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	<title>cuda-x &#8211; EFR Technology Group</title>
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	<title>cuda-x &#8211; EFR Technology Group</title>
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		<title>NVIDIA&#8217;s EGX supercomputer tech can crunch 1.6 terabytes a second</title>
		<link>https://www.efrtechgroup.com/ai/nvidias-egx-supercomputer-tech-can-crunch-1-6-terabytes-a-second/</link>
		
		<dc:creator><![CDATA[Randall]]></dc:creator>
		<pubDate>Mon, 21 Oct 2019 23:35:00 +0000</pubDate>
				<category><![CDATA[Ai]]></category>
		<category><![CDATA[business]]></category>
		<category><![CDATA[cloud]]></category>
		<category><![CDATA[cuda-x]]></category>
		<category><![CDATA[egx]]></category>
		<category><![CDATA[egx edge superomputing platform]]></category>
		<category><![CDATA[gear]]></category>
		<category><![CDATA[nvidia]]></category>
		<category><![CDATA[supercomputers]]></category>
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		<guid isPermaLink="false">https://www.efrtechgroup.com/nvidias-egx-supercomputer-tech-can-crunch-1-6-terabytes-a-second/</guid>

					<description><![CDATA[[ad_1] As an example, NVIDIA said Walmart deployed its EGX tech in its Levittown, NY retail lab to improve in-store shopping. It can apparently tell employees to retrieve shopping carts, restock produce and meat, open up checkout lanes and stock shelves. In that application, &#8220;Walmart is able to compute in real time more than 1.6 [&#8230;]]]></description>
										<content:encoded><![CDATA[<p> [ad_1]<br />
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<p>As an example, NVIDIA said Walmart deployed its EGX tech in its Levittown, NY retail lab to improve in-store shopping. It can apparently tell employees to retrieve shopping carts, restock produce and meat, open up checkout lanes and stock shelves. In that application, &#8220;Walmart is able to compute in real time more than 1.6 terabytes of data generated each second,&#8221; NVIDIA said.</p>
<p>Samsung is using the app to help it design and manufacture semiconductors, while BMW is crunching data from cameras and other sensors to automate vehicle inspection. NVIDIA offers a variety of apps for the product, including NVIDIA Metropolis, used by cities to streamline traffic and pedestrian flow, among other jobs. In another application, EGX can be used to speed up 5G radio network deployments while making them more flexible with new services like AR, VR and gaming.</p>
<p>None of this is very consumer friendly, but you could feel the effects of it when you go about your daily business. NVIDIA said it&#8217;s already being used by over 100 tech companies around the world.</p>
</p></div>
<p>[ad_2]<br />
<br /><a href="https://www.engadget.com/2019/10/21/nvidias-egx-supercomputer-tech-can-crunch-1-6-terabytes-a-secon/">Source link </a></p>
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		<title>NVIDIA&#8217;s $99 Jetson Nano is an AI computer for DIY enthusiasts</title>
		<link>https://www.efrtechgroup.com/ai/nvidias-99-jetson-nano-is-an-ai-computer-for-diy-enthusiasts/</link>
					<comments>https://www.efrtechgroup.com/ai/nvidias-99-jetson-nano-is-an-ai-computer-for-diy-enthusiasts/#respond</comments>
		
		<dc:creator><![CDATA[Randall]]></dc:creator>
		<pubDate>Mon, 18 Mar 2019 22:16:00 +0000</pubDate>
				<category><![CDATA[Ai]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[artificialintelligence]]></category>
		<category><![CDATA[cuda]]></category>
		<category><![CDATA[cuda-x]]></category>
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		<category><![CDATA[jetson]]></category>
		<category><![CDATA[jetson nano]]></category>
		<category><![CDATA[jetsonnano]]></category>
		<category><![CDATA[maxwell]]></category>
		<category><![CDATA[nvidia]]></category>
		<category><![CDATA[Robots]]></category>
		<category><![CDATA[Tech]]></category>
		<guid isPermaLink="false">https://www.efrtechgroup.com/nvidias-99-jetson-nano-is-an-ai-computer-for-diy-enthusiasts/</guid>

					<description><![CDATA[[ad_1] The kit can run Linux out of the box, and supports a raft of AI frameworks (including, of course, NVIDIA&#8217;s own). It comes equipped with 4GB of RAM, gigabit Ethernet and the I/O you&#8217;d need for cameras and other attachments. Price, unsurprisingly, is the main hook. While the Nano isn&#8217;t nearly as powerful as [&#8230;]]]></description>
										<content:encoded><![CDATA[<p> [ad_1]<br />
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<p>The kit can run Linux out of the box, and supports a raft of AI frameworks (including, of course, NVIDIA&#8217;s own). It comes equipped with 4GB of RAM, gigabit Ethernet and the I/O you&#8217;d need for cameras and other attachments.</p>
<p>Price, unsurprisingly, is the main hook. While the Nano isn&#8217;t nearly as powerful as <a href="https://www.engadget.com/2018/12/12/nvidia-jetson-agx-xavier-robot-processor-available/">higher-end Jetson models</a>, it&#8217;s available now at $99 for individuals and $129 for &#8220;production-ready&#8221; units destined for companies. That puts it within range of hobbyists, inventors and students who are willing to spend a bit more (but only a bit more) to create their own automated devices.</p>
</p></div>
<p>[ad_2]<br />
<br /><a href="https://www.engadget.com/2019/03/18/nvidia-jetson-nano-ai-computer/">Source link </a></p>
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