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<channel>
	<title>DeepSense IVS &#8211; Dahua Indonesia</title>
	<atom:link href="https://www.cctvdahua.co.id/product-category/artificial-intelligence/deepsense-ivs/feed/" rel="self" type="application/rss+xml" />
	<link>https://www.cctvdahua.co.id</link>
	<description>camera cctv dahua. Smart Security. Dahua Technology</description>
	<lastBuildDate>Thu, 06 Sep 2018 02:32:50 +0000</lastBuildDate>
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<image>
	<url>https://www.cctvdahua.co.id/wp-content/uploads/2026/03/cropped-dahua-bandung-32x32.png</url>
	<title>DeepSense IVS &#8211; Dahua Indonesia</title>
	<link>https://www.cctvdahua.co.id</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>IVS-F7500</title>
		<link>https://www.cctvdahua.co.id/product/ivs-f7500/</link>
		
		<dc:creator><![CDATA[kim]]></dc:creator>
		<pubDate>Thu, 06 Sep 2018 02:32:44 +0000</pubDate>
				<guid isPermaLink="false">https://www.cctvdahua.co.id/?post_type=product&#038;p=6969</guid>

					<description><![CDATA[<strong>Distributed Face Recognition Server</strong>

[otw_shortcode_button href="https://www.cctvdahua.co.id/wp-content/uploads/2018/09/DHI-IVS-F7500_Datasheet_20180322.pdf" size="large" icon_position="right" shape="round" target="_blank"]Download[/otw_shortcode_button]
]]></description>
										<content:encoded><![CDATA[<table id="table001" class="NEW-TABLE TableOverride-1 tab-drag">
<tbody>
<tr>
<td colspan="60">Hardware</td>
</tr>
<tr>
<td colspan="18">Main Processor</td>
<td colspan="42">Intel Xeon Gold 5120 x2</td>
</tr>
<tr>
<td colspan="18">Memory</td>
<td colspan="42">64GB</td>
</tr>
<tr>
<td colspan="18">Operating System</td>
<td colspan="42">Windows 10</td>
</tr>
<tr>
<td colspan="18">Network</td>
<td colspan="42">2 RJ-45 Ports (10/100/1000Mbps)</td>
</tr>
<tr>
<td colspan="18">Storage</td>
<td colspan="42">5 SATA 4TB HDD, 2 240GB SSD</td>
</tr>
<tr>
<td colspan="18">USB</td>
<td colspan="42">4 USB Ports (2 USB 2.0 , 2 USB 3.0 )</td>
</tr>
<tr>
<td colspan="18">VGA</td>
<td colspan="42">1 VGA Port</td>
</tr>
<tr>
<td colspan="18">Power Supply</td>
<td colspan="42">Hot-plug Redundant Power, 750W</td>
</tr>
<tr>
<td colspan="18">Dimensions</td>
<td colspan="42">2U, 928mm x 592mm x 327mm</td>
</tr>
<tr>
<td colspan="18">Net Weight</td>
<td colspan="42">30-32.7kg</td>
</tr>
<tr>
<td colspan="60">Software</td>
</tr>
<tr>
<td colspan="18">Face Recognition</td>
<td colspan="42">8 x1080P Back-end face detection and recognition;</p>
<p>32 x1080P front-end face detection and back-end recognition</td>
</tr>
<tr>
<td colspan="18">Face Feature</td>
<td colspan="42">Age, Gender, Expression, Glasses</td>
</tr>
<tr>
<td colspan="18">Capture Ratio</td>
<td colspan="42">98%</td>
</tr>
<tr>
<td colspan="18">Recognition Ratio</td>
<td colspan="42">90%</td>
</tr>
<tr>
<td colspan="18">Detection Pixel</td>
<td colspan="42">1080P: 60 x60Pixel</td>
</tr>
<tr>
<td colspan="18">Recogntion Pixel</td>
<td colspan="42">1080P: 120 x120Pixel</td>
</tr>
<tr>
<td colspan="18">Deflection Angle</td>
<td colspan="42">Up and down deflection maximum 15 degrees;<br />
left and right deflection maximum 30 degrees</td>
</tr>
<tr>
<td colspan="18">Database</td>
<td colspan="42">300K</td>
</tr>
<tr>
<td colspan="18">Volume</td>
<td colspan="42">At least 40M face images</td>
</tr>
<tr>
<td colspan="18">Response</td>
<td colspan="42">Less than 1s</td>
</tr>
<tr>
<td colspan="18">Detection</td>
<td colspan="42">Search the captured images according to time or location. Supports single or batch export.</td>
</tr>
<tr>
<td colspan="18">Recogntion</td>
<td colspan="42">Search comparison results according to time or location. Supports single or batch export</td>
</tr>
<tr>
<td colspan="18">Retrieve</td>
<td colspan="42">Detects faces within images and compare them with the face library. Engage in multi-person search and order by similarity. Supports single or batch export</td>
</tr>
<tr>
<td colspan="18">Library</td>
<td colspan="42">Supports register library add, delete, edit, search, and batch import and export</td>
</tr>
<tr>
<td colspan="18">Other</td>
<td colspan="42">Support distributed management, up to 300channels</p>
<p>Work with DSS-Pro</td>
</tr>
</tbody>
</table>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>IVS-F7500-P</title>
		<link>https://www.cctvdahua.co.id/product/ivs-f7500-p/</link>
		
		<dc:creator><![CDATA[kim]]></dc:creator>
		<pubDate>Thu, 06 Sep 2018 02:30:44 +0000</pubDate>
				<guid isPermaLink="false">https://www.cctvdahua.co.id/?post_type=product&#038;p=6967</guid>

					<description><![CDATA[<p class="text" data-v-5c66813e="">Face Recognition Server</p>

<div data-v-5c66813e="">&#62; Up to 2 Intel Xeon processors, up to 20 cores per processor
&#62; NVIDIA TESLA P4 GPU, Integer arithmetic capability up to 22TOPS
&#62; 2 x M.2 SSD 240 GB, raid1. Boot optimized storage subsystem
&#62; 128GB DDR4 ECC memory
&#62; 20T, 5 × 4T SATA HDD
&#62; Up to 100 channels face recognition
&#62; Dynamic Database 300,000; Static Database 20,000,000
&#62; A thousand comparisons per second
&#62; Search by image
&#62; Blacklist alarm
&#62; Hot-plug Redundant Power, hot-plug Redundant fan
<img src="https://www.dahuasecurity.com/asset/upload/uploads/image/20180613/20180613140915_16311.png" alt="" />

</div>

[otw_shortcode_button href="https://www.dahuasecurity.com/asset/upload/product/20180613/IVS-F7500-P_180530.pdf" size="large" icon_position="right" shape="round" target="_blank"]Download[/otw_shortcode_button]
]]></description>
										<content:encoded><![CDATA[<div id="div_left">
<div class="div-drop">
<table id="table001" class="NEW-TABLE TableOverride-1 tab-drag">
<tbody>
<tr>
<td colspan="60">System</td>
</tr>
<tr>
<td colspan="18">Main Processor</td>
<td colspan="42">Intel Xeon Gold 5120 × 2</td>
</tr>
<tr>
<td colspan="18">GPU</td>
<td colspan="42">NVIDIA Tesla P4</td>
</tr>
<tr>
<td colspan="18">Memory</td>
<td colspan="42">128GB, up to 512GB</td>
</tr>
<tr>
<td colspan="18">Operating System</td>
<td colspan="42">CentOS Linux release 7.2.1511 (core)</td>
</tr>
<tr>
<td colspan="60">Artificial Intelligence</td>
</tr>
<tr>
<td colspan="18">Channel</td>
<td colspan="42">Up to 100 channels face recognition</td>
</tr>
<tr>
<td colspan="18">Performance</td>
<td colspan="42">8,500,000 pictures of daily processing</td>
</tr>
<tr>
<td colspan="18">Detection Pixel</td>
<td colspan="42">1080P more than 60 x 60 Pixel</td>
</tr>
<tr>
<td colspan="18">Recogntion Pixel</td>
<td colspan="42">1080P more than 120 x 120 Pixel</td>
</tr>
<tr>
<td colspan="18">Retrieve</td>
<td colspan="42">Detects faces within images and compare them with the</p>
<p>face library. Engage in multi-person search and order by</p>
<p>similarity. Supports single or batch export.</td>
</tr>
<tr>
<td colspan="18">Deflection Angle</td>
<td colspan="42">Up and down deflection maximum 15 degrees;</p>
<p>Left and right deflection maximum 30 degrees.</td>
</tr>
<tr>
<td colspan="18">Dynamic Database</td>
<td colspan="42">300,000</td>
</tr>
<tr>
<td colspan="18">Static Database</td>
<td colspan="42">20,000,000</td>
</tr>
<tr>
<td colspan="18">Response</td>
<td colspan="42">A thousand comparisons per second</td>
</tr>
<tr>
<td colspan="18">Modeling Success Rate</td>
<td colspan="42">More than 99%</td>
</tr>
<tr>
<td colspan="18">Detection</td>
<td colspan="42">Search the captured images according to time or location.</p>
<p>Supports single or batch export.</td>
</tr>
<tr>
<td colspan="18">Recogntion</td>
<td colspan="42">Search comparison results according to time or location.</p>
<p>Supports single or batch export</td>
</tr>
<tr>
<td colspan="18">Facial Attributes</td>
<td colspan="42">Analysis features including gender, age, expression, glasses,moustache,mouth mask.</td>
</tr>
<tr>
<td colspan="18">Library</td>
<td colspan="42">Supports register library add, delete, edit, search, and</p>
<p>batch import and export.</td>
</tr>
<tr>
<td colspan="18">Blacklist</td>
<td colspan="42">Blacklist can be divided into multiple database.</td>
</tr>
<tr>
<td colspan="18">Duplication Check</td>
<td colspan="42">Support single &#8211; library self &#8211; checking and multi &#8211; library</p>
<p>cross &#8211; check.</td>
</tr>
<tr>
<td colspan="60">Network</td>
</tr>
<tr>
<td colspan="18">Interface</td>
<td colspan="42">Dual gigabit port network card</td>
</tr>
<tr>
<td colspan="60">Storage</td>
</tr>
<tr>
<td colspan="18">SDD</td>
<td colspan="42">M.2 SSD 240G × 2 (Raid1)</td>
</tr>
<tr>
<td colspan="18">HDD</td>
<td colspan="42">20T, 4T SATA HDD x 5. Up to 120T.</td>
</tr>
<tr>
<td colspan="60">Auxiliary Interface</td>
</tr>
<tr>
<td colspan="18">USB 3.0</td>
<td colspan="42">4</td>
</tr>
<tr>
<td colspan="18">RS232</td>
<td colspan="42">1</td>
</tr>
<tr>
<td colspan="60">Display</td>
</tr>
<tr>
<td colspan="18">VGA</td>
<td colspan="42">1</td>
</tr>
<tr>
<td colspan="60">Electrical</td>
</tr>
<tr>
<td colspan="18">Power Supply</td>
<td colspan="42">AC 200-240V</td>
</tr>
<tr>
<td colspan="18">Redundant Power</td>
<td colspan="42">Hot-plug Redundant Power</td>
</tr>
<tr>
<td colspan="18">Redundant Fan</td>
<td colspan="42">Hot-plug Redundant Fan</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="div_left">
<div class="div-drop">
<table id="table002" class="NEW-TABLE TableOverride-1 tab-drag">
<tbody>
<tr>
<td colspan="18">Power Consumption</td>
<td colspan="42">Platinum 750W</td>
</tr>
<tr>
<td colspan="60">Environmental</td>
</tr>
<tr>
<td colspan="18">Operating Conditions</td>
<td colspan="42">10℃~35℃</p>
<p>10%~80% RH (29℃)</td>
</tr>
<tr>
<td colspan="18">Storage Conditions</td>
<td colspan="42">-40℃~65℃</p>
<p>5%~95% RH (33℃)</td>
</tr>
<tr>
<td colspan="60">Construction</td>
</tr>
<tr>
<td colspan="18">Size</td>
<td colspan="42">681.7mm(L) x 482mm(W) x 86.8mm(H) (2U)</td>
</tr>
<tr>
<td colspan="18">Weight</td>
<td colspan="42">30kg</td>
</tr>
<tr>
<td colspan="18">Installation</td>
<td colspan="42">Standard 19-inch Rack-mounted</td>
</tr>
<tr>
<td colspan="60">Certifications</td>
</tr>
<tr>
<td colspan="18">CE</td>
<td colspan="42">Yes</td>
</tr>
<tr>
<td colspan="18">FCC</td>
<td colspan="42">Yes</td>
</tr>
</tbody>
</table>
</div>
</div>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>IVS-F7200-P</title>
		<link>https://www.cctvdahua.co.id/product/ivs-f7200-p/</link>
		
		<dc:creator><![CDATA[kim]]></dc:creator>
		<pubDate>Thu, 06 Sep 2018 02:26:23 +0000</pubDate>
				<guid isPermaLink="false">https://www.cctvdahua.co.id/?post_type=product&#038;p=6964</guid>

					<description><![CDATA[<p class="text" data-v-5c66813e="">Face Recognition Server</p>

<div data-v-5c66813e="">&#62; Intel Xeon E3-1245V5 3.5G, 4C/8T
&#62; NVIDIA TESLA P4 GPU, using GPU P4 for intelligent deep learning and computing
&#62; 64GB DDR4 ECC memory
&#62; 16T, 4 × 4T SATA HDD
&#62; Up to 30 channels face recognition
&#62; Dynamic Database 300,000
&#62; A total of 999 dynamic databases can be built
&#62; Blacklist real-time alarm
&#62; Support 1:1; 1:N; n:N for comparison
<img src="https://www.dahuasecurity.com/asset/upload/uploads/image/20180809/20180809093946_14726.png" alt="" />

&#160;

</div>

[otw_shortcode_button href="https://www.cctvdahua.co.id/wp-content/uploads/2018/09/DHI-IVS-F7200-P-datasheet.pdf" size="large" icon_position="right" shape="round" target="_blank"]Download[/otw_shortcode_button]
]]></description>
										<content:encoded><![CDATA[<div id="div_left">
<div class="div-drop">
<table id="table001" class="NEW-TABLE TableOverride-1 tab-drag">
<tbody>
<tr>
<td colspan="60">System</td>
</tr>
<tr>
<td colspan="18">Main Processor</td>
<td colspan="42">Intel Xeon E3-1245V5</td>
</tr>
<tr>
<td colspan="18">GPU</td>
<td colspan="42">NVIDIA Tesla P4</td>
</tr>
<tr>
<td colspan="18">Memory</td>
<td colspan="42">64GB</td>
</tr>
<tr>
<td colspan="18">Operating System</td>
<td colspan="42">Linux</td>
</tr>
<tr>
<td colspan="60">Artificial Intelligence</td>
</tr>
<tr>
<td colspan="18">Channel</td>
<td colspan="42">Up to 30 channels face recognition</td>
</tr>
<tr>
<td colspan="18">Performance</td>
<td colspan="42">8,500,000 pictures of daily processing</td>
</tr>
<tr>
<td colspan="18">Detection Pixel</td>
<td colspan="42">1080P more than 60 x 60 Pixel</td>
</tr>
<tr>
<td colspan="18">Recogntion Pixel</td>
<td colspan="42">1080P more than 120 x 120 Pixel</td>
</tr>
<tr>
<td colspan="18">Retrieve</td>
<td colspan="42">Detects faces within images and compare them with the</p>
<p>face library. Engage in multi-person search and order by</p>
<p>similarity. Supports single or batch export.</td>
</tr>
<tr>
<td colspan="18">Deflection Angle</td>
<td colspan="42">Up and down deflection maximum 15 degrees;</p>
<p>Left and right deflection maximum 30 degrees.</td>
</tr>
<tr>
<td colspan="18">Dynamic Database</td>
<td colspan="42">300,000</td>
</tr>
<tr>
<td colspan="18">Response</td>
<td colspan="42">A thousand comparisons per second</td>
</tr>
<tr>
<td colspan="18">Capture Success Rate</td>
<td colspan="42">More than 98%</td>
</tr>
<tr>
<td colspan="18">Modeling Success Rate</td>
<td colspan="42">More than 99.9%</td>
</tr>
<tr>
<td colspan="18">Recognition Success Rate</td>
<td colspan="42">More than 97%</td>
</tr>
<tr>
<td colspan="18">Detection</td>
<td colspan="42">Search the captured images according to time or location.</p>
<p>Supports single or batch export.</td>
</tr>
<tr>
<td colspan="18">Recogntion</td>
<td colspan="42">Search comparison results according to time or location.</p>
<p>Supports single or batch export</td>
</tr>
<tr>
<td colspan="18">Facial Attributes</td>
<td colspan="42">Analysis features including gender, age, expression, glasses,moustache,mouth mask.</td>
</tr>
<tr>
<td colspan="18">Library</td>
<td colspan="42">Supports register library add, delete, edit, search, and</p>
<p>batch import and export.</td>
</tr>
<tr>
<td colspan="18">Blacklist</td>
<td colspan="42">Blacklist can be divided into multiple database.</td>
</tr>
<tr>
<td colspan="18">Duplication Check</td>
<td colspan="42">Support single &#8211; library self &#8211; checking and multi &#8211; library</p>
<p>cross &#8211; check.</td>
</tr>
<tr>
<td colspan="60">Network</td>
</tr>
<tr>
<td colspan="18">Interface</td>
<td colspan="42">Dual Gigabit Ethernet port</td>
</tr>
<tr>
<td colspan="60">Storage</td>
</tr>
<tr>
<td colspan="18">HDD</td>
<td colspan="42">16T, 4T SATA HDD x 4. Up to 40T.</td>
</tr>
<tr>
<td colspan="60">Auxiliary Interface</td>
</tr>
<tr>
<td colspan="18">USB 3.0</td>
<td colspan="42">4</td>
</tr>
<tr>
<td colspan="18">RS232</td>
<td colspan="42">2</td>
</tr>
<tr>
<td colspan="60">Display</td>
</tr>
<tr>
<td colspan="18">VGA</td>
<td colspan="42">1</td>
</tr>
<tr>
<td colspan="60">Electrical</td>
</tr>
<tr>
<td colspan="18">Power Supply</td>
<td colspan="42">AC 220V</td>
</tr>
<tr>
<td colspan="18">Power Consumption</td>
<td colspan="42">160W</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="div_left">
<div class="div-drop">
<table id="table002" class="NEW-TABLE TableOverride-1 tab-drag">
<tbody>
<tr>
<td colspan="60">Environmental</td>
</tr>
<tr>
<td colspan="18">Operating Temperature</td>
<td colspan="42">0℃~40℃</td>
</tr>
<tr>
<td colspan="18">Operating Humidity</td>
<td colspan="42">35%~40% RH</td>
</tr>
<tr>
<td colspan="60">Construction</td>
</tr>
<tr>
<td colspan="18">Size</td>
<td colspan="42">550mm(D) x 438.5mm(W) x 43.2mm(H) (1U)</td>
</tr>
<tr>
<td colspan="18">Installation</td>
<td colspan="42">Standard 19-inch Rack-mounted</td>
</tr>
<tr>
<td colspan="60">Certifications</td>
</tr>
<tr>
<td colspan="18">CE</td>
<td colspan="42">Yes</td>
</tr>
<tr>
<td colspan="18">FCC</td>
<td colspan="42">Yes</td>
</tr>
</tbody>
</table>
</div>
</div>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>IVS-F7500-2P</title>
		<link>https://www.cctvdahua.co.id/product/ivs-f7500-2p/</link>
		
		<dc:creator><![CDATA[kim]]></dc:creator>
		<pubDate>Thu, 06 Sep 2018 02:24:40 +0000</pubDate>
				<guid isPermaLink="false">https://www.cctvdahua.co.id/?post_type=product&#038;p=6961</guid>

					<description><![CDATA[<p class="text" data-v-5c66813e="">Face Recognition Server</p>

<div data-v-5c66813e="">&#62; Up to 2 Intel Xeon processors, up to 20 cores per processor
&#62; Up to 2 NVIDIA TESLA P4 GPU. Using GPU P4 for intelligent deep learning and computing
&#62; 2 x M.2 SSD 240 GB, raid1. Boot optimized storage subsystem
&#62; 512GB DDR4 ECC memory
&#62; 48T, 12 × 4T SATA HDD
&#62; Up to 200 channels face recognition
&#62; Dynamic Database 300,000
&#62; Static Database 100 million
&#62; Search by image
&#62; Blacklist alarm
<img src="https://www.dahuasecurity.com/asset/upload/uploads/image/20180809/20180809094220_46911.png" alt="" />

&#160;

</div>

[otw_shortcode_button href="https://www.cctvdahua.co.id/wp-content/uploads/2018/09/DHI-IVS-F7500-2P-datasheet.pdf" size="large" icon_position="right" shape="round" target="_blank"]Download[/otw_shortcode_button]
]]></description>
										<content:encoded><![CDATA[<div id="div_left">
<div class="div-drop">
<table id="table001" class="NEW-TABLE TableOverride-1 tab-drag">
<tbody>
<tr>
<td colspan="60">System</td>
</tr>
<tr>
<td colspan="18">Main Processor</td>
<td colspan="42">Intel Xeon Gold 5120 × 2</td>
</tr>
<tr>
<td colspan="18">GPU</td>
<td colspan="42">NVIDIA Tesla P4 × 2</td>
</tr>
<tr>
<td colspan="18">Memory</td>
<td colspan="42">512GB</td>
</tr>
<tr>
<td colspan="18">Operating System</td>
<td colspan="42">Linux</td>
</tr>
<tr>
<td colspan="60">Artificial Intelligence</td>
</tr>
<tr>
<td colspan="18">Channel</td>
<td colspan="42">Up to 200 channels face recognition</td>
</tr>
<tr>
<td colspan="18">Performance</td>
<td colspan="42">8,500,000 pictures of daily processing</td>
</tr>
<tr>
<td colspan="18">Detection Pixel</td>
<td colspan="42">1080P more than 60 x 60 Pixel</td>
</tr>
<tr>
<td colspan="18">Recogntion Pixel</td>
<td colspan="42">1080P more than 120 x 120 Pixel</td>
</tr>
<tr>
<td colspan="18">Retrieve</td>
<td colspan="42">Detects faces within images and compare them with the</p>
<p>face library. Engage in multi-person search and order by</p>
<p>similarity. Supports single or batch export.</td>
</tr>
<tr>
<td colspan="18">Deflection Angle</td>
<td colspan="42">Up and down deflection maximum 15 degrees;</p>
<p>Left and right deflection maximum 30 degrees.</td>
</tr>
<tr>
<td colspan="18">Dynamic Database</td>
<td colspan="42">300,000</td>
</tr>
<tr>
<td colspan="18">Static Database</td>
<td colspan="42">100 million</td>
</tr>
<tr>
<td colspan="18">Response</td>
<td colspan="42">A thousand comparisons per second</td>
</tr>
<tr>
<td colspan="18">Capture Success Rate</td>
<td colspan="42">More than 98%</td>
</tr>
<tr>
<td colspan="18">Modeling Success Rate</td>
<td colspan="42">More than 99<span lang="zh-CN">.9</span>%</td>
</tr>
<tr>
<td colspan="18">Recognition Success Rate</td>
<td colspan="42">More than 97%</td>
</tr>
<tr>
<td colspan="18">Detection</td>
<td colspan="42">Search the captured images according to time or location.</p>
<p>Supports single or batch export.</td>
</tr>
<tr>
<td colspan="18">Recogntion</td>
<td colspan="42">Search comparison results according to time or location.</p>
<p>Supports single or batch export</td>
</tr>
<tr>
<td colspan="18">Facial Attributes</td>
<td colspan="42">Analysis features including gender, age, expression, glasses,moustache,mouth mask.</td>
</tr>
<tr>
<td colspan="18">Library</td>
<td colspan="42">Supports register library add, delete, edit, search, and</p>
<p>batch import and export.</td>
</tr>
<tr>
<td colspan="18">Blacklist</td>
<td colspan="42">Blacklist can be divided into multiple database.</td>
</tr>
<tr>
<td colspan="18">Duplication Check</td>
<td colspan="42">Support single &#8211; library self &#8211; checking and multi &#8211; library</p>
<p>cross &#8211; check.</td>
</tr>
<tr>
<td colspan="60">Network</td>
</tr>
<tr>
<td colspan="18">Interface</td>
<td colspan="42">Dual Gigabit Ethernet port</td>
</tr>
<tr>
<td colspan="60">Storage</td>
</tr>
<tr>
<td colspan="18">SDD</td>
<td colspan="42">M.2 SSD 240G × 2 (Raid1)</td>
</tr>
<tr>
<td colspan="18">HDD</td>
<td colspan="42">48T, 4T SATA HDD x 12. Up to 120T.</td>
</tr>
<tr>
<td colspan="60">Auxiliary Interface</td>
</tr>
<tr>
<td colspan="18">USB 3.0</td>
<td colspan="42">4</td>
</tr>
<tr>
<td colspan="18">RS232</td>
<td colspan="42">1</td>
</tr>
<tr>
<td colspan="60">Display</td>
</tr>
<tr>
<td colspan="18">VGA</td>
<td colspan="42">2</td>
</tr>
<tr>
<td colspan="60">Electrical</td>
</tr>
<tr>
<td colspan="18">Power Supply</td>
<td colspan="42">AC 200-240V</td>
</tr>
<tr>
<td colspan="18">Redundant Power</td>
<td colspan="42">Hot-plug Redundant Power</td>
</tr>
<tr>
<td colspan="18">Redundant Fan</td>
<td colspan="42">Hot-plug Redundant Fan</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="div_left">
<div class="div-drop">
<table id="table002" class="NEW-TABLE TableOverride-1 tab-drag">
<tbody>
<tr>
<td colspan="18">Power Consumption</td>
<td colspan="42">Platinum 750W</td>
</tr>
<tr>
<td colspan="60">Environmental</td>
</tr>
<tr>
<td colspan="18">Operating Conditions</td>
<td colspan="42">10℃~35℃</p>
<p>10%~80% RH (29℃)</td>
</tr>
<tr>
<td colspan="18">Storage Conditions</td>
<td colspan="42">-40℃~65℃</p>
<p>5%~95% RH (33℃)</td>
</tr>
<tr>
<td colspan="60">Construction</td>
</tr>
<tr>
<td colspan="18">Size</td>
<td colspan="42">681.7mm(L) x 482mm(W) x 86.8mm(H) (2U)</td>
</tr>
<tr>
<td colspan="18">Weight</td>
<td colspan="42">30kg</td>
</tr>
<tr>
<td colspan="18">Installation</td>
<td colspan="42">Standard 19-inch Rack-mounted</td>
</tr>
<tr>
<td colspan="60">Certifications</td>
</tr>
<tr>
<td colspan="18">CE</td>
<td colspan="42">Yes</td>
</tr>
<tr>
<td colspan="18">FCC</td>
<td colspan="42">Yes</td>
</tr>
</tbody>
</table>
</div>
</div>
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