4 GB Graphics Card (0)]]></description>
			<content:encoded><![CDATA[<p>Check out the latest demos and games that we recommend for GTX 400 GPUs. Download the demos and get the latest wallpapers!</p>
<p><a href="http://www.nvidia.com/object/GTX_400_games_demos.html">source</a></p>
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	Tags: <a href="http://blog.cgsutra.com/tag/nvidia/" title="NVIDIA" rel="tag">NVIDIA</a>, <a href="http://blog.cgsutra.com/tag/raytrace-demo/" title="raytrace demo" rel="tag">raytrace demo</a><br />

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	<li><a href="http://blog.cgsutra.com/2008/08/24/nvidua-cuda-20-released-for-production/" title="NVIDUA CUDA 2.0 released for production (August 24, 2008)">NVIDUA CUDA 2.0 released for production</a> (0)</li>
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</ul>

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		<item>
		<title>NVIDIA Tesla Personal Supercomputer</title>
		<link>http://blog.cgsutra.com/2008/11/29/nvidia-tesla-personal-supercomputer/</link>
		<comments>http://blog.cgsutra.com/2008/11/29/nvidia-tesla-personal-supercomputer/#comments</comments>
		<pubDate>Sat, 29 Nov 2008 14:01:56 +0000</pubDate>
		<dc:creator>Pradeep Mamgain</dc:creator>
				<category><![CDATA[Misc]]></category>
		<category><![CDATA[Hardware]]></category>
		<category><![CDATA[NVIDIA]]></category>
		<category><![CDATA[tesla]]></category>

		<guid isPermaLink="false">http://blog.cgsutra.com/2008/11/29/nvidia-tesla-personal-supercomputer/</guid>
		<description><![CDATA[Get your own supercomputer. Experience cluster level computing performance—up to 250 times faster than standard PCs and workstations—right at your desk. The NVIDIA® Tesla™ Personal Supercomputer is based on the revolutionary NVIDIA® CUDA™ parallel computing architecture and powered by up to 960 parallel processing cores. get amazed Tags: Hardware, NVIDIA, tesla Related posts New 15 [...]]]></description>
			<content:encoded><![CDATA[<p><img src="http://blog.cgsutra.com/wp-content/uploads/2008/11/tesla.jpg" width="500" height="183" alt="" border="0"></p>
<p>Get your own supercomputer. Experience cluster level computing performance—up to 250 times faster than standard PCs and workstations—right at your desk. The <a href="http://blog.cgsutra.com/tag/nvidia/" class="st_tag internal_tag" rel="tag" title="Posts tagged with NVIDIA">NVIDIA</a>® <a href="http://blog.cgsutra.com/tag/tesla/" class="st_tag internal_tag" rel="tag" title="Posts tagged with tesla">Tesla</a>™ Personal Supercomputer is based on the revolutionary <a href="http://blog.cgsutra.com/tag/nvidia/" class="st_tag internal_tag" rel="tag" title="Posts tagged with NVIDIA">NVIDIA</a>® <a href="http://blog.cgsutra.com/tag/cuda/" class="st_tag internal_tag" rel="tag" title="Posts tagged with CUDA">CUDA</a>™ parallel computing architecture and powered by up to 960 parallel processing cores.</p>
<p><a href="http://www.nvidia.com/object/personal_supercomputing.html" target="_blank">get amazed</a>
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	Tags: <a href="http://blog.cgsutra.com/tag/hardware/" title="Hardware" rel="tag">Hardware</a>, <a href="http://blog.cgsutra.com/tag/nvidia/" title="NVIDIA" rel="tag">NVIDIA</a>, <a href="http://blog.cgsutra.com/tag/tesla/" title="tesla" rel="tag">tesla</a><br />

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	<li><a href="http://blog.cgsutra.com/2010/04/07/nvidia-water-and-raytrace-demo/" title="NVidia Water and Raytrace Demo (April 7, 2010)">NVidia Water and Raytrace Demo</a> (0)</li>
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</ul>

]]></content:encoded>
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		<item>
		<title>NVIDIA Quadro® FX 5800 &#8211; First 4 GB Graphics Card</title>
		<link>http://blog.cgsutra.com/2008/11/14/nvidia-quadro%c2%ae-fx-5800-first-4-gb-graphics-card/</link>
		<comments>http://blog.cgsutra.com/2008/11/14/nvidia-quadro%c2%ae-fx-5800-first-4-gb-graphics-card/#comments</comments>
		<pubDate>Sat, 15 Nov 2008 03:55:14 +0000</pubDate>
		<dc:creator>Pradeep Mamgain</dc:creator>
				<category><![CDATA[Misc]]></category>
		<category><![CDATA[cgsutra]]></category>
		<category><![CDATA[NVIDIA]]></category>

		<guid isPermaLink="false">http://blog.cgsutra.com/2008/11/14/nvidia-quadro%c2%ae-fx-5800-first-4-gb-graphics-card/</guid>
		<description><![CDATA[The Quadro® FX 5800 ultra-high-end solution gives geophysicists, designers, scientists, engineers, and other technical professionals visual supercomputing from their desktops. Professional applications take advantage of the advanced feature set of the Quadro FX 5800, including 4GB of frame buffer, providing professionals with the right set of tools to deliver results that push visualization beyond traditional [...]]]></description>
			<content:encoded><![CDATA[<p><img src="http://blog.cgsutra.com/wp-content/uploads/2008/11/nvidia.jpg" border="0" alt="" width="499" height="278" /></p>
<p>The Quadro® FX 5800 ultra-high-end solution gives geophysicists, designers, scientists, engineers, and other technical professionals visual supercomputing from their desktops. Professional applications take advantage of the advanced feature set of the Quadro FX 5800, including 4GB of frame buffer, providing professionals with the right set of tools to deliver results that push visualization beyond traditional 3D.</p>
<p><a href="http://blog.cgsutra.com/tag/cuda/" class="st_tag internal_tag" rel="tag" title="Posts tagged with CUDA">CUDA</a> Parallel Processor Cores	240<br />
Memory Size Total	            4  GB<br />
Memory Bandwidth	            102 GB/s<br />
Number of Slots	                        2<br />
Display Connectors	            Stereo, DP, Dual Link DVI<br />
Dual Link DVI	                        2<br />
DisplayPort	                        1<br />
OpenGL	                                    2.1<br />
Shader Model	                        4.0<br />
Microsoft DirectX	            10<br />
SLI Frame Rendering Support	yes<br />
Genlock/Framelock          	yes<br />
Maximum Power Consumption	189W</p>
<p><a href="http://www.nvidia.com/object/product_quadro_fx_5800_us.html" target="_blank">admire</a>
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	Tags: <a href="http://blog.cgsutra.com/tag/cgsutra/" title="cgsutra" rel="tag">cgsutra</a>, <a href="http://blog.cgsutra.com/tag/nvidia/" title="NVIDIA" rel="tag">NVIDIA</a><br />

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		<item>
		<title>NVIDUA CUDA 2.0 released for production</title>
		<link>http://blog.cgsutra.com/2008/08/24/nvidua-cuda-20-released-for-production/</link>
		<comments>http://blog.cgsutra.com/2008/08/24/nvidua-cuda-20-released-for-production/#comments</comments>
		<pubDate>Sun, 24 Aug 2008 16:38:42 +0000</pubDate>
		<dc:creator>Pradeep Mamgain</dc:creator>
				<category><![CDATA[CG News]]></category>
		<category><![CDATA[CUDA]]></category>
		<category><![CDATA[NVIDIA]]></category>

		<guid isPermaLink="false">http://blog.cgsutra.com/2008/08/24/nvidua-cuda-20-released-for-production/</guid>
		<description><![CDATA[NVIDIA CUDA™ technology is the world&#8217;s only C language environment that enables programmers and developers to write software to solve complex computational problems in a fraction of the time by tapping into the many-core parallel processing power of GPUs. With millions of CUDA-capable GPUs already deployed, thousands of software programmers are already using the free [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://blog.cgsutra.com/tag/nvidia/" class="st_tag internal_tag" rel="tag" title="Posts tagged with NVIDIA">NVIDIA</a> <a href="http://blog.cgsutra.com/tag/cuda/" class="st_tag internal_tag" rel="tag" title="Posts tagged with CUDA">CUDA</a>™ technology is the world&#8217;s only C language environment that enables programmers and developers to write software to solve complex computational problems in a fraction of the time by tapping into the many-core parallel processing power of GPUs. With <a href="http://www.nvidia.com/object/cuda_learn_products.html">millions of CUDA-capable GPUs</a> already deployed, thousands of software programmers are already using the free <a href="http://blog.cgsutra.com/tag/cuda/" class="st_tag internal_tag" rel="tag" title="Posts tagged with CUDA">CUDA</a> software tools to accelerate applications-from video and audio encoding to oil and gas exploration, product design, medical imaging, and scientific research.</p>
<ul class="default">
<li>Standard C language for parallel application development on the GPU</li>
<li>Standard numerical libraries for FFT (Fast Fourier Transform) and BLAS (Basic Linear Algebra Subroutines)</li>
<li>Dedicated <a href="http://blog.cgsutra.com/tag/cuda/" class="st_tag internal_tag" rel="tag" title="Posts tagged with CUDA">CUDA</a> driver for computing with fast data transfer path between GPU and CPU</li>
<li><a href="http://blog.cgsutra.com/tag/cuda/" class="st_tag internal_tag" rel="tag" title="Posts tagged with CUDA">CUDA</a> driver interoperates with OpenGL and DirectX graphics drivers</li>
<li>Support for Linux 32/64-bit and Windows XP 32/64-bit operating systems</li>
</ul>
<p>          <a href="http://www.nvidia.com/object/cuda_get.html">download</a>        </p>
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	Tags: <a href="http://blog.cgsutra.com/tag/cuda/" title="CUDA" rel="tag">CUDA</a>, <a href="http://blog.cgsutra.com/tag/nvidia/" title="NVIDIA" rel="tag">NVIDIA</a><br />

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</ul>

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