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  <title>Hardware - RSS Feed</title>
  <link>https://tech.ava360.com/browse-hardware-videos-1-date.html</link>
  <description>The latest news in technology at AVA360 | Mobile App, Computing, Mobile, Software, Networking, Software, ...</description>
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   <title>10 Years of NVIDIA DGX: From One System to AI Factories</title>
   <link>https://tech.ava360.com/10-years-of-nvidia-dgx-from-one-system-to-ai-factories_a0474ac6f.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/xAgq8ByWK0M/mqdefault.jpg"  /></p>A decade ago, Jensen Huang introduced DGX-1 to help researchers tackle AI challenges once thought out of reach. He delivered the first DGX-1 to OpenAI, which started the AI revolution. <br />
What began as a single system has evolved into the blueprint for the modern AI factory—driving breakthroughs across research, medicine, industry and beyond.<br />
<br />
Thank you to every researcher, developer, partner and customer who has shared this journey. Here’s to the next decade of NVIDIA DGX.<br />
<br />
Want to learn more about NVIDIA DGX? <br />
Register for DGX sessions at GTC Berlin: <br />
https://www.nvidia.com/en-eu/gtc/sessions/nvidia-dgx-platform/?ncid=so-yout-513661 <br />
<br />
See how customers have achieved AI breakthroughs with DGX: <br />
https://resources.nvidia.com/l/en-us-dgx-customer-use-cases/?ncid=so-yout-258708]]></description>
   <pubDate>Thu, 24 Sep 2026 21:05:10 -0400</pubDate>
   <media:content medium="video" duration="212"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>10 Years of NVIDIA DGX: From One System to AI Factories</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/xAgq8ByWK0M/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;A decade ago, Jensen Huang introduced DGX-1 to help researchers tackle AI challenges once thought out of reach. He delivered the first DGX-1 to OpenAI, which started the AI revolution. &amp;lt;br /&amp;gt;
What began as a single system has evolved into the blueprint for the modern AI factory—driving breakthroughs across research, medicine, industry and beyond.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Thank you to every researcher, developer, partner and customer who has shared this journey. Here’s to the next decade of NVIDIA DGX.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Want to learn more about NVIDIA DGX? &amp;lt;br /&amp;gt;
Register for DGX sessions at GTC Berlin: &amp;lt;br /&amp;gt;
https://www.nvidia.com/en-eu/gtc/sessions/nvidia-dgx-platform/?ncid=so-yout-513661 &amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
See how customers have achieved AI breakthroughs with DGX: &amp;lt;br /&amp;gt;
https://resources.nvidia.com/l/en-us-dgx-customer-use-cases/?ncid=so-yout-258708]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/xAgq8ByWK0M/mqdefault.jpg" />
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   <guid>https://tech.ava360.com/10-years-of-nvidia-dgx-from-one-system-to-ai-factories_a0474ac6f.html</guid>
  </item>
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   <title>We got @unsloth a DGX Station!</title>
   <link>https://tech.ava360.com/we-got-unsloth-a-dgx-station_d2be077b2.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/vFXpC3GOe0E/mqdefault.jpg"  /></p>Daniel Han and Nader Khalil checked out Unsloth’s new @DellTechnologies Pro Max with GB300 and talked about what comes next: support for more models, faster quantization, and more efficient reinforcement learning.<br />
<br />
Learn more about DGX Station: https://www.nvidia.com/en-us/products/workstations/dgx-station/]]></description>
   <pubDate>Wed, 23 Sep 2026 21:00:13 -0400</pubDate>
   <media:content medium="video" duration="68"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>We got @unsloth a DGX Station!</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/vFXpC3GOe0E/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Daniel Han and Nader Khalil checked out Unsloth’s new @DellTechnologies Pro Max with GB300 and talked about what comes next: support for more models, faster quantization, and more efficient reinforcement learning.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Learn more about DGX Station: https://www.nvidia.com/en-us/products/workstations/dgx-station/]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/vFXpC3GOe0E/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/we-got-unsloth-a-dgx-station_d2be077b2.html</guid>
  </item>
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   <title>NVIDIA CEO Jensen Huang on The Ezra Klein Show</title>
   <link>https://tech.ava360.com/nvidia-ceo-jensen-huang-on-the-ezra-klein-show_8ee7c9c2b.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/hirhw-LZL6M/mqdefault.jpg"  /></p>Al is technology that is built and improved by people, who have a responsibility to develop and deploy it thoughtfully.<br />
<br />
And helping people benefit from Al means taking its challenges seriously.<br />
<br />
The technology industry needs to do that work.<br />
<br />
Credit: The Ezra Klein Show, New York Times Opinion]]></description>
   <pubDate>Wed, 23 Sep 2026 21:00:13 -0400</pubDate>
   <media:content medium="video" duration="75"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>NVIDIA CEO Jensen Huang on The Ezra Klein Show</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/hirhw-LZL6M/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Al is technology that is built and improved by people, who have a responsibility to develop and deploy it thoughtfully.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
And helping people benefit from Al means taking its challenges seriously.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
The technology industry needs to do that work.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Credit: The Ezra Klein Show, New York Times Opinion]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/hirhw-LZL6M/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/nvidia-ceo-jensen-huang-on-the-ezra-klein-show_8ee7c9c2b.html</guid>
  </item>
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   <title>How businesses can use AI and keep their data private</title>
   <link>https://tech.ava360.com/how-businesses-can-use-ai-and-keep-their-data-private_830abac32.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/fZ10JtLAoOc/mqdefault.jpg"  /></p>Enterprises should own their intelligence.<br />
<br />
That means bringing AI to their sensitive data while protecting both business data and proprietary models. <br />
<br />
NVIDIA’s VP of Enterprise AI Justin Boitano and VAST Data CEO Renen Hallak discuss how NVIDIA Confidential Computing makes this possible.]]></description>
   <pubDate>Tue, 22 Sep 2026 20:55:10 -0400</pubDate>
   <media:content medium="video" duration="45"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>How businesses can use AI and keep their data private</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/fZ10JtLAoOc/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Enterprises should own their intelligence.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
That means bringing AI to their sensitive data while protecting both business data and proprietary models. &amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
NVIDIA’s VP of Enterprise AI Justin Boitano and VAST Data CEO Renen Hallak discuss how NVIDIA Confidential Computing makes this possible.]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/fZ10JtLAoOc/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/how-businesses-can-use-ai-and-keep-their-data-private_830abac32.html</guid>
  </item>
  <item xmlns:media="http://search.yahoo.com/mrss/" xmlns:dcterms="http://purl.org/dc/terms/">
   <title>Why the AI Ecosystem Builds on NVIDIA - Jensen Huang at the All-In Summit</title>
   <link>https://tech.ava360.com/why-the-ai-ecosystem-builds-on-nvidia-jensen-huang-at-the-all-in-summit_9dda81d30.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/wgd9C8JYZEM/mqdefault.jpg"  /></p>Models across the AI ecosystem run on NVIDIA.<br />
<br />
New models and AI labs are emerging all the time. Our CEO Jensen Huang shares the idea behind NVIDIA’s platform: build what the ecosystem needs and help everyone succeed. #AllInSummit]]></description>
   <pubDate>Fri, 18 Sep 2026 20:35:10 -0400</pubDate>
   <media:content medium="video" duration="59"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>Why the AI Ecosystem Builds on NVIDIA - Jensen Huang at the All-In Summit</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/wgd9C8JYZEM/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Models across the AI ecosystem run on NVIDIA.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
New models and AI labs are emerging all the time. Our CEO Jensen Huang shares the idea behind NVIDIA’s platform: build what the ecosystem needs and help everyone succeed. #AllInSummit]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/wgd9C8JYZEM/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/why-the-ai-ecosystem-builds-on-nvidia-jensen-huang-at-the-all-in-summit_9dda81d30.html</guid>
  </item>
  <item xmlns:media="http://search.yahoo.com/mrss/" xmlns:dcterms="http://purl.org/dc/terms/">
   <title>AI-RAN: 5 Things to Know</title>
   <link>https://tech.ava360.com/ai-ran-5-things-to-know_c5eaf8a16.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/ehDCT62U-IA/mqdefault.jpg"  /></p>AI-RAN is moving beyond field trials and toward commercial deployment. NVIDIA and global telecom leaders have committed to building 6G on open, secure and AI-native platforms.<br />
<br />
The technology is gaining momentum, but what exactly is AI-RAN?<br />
<br />
In this video, Cindy Goh breaks down 5 things you need to know about AI-RAN, from how it improves network performance to how it enables edge AI services and helps lay the foundation for 6G.<br />
<br />
???? Learn more about AI-RAN: https://nvda.ws/4yyqNHe]]></description>
   <pubDate>Thu, 17 Sep 2026 20:30:12 -0400</pubDate>
   <media:content medium="video" duration="134"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>AI-RAN: 5 Things to Know</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/ehDCT62U-IA/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;AI-RAN is moving beyond field trials and toward commercial deployment. NVIDIA and global telecom leaders have committed to building 6G on open, secure and AI-native platforms.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
The technology is gaining momentum, but what exactly is AI-RAN?&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
In this video, Cindy Goh breaks down 5 things you need to know about AI-RAN, from how it improves network performance to how it enables edge AI services and helps lay the foundation for 6G.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
???? Learn more about AI-RAN: https://nvda.ws/4yyqNHe]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/ehDCT62U-IA/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/ai-ran-5-things-to-know_c5eaf8a16.html</guid>
  </item>
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   <title>Build Custom AI Infrastructure with NVIDIA NVLink Fusion</title>
   <link>https://tech.ava360.com/build-custom-ai-infrastructure-with-nvidia-nvlink-fusion-1_4ed737595.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/cr61seCie_c/mqdefault.jpg"  /></p>Discover how NVIDIA NVLink Fusion enables hyperscalers, AI natives, and other custom silicon innovators to combine NVIDIA technology with their XPUs or CPUs to deploy AI infrastructure. <br />
<br />
By extending NVIDIA's vertically integrated and horizontally open platform across custom systems, NVLink Fusion delivers industry-leading scale-up performance, reduces deployment risk, and accelerates time to market for heterogeneous compute.]]></description>
   <pubDate>Thu, 17 Sep 2026 20:30:12 -0400</pubDate>
   <media:content medium="video" duration="150"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>Build Custom AI Infrastructure with NVIDIA NVLink Fusion</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/cr61seCie_c/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Discover how NVIDIA NVLink Fusion enables hyperscalers, AI natives, and other custom silicon innovators to combine NVIDIA technology with their XPUs or CPUs to deploy AI infrastructure. &amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
By extending NVIDIA&apos;s vertically integrated and horizontally open platform across custom systems, NVLink Fusion delivers industry-leading scale-up performance, reduces deployment risk, and accelerates time to market for heterogeneous compute.]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/cr61seCie_c/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/build-custom-ai-infrastructure-with-nvidia-nvlink-fusion-1_4ed737595.html</guid>
  </item>
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   <title>The Infrastructure of Intelligence: NVIDIA and OpenAI on a Decade of Building Frontier AI</title>
   <link>https://tech.ava360.com/the-infrastructure-of-intelligence-nvidia-and-openai-on-a-decade-of-building-frontier-ai_0a61338c2.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/KT89PEe9d7U/mqdefault.jpg"  /></p>Frontier AI breakthroughs are also infrastructure breakthroughs. In this fireside chat, NVIDIA’s Ian Buck and OpenAI’s Sachin Katti reflect on a decade of collaboration – from the first DGX-1 to the NVIDIA infrastructure powering Astra – and what they’ve learned building and operating AI at unprecedented scale. <br />
<br />
They’ll explore how the relationship has expanded beyond frontier model training, how NVIDIA is using OpenAI technology internally, and what the next generation of AI infrastructure will require. Moderated by Bloomberg’s Dina Bass.]]></description>
   <pubDate>Wed, 16 Sep 2026 20:25:10 -0400</pubDate>
   <media:content medium="video" duration="1230"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>The Infrastructure of Intelligence: NVIDIA and OpenAI on a Decade of Building Frontier AI</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/KT89PEe9d7U/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Frontier AI breakthroughs are also infrastructure breakthroughs. In this fireside chat, NVIDIA’s Ian Buck and OpenAI’s Sachin Katti reflect on a decade of collaboration – from the first DGX-1 to the NVIDIA infrastructure powering Astra – and what they’ve learned building and operating AI at unprecedented scale. &amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
They’ll explore how the relationship has expanded beyond frontier model training, how NVIDIA is using OpenAI technology internally, and what the next generation of AI infrastructure will require. Moderated by Bloomberg’s Dina Bass.]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/KT89PEe9d7U/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/the-infrastructure-of-intelligence-nvidia-and-openai-on-a-decade-of-building-frontier-ai_0a61338c2.html</guid>
  </item>
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   <title>Advancing Infrastructure for the Era of Agentic AI | Ian Buck at AI Infra Summit 2026</title>
   <link>https://tech.ava360.com/advancing-infrastructure-for-the-era-of-agentic-ai-ian-buck-at-ai-infra-summit-2026_0e26296e0.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/RuXF7ck32b8/mqdefault.jpg"  /></p>Agentic AI demands a new kind of AI infrastructure—one built for long context, reasoning, tool calls, sub-agents and efficient performance at scale.<br />
<br />
In this AI Infra Summit 2026 keynote, Ian Buck, NVIDIA vice president of hyperscale and high-performance computing, explores the NVIDIA Vera Rubin full-stack AI factory platform.<br />
<br />
Vera Rubin delivers a rich ecosystem of developers and partners, a fungible architecture for every model and workload—from pre-training and inference to agentic AI and accelerated computing—and a durable platform that gets faster with every CUDA release across a decade of service.<br />
<br />
See how NVIDIA Vera Rubin NVL72, Groq 3 LPX, Vera CPU, NVLink 6, NVLink Fusion and NVIDIA DSX help AI factories generate more tokens from every megawatt.<br />
<br />
Explore more from AI Infra Summit 2026: https://nvda.ws/4xKClav  <br />
<br />
Learn how NVIDIA NVLink and extreme co-design enable leading performance in the latest SemiAnalysis AgentX benchmark: https://nvda.ws/4yC811H]]></description>
   <pubDate>Wed, 16 Sep 2026 20:25:09 -0400</pubDate>
   <media:content medium="video" duration="1747"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>Advancing Infrastructure for the Era of Agentic AI | Ian Buck at AI Infra Summit 2026</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/RuXF7ck32b8/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Agentic AI demands a new kind of AI infrastructure—one built for long context, reasoning, tool calls, sub-agents and efficient performance at scale.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
In this AI Infra Summit 2026 keynote, Ian Buck, NVIDIA vice president of hyperscale and high-performance computing, explores the NVIDIA Vera Rubin full-stack AI factory platform.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Vera Rubin delivers a rich ecosystem of developers and partners, a fungible architecture for every model and workload—from pre-training and inference to agentic AI and accelerated computing—and a durable platform that gets faster with every CUDA release across a decade of service.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
See how NVIDIA Vera Rubin NVL72, Groq 3 LPX, Vera CPU, NVLink 6, NVLink Fusion and NVIDIA DSX help AI factories generate more tokens from every megawatt.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Explore more from AI Infra Summit 2026: https://nvda.ws/4xKClav  &amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Learn how NVIDIA NVLink and extreme co-design enable leading performance in the latest SemiAnalysis AgentX benchmark: https://nvda.ws/4yC811H]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/RuXF7ck32b8/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/advancing-infrastructure-for-the-era-of-agentic-ai-ian-buck-at-ai-infra-summit-2026_0e26296e0.html</guid>
  </item>
  <item xmlns:media="http://search.yahoo.com/mrss/" xmlns:dcterms="http://purl.org/dc/terms/">
   <title>Building More Energy Efficient AI Factories With NVIDIA DSX</title>
   <link>https://tech.ava360.com/building-more-energy-efficient-ai-factories-with-nvidia-dsx_2a82ab421.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/4O1Gl4_xk3w/mqdefault.jpg"  /></p>AI factories are designed as integrated systems across grid, power, and cooling turning every megawatt into more intelligence. <br />
<br />
See how the NVIDIA DSX™ AI Factory Platform brings together NVIDIA DSX MaxLPS, 800 VDC power delivery, 45°C closed-loop liquid cooling, and NVIDIA DSX Flex to support more energy efficient, scalable, and grid-aware AI infrastructure.<br />
<br />
Learn more: https://www.nvidia.com/en-us/data-center/products/dsx/]]></description>
   <pubDate>Tue, 15 Sep 2026 20:20:08 -0400</pubDate>
   <media:content medium="video" duration="114"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>Building More Energy Efficient AI Factories With NVIDIA DSX</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/4O1Gl4_xk3w/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;AI factories are designed as integrated systems across grid, power, and cooling turning every megawatt into more intelligence. &amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
See how the NVIDIA DSX™ AI Factory Platform brings together NVIDIA DSX MaxLPS, 800 VDC power delivery, 45°C closed-loop liquid cooling, and NVIDIA DSX Flex to support more energy efficient, scalable, and grid-aware AI infrastructure.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Learn more: https://www.nvidia.com/en-us/data-center/products/dsx/]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/4O1Gl4_xk3w/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/building-more-energy-efficient-ai-factories-with-nvidia-dsx_2a82ab421.html</guid>
  </item>
  <item xmlns:media="http://search.yahoo.com/mrss/" xmlns:dcterms="http://purl.org/dc/terms/">
   <title>Build Custom AI Infrastructure with NVIDIA NVLink Fusion</title>
   <link>https://tech.ava360.com/build-custom-ai-infrastructure-with-nvidia-nvlink-fusion_4eb77514c.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/YkojG31MIBI/mqdefault.jpg"  /></p>Discover how NVIDIA NVLink Fusion enables hyperscalers, AI natives, and other custom silicon innovators to combine NVIDIA technology with their XPUs or CPUs to deploy AI infrastructure. <br />
<br />
By extending NVIDIA's vertically integrated and horizontally open platform across custom systems, NVLink Fusion delivers industry-leading scale-up performance, reduces deployment risk, and accelerates time to market for heterogeneous compute.]]></description>
   <pubDate>Tue, 15 Sep 2026 20:20:07 -0400</pubDate>
   <media:content medium="video" duration="150"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>Build Custom AI Infrastructure with NVIDIA NVLink Fusion</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/YkojG31MIBI/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Discover how NVIDIA NVLink Fusion enables hyperscalers, AI natives, and other custom silicon innovators to combine NVIDIA technology with their XPUs or CPUs to deploy AI infrastructure. &amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
By extending NVIDIA&apos;s vertically integrated and horizontally open platform across custom systems, NVLink Fusion delivers industry-leading scale-up performance, reduces deployment risk, and accelerates time to market for heterogeneous compute.]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/YkojG31MIBI/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/build-custom-ai-infrastructure-with-nvidia-nvlink-fusion_4eb77514c.html</guid>
  </item>
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   <title>NVIDIA CEO Jensen Huang at the All-In Summit</title>
   <link>https://tech.ava360.com/nvidia-ceo-jensen-huang-at-the-all-in-summit_0f51bcc1c.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/CC380G7fyH0/mqdefault.jpg"  /></p>AI safety matters. <br />
<br />
Strong engineering, rigorous testing, and accountability are how we get it right.<br />
<br />
Our CEO Jensen Huang on moving quickly, innovating, and leading responsibly.<br />
<br />
#AllInSummit]]></description>
   <pubDate>Tue, 15 Sep 2026 20:20:07 -0400</pubDate>
   <media:content medium="video" duration="22"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>NVIDIA CEO Jensen Huang at the All-In Summit</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/CC380G7fyH0/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;AI safety matters. &amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Strong engineering, rigorous testing, and accountability are how we get it right.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Our CEO Jensen Huang on moving quickly, innovating, and leading responsibly.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
#AllInSummit]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/CC380G7fyH0/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/nvidia-ceo-jensen-huang-at-the-all-in-summit_0f51bcc1c.html</guid>
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   <title>NVIDIA Bionemo Inference Runtime</title>
   <link>https://tech.ava360.com/nvidia-bionemo-inference-runtime_13717250a.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/pHQcVJrHveA/mqdefault.jpg"  /></p>NVIDIA BioNeMo Inference Runtime (BioIR) <br />
<br />
Accelerates biomolecular structure prediction inference for models like OpenFold3 and Boltz-2 on NVIDIA H100 and H200 GPUs.<br />
<br />
By optimizing discovery-scale workloads, BioIR reduces the energy required to generate 31 million protein complex predictions for the AlphaFold Database by an estimated 1.35 GWh - the equivalent of 18,000 EV charges or 5.4 million electric vehicle miles.<br />
<br />
GitHub - https://nvda.ws/3UKXFy4<br />
Tech blog - https://nvda.ws/4dchK6H]]></description>
   <pubDate>Thu, 10 Sep 2026 19:40:09 -0400</pubDate>
   <media:content medium="video" duration="49"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>NVIDIA Bionemo Inference Runtime</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/pHQcVJrHveA/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;NVIDIA BioNeMo Inference Runtime (BioIR) &amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Accelerates biomolecular structure prediction inference for models like OpenFold3 and Boltz-2 on NVIDIA H100 and H200 GPUs.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
By optimizing discovery-scale workloads, BioIR reduces the energy required to generate 31 million protein complex predictions for the AlphaFold Database by an estimated 1.35 GWh - the equivalent of 18,000 EV charges or 5.4 million electric vehicle miles.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
GitHub - https://nvda.ws/3UKXFy4&amp;lt;br /&amp;gt;
Tech blog - https://nvda.ws/4dchK6H]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/pHQcVJrHveA/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/nvidia-bionemo-inference-runtime_13717250a.html</guid>
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   <title>Building Europe&apos;s AI Stack — Inside the Barcelona Supercomputing Center</title>
   <link>https://tech.ava360.com/building-europes-ai-stack-%e2%80%94-inside-the-barcelona-supercomputing-center_41ae2083a.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/4GY-x4WAafc/mqdefault.jpg"  /></p>We sat down with the Barcelona Supercomputing Center to talk about what it really takes to turn a continent's scientific ambition into an AI powerhouse.<br />
<br />
BSC hosts MareNostrum 5 — one of the largest supercomputers in Europe. But raw compute is just the start. The BSC AI Factory, backed by the European Commission, is doing something harder: compressing the journey from idea to deployable AI product for the startups and SMEs who can't afford to wait.<br />
<br />
The model is simple in concept, hard to execute: energy → chips → infrastructure → models → applications. Five layers. One coherent stack.]]></description>
   <pubDate>Wed, 09 Sep 2026 19:25:10 -0400</pubDate>
   <media:content medium="video" duration="182"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>Building Europe&amp;apos;s AI Stack — Inside the Barcelona Supercomputing Center</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/4GY-x4WAafc/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;We sat down with the Barcelona Supercomputing Center to talk about what it really takes to turn a continent&apos;s scientific ambition into an AI powerhouse.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
BSC hosts MareNostrum 5 — one of the largest supercomputers in Europe. But raw compute is just the start. The BSC AI Factory, backed by the European Commission, is doing something harder: compressing the journey from idea to deployable AI product for the startups and SMEs who can&apos;t afford to wait.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
The model is simple in concept, hard to execute: energy → chips → infrastructure → models → applications. Five layers. One coherent stack.]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/4GY-x4WAafc/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/building-europes-ai-stack-%e2%80%94-inside-the-barcelona-supercomputing-center_41ae2083a.html</guid>
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   <title>Editing Faster in Adobe Premiere with NVIDIA RTX Spark</title>
   <link>https://tech.ava360.com/editing-faster-in-adobe-premiere-with-nvidia-rtx-spark_d55c3cf4a.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/V0Hx37EqcMI/mqdefault.jpg"  /></p>RTX Spark is built to accelerate demanding creative workflows, helping editors spend less time waiting and more time creating.<br />
<br />
This demo shows how NVIDIA RTX-acceleration in Adobe Premiere can speed up scene edit detection, enable real-time color correction, track objects with one click and play back multiple streams of 4K 10-bit footage without transcoding or low-resolution proxies.<br />
<br />
Learn more about RTX Spark: https://www.nvidia.com/en-us/products/rtx-spark/<br />
<br />
Follow NVIDIA RTX Spark on social:<br />
X: https://x.com/NVIDIARTXSpark <br />
Instagram: https://www.instagram.com/nvidiartxspark/ <br />
TikTok: https://www.tiktok.com/@nvidiartxspark <br />
Facebook: https://www.facebook.com/NVIDIARTXSpark]]></description>
   <pubDate>Wed, 09 Sep 2026 19:25:10 -0400</pubDate>
   <media:content medium="video" duration="70"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>Editing Faster in Adobe Premiere with NVIDIA RTX Spark</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/V0Hx37EqcMI/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;RTX Spark is built to accelerate demanding creative workflows, helping editors spend less time waiting and more time creating.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
This demo shows how NVIDIA RTX-acceleration in Adobe Premiere can speed up scene edit detection, enable real-time color correction, track objects with one click and play back multiple streams of 4K 10-bit footage without transcoding or low-resolution proxies.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Learn more about RTX Spark: https://www.nvidia.com/en-us/products/rtx-spark/&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Follow NVIDIA RTX Spark on social:&amp;lt;br /&amp;gt;
X: https://x.com/NVIDIARTXSpark &amp;lt;br /&amp;gt;
Instagram: https://www.instagram.com/nvidiartxspark/ &amp;lt;br /&amp;gt;
TikTok: https://www.tiktok.com/@nvidiartxspark &amp;lt;br /&amp;gt;
Facebook: https://www.facebook.com/NVIDIARTXSpark]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/V0Hx37EqcMI/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/editing-faster-in-adobe-premiere-with-nvidia-rtx-spark_d55c3cf4a.html</guid>
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  <item xmlns:media="http://search.yahoo.com/mrss/" xmlns:dcterms="http://purl.org/dc/terms/">
   <title>NVIDIA GTC Europe: Advancing AI Together</title>
   <link>https://tech.ava360.com/nvidia-gtc-europe-advancing-ai-together_42eef2f32.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/a6qM4YHSKRQ/mqdefault.jpg"  /></p>Across Europe, AI communities have been moving the field forward for years. This October, Berlin becomes a meeting point for the people building what comes next. ????<br />
<br />
Join researchers, developers, engineers, and industry leaders at #NVIDIAGTC Berlin, October 20-22.<br />
<br />
Register today: https://nvda.ws/46ARP4O]]></description>
   <pubDate>Wed, 09 Sep 2026 19:25:10 -0400</pubDate>
   <media:content medium="video" duration="30"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>NVIDIA GTC Europe: Advancing AI Together</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/a6qM4YHSKRQ/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Across Europe, AI communities have been moving the field forward for years. This October, Berlin becomes a meeting point for the people building what comes next. ????&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Join researchers, developers, engineers, and industry leaders at #NVIDIAGTC Berlin, October 20-22.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Register today: https://nvda.ws/46ARP4O]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/a6qM4YHSKRQ/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/nvidia-gtc-europe-advancing-ai-together_42eef2f32.html</guid>
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   <title>The Easiest Way to Run Hermes Locally | @Nousresearch</title>
   <link>https://tech.ava360.com/the-easiest-way-to-run-hermes-locally-nousresearch_3df3cf9db.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/TaqNUvMCRBs/mqdefault.jpg"  /></p>Local AI agents should be easy to set up.<br />
<br />
That’s why @Nousresearch is bringing one-click local model setup to Hermes Agent across NVIDIA systems on Windows and Linux.<br />
<br />
Learn more: https://blogs.nvidia.com/local-ai–ifa-next-gen-agents-nv-pair-rtx-spark]]></description>
   <pubDate>Fri, 04 Sep 2026 08:30:10 -0400</pubDate>
   <media:content medium="video" duration="66"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>The Easiest Way to Run Hermes Locally | @Nousresearch</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/TaqNUvMCRBs/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Local AI agents should be easy to set up.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
That’s why @Nousresearch is bringing one-click local model setup to Hermes Agent across NVIDIA systems on Windows and Linux.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Learn more: https://blogs.nvidia.com/local-ai–ifa-next-gen-agents-nv-pair-rtx-spark]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/TaqNUvMCRBs/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/the-easiest-way-to-run-hermes-locally-nousresearch_3df3cf9db.html</guid>
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   <title>The Industrialization of Intelligence</title>
   <link>https://tech.ava360.com/the-industrialization-of-intelligence_1a43487a7.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/3eNtVFTEys4/mqdefault.jpg"  /></p>Taiwan helped build the computing era. Now its semiconductor ecosystem is building the infrastructure, systems, and software that power the AI era.<br />
<br />
This video celebrates Taiwan’s technology ecosystem and the engineers, researchers, manufacturers, developers, and partners turning breakthroughs in chip design, advanced manufacturing, accelerated computing, and AI into technology used around the world.<br />
<br />
Created for SEMICON Taiwan 2026.<br />
<br />
Presented with Chinese subtitles.]]></description>
   <pubDate>Thu, 03 Sep 2026 08:25:15 -0400</pubDate>
   <media:content medium="video" duration="96"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>The Industrialization of Intelligence</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/3eNtVFTEys4/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;Taiwan helped build the computing era. Now its semiconductor ecosystem is building the infrastructure, systems, and software that power the AI era.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
This video celebrates Taiwan’s technology ecosystem and the engineers, researchers, manufacturers, developers, and partners turning breakthroughs in chip design, advanced manufacturing, accelerated computing, and AI into technology used around the world.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Created for SEMICON Taiwan 2026.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Presented with Chinese subtitles.]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/3eNtVFTEys4/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/the-industrialization-of-intelligence_1a43487a7.html</guid>
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   <title>NVIDIA and CrowdStrike are advancing agentic cyber defense with SafeMind</title>
   <link>https://tech.ava360.com/nvidia-and-crowdstrike-are-advancing-agentic-cyber-defense-with-safemind_3ec62aa15.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/MKNMReFVcp4/mqdefault.jpg"  /></p>NVIDIA and CrowdStrike are advancing agentic cyber defense with SafeMind, a new family of security models and harnesses built on NVIDIA Nemotron.<br />
<br />
Introduced at Fal.Con, SafeMind is customized with CrowdStrike threat data to support triage and detection generation for cyber defense.]]></description>
   <pubDate>Wed, 02 Sep 2026 08:20:07 -0400</pubDate>
   <media:content medium="video" duration="67"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>NVIDIA and CrowdStrike are advancing agentic cyber defense with SafeMind</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/MKNMReFVcp4/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;NVIDIA and CrowdStrike are advancing agentic cyber defense with SafeMind, a new family of security models and harnesses built on NVIDIA Nemotron.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Introduced at Fal.Con, SafeMind is customized with CrowdStrike threat data to support triage and detection generation for cyber defense.]]&amp;gt;</media:description>
   <media:thumbnail url="https://i.ytimg.com/vi/MKNMReFVcp4/mqdefault.jpg" />
   </media:content>
   <guid>https://tech.ava360.com/nvidia-and-crowdstrike-are-advancing-agentic-cyber-defense-with-safemind_3ec62aa15.html</guid>
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   <title>Tokenomics 101: What Are Tokens &amp; Why They Matter | AI Factory Insider Ep. 4</title>
   <link>https://tech.ava360.com/tokenomics-101-what-are-tokens-why-they-matter-ai-factory-insider-ep-4_54668019f.html</link>
   <description><![CDATA[<p><img src="https://i.ytimg.com/vi/MkbepPfaeMU/mqdefault.jpg"  /></p>In Episode 4 of AI Factory Insider, host Kaushik Shirhatti (VP, AI Factory, NVIDIA) is joined by Shruti Koparkar (Sr. Manager, Product Marketing, NVIDIA) and Tue Tran (GTM Strategic Ops, NVIDIA) to discuss what a token actually is, why not all tokens are equal, and how to tie AI factory investment to real business ROI.<br />
<br />
What we cover: <br />
0:00 — Introduction <br />
1:28 — Meet our guests: Shruti Koparkar & Tue Tran <br />
2:42 — What is a token? <br />
3:54 — What is "tokenomics," and why is it relevant now? <br />
4:58 — Not all tokens are equal: intelligence, context, and speed <br />
7:44 — Trading vs. research: matching tokens to the use case <br />
9:20 — Retail video: one-token answers vs. batch captioning <br />
10:40 — Sizing token demand: back-of-napkin math <br />
12:10 — The multipliers: reasoning, agentic loops, and cache hit rate <br />
13:54 — KV cache and prefix matching explained <br />
16:34 — Supply: the AI factory as a car engine <br />
17:29 — Dense models vs. mixture of experts <br />
20:19 — Right model for the right task: a telco example <br />
21:24 — Intelligent routing with NeMo Switchyard <br />
22:10 — Where are your tokens going? Observability with NeMo Relay <br />
22:38 — Matching infrastructure: NVL72, HGX, and RTX PRO Servers <br />
23:31 — Dynamo and extreme co-design <br />
24:25 — Monetization: four paths from tokens to ROI <br />
27:54 — Just get started, and make it a team effort <br />
29:18 — Guardrails for a token tsunami <br />
31:32 — Wrap-up<br />
<br />
Resources: <br />
AI Tokenomics: A Framework for Deploying and Monetizing Inference at Scale ???? https://nvda.ws/45WUA0e <br />
Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value ???? https://nvda.ws/4gE3Hry<br />
NVIDIA AI Factory Validated Design Guide ???? https://nvda.ws/4wGGHz0]]></description>
   <pubDate>Wed, 02 Sep 2026 08:20:07 -0400</pubDate>
   <media:content medium="video" duration="2045"  type="video/x-flv"  height="401" width="496" >
   <media:player url="https://tech.ava360.com/players/flowplayer2/flowplayer.swf" />
   <media:title>Tokenomics 101: What Are Tokens &amp;amp; Why They Matter | AI Factory Insider Ep. 4</media:title>
   <media:description>&amp;lt;![CDATA[&amp;lt;p&amp;gt;&amp;lt;img src=&quot;https://i.ytimg.com/vi/MkbepPfaeMU/mqdefault.jpg&quot;  /&amp;gt;&amp;lt;/p&amp;gt;In Episode 4 of AI Factory Insider, host Kaushik Shirhatti (VP, AI Factory, NVIDIA) is joined by Shruti Koparkar (Sr. Manager, Product Marketing, NVIDIA) and Tue Tran (GTM Strategic Ops, NVIDIA) to discuss what a token actually is, why not all tokens are equal, and how to tie AI factory investment to real business ROI.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
What we cover: &amp;lt;br /&amp;gt;
0:00 — Introduction &amp;lt;br /&amp;gt;
1:28 — Meet our guests: Shruti Koparkar &amp; Tue Tran &amp;lt;br /&amp;gt;
2:42 — What is a token? &amp;lt;br /&amp;gt;
3:54 — What is &quot;tokenomics,&quot; and why is it relevant now? &amp;lt;br /&amp;gt;
4:58 — Not all tokens are equal: intelligence, context, and speed &amp;lt;br /&amp;gt;
7:44 — Trading vs. research: matching tokens to the use case &amp;lt;br /&amp;gt;
9:20 — Retail video: one-token answers vs. batch captioning &amp;lt;br /&amp;gt;
10:40 — Sizing token demand: back-of-napkin math &amp;lt;br /&amp;gt;
12:10 — The multipliers: reasoning, agentic loops, and cache hit rate &amp;lt;br /&amp;gt;
13:54 — KV cache and prefix matching explained &amp;lt;br /&amp;gt;
16:34 — Supply: the AI factory as a car engine &amp;lt;br /&amp;gt;
17:29 — Dense models vs. mixture of experts &amp;lt;br /&amp;gt;
20:19 — Right model for the right task: a telco example &amp;lt;br /&amp;gt;
21:24 — Intelligent routing with NeMo Switchyard &amp;lt;br /&amp;gt;
22:10 — Where are your tokens going? Observability with NeMo Relay &amp;lt;br /&amp;gt;
22:38 — Matching infrastructure: NVL72, HGX, and RTX PRO Servers &amp;lt;br /&amp;gt;
23:31 — Dynamo and extreme co-design &amp;lt;br /&amp;gt;
24:25 — Monetization: four paths from tokens to ROI &amp;lt;br /&amp;gt;
27:54 — Just get started, and make it a team effort &amp;lt;br /&amp;gt;
29:18 — Guardrails for a token tsunami &amp;lt;br /&amp;gt;
31:32 — Wrap-up&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Resources: &amp;lt;br /&amp;gt;
AI Tokenomics: A Framework for Deploying and Monetizing Inference at Scale ???? https://nvda.ws/45WUA0e &amp;lt;br /&amp;gt;
Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value ???? https://nvda.ws/4gE3Hry&amp;lt;br /&amp;gt;
NVIDIA AI Factory Validated Design Guide ???? https://nvda.ws/4wGGHz0]]&amp;gt;</media:description>
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