<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>Silk Blog</title>
    <link>https://silk.us/blog</link>
    <description />
    <language>en-us</language>
    <pubDate>Fri, 18 Sep 2026 21:30:10 GMT</pubDate>
    <dc:date>2026-09-18T21:30:10Z</dc:date>
    <dc:language>en-us</dc:language>
    <item>
      <title>Time to Face Facts: Retailers are Becoming Tech Companies | Silk</title>
      <link>https://silk.us/blog/time-to-face-facts-retailers-are-becoming-tech-companies</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/time-to-face-facts-retailers-are-becoming-tech-companies" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Retail-customers.jpg" alt="Time to Face Facts: Retailers are Becoming Tech Companies | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="font-weight: 400;"&gt;Have you ever noticed how shopping has evolved from a simple trip to the store to a fully immersive, tech-infused experience? Today’s consumers are seeking personalized shopping encounters that seamlessly blend the physical with the digital. Rather than merely selling products, retailers must now adopt the mindset of technology companies to meet these evolving demands. In this blog post, we’ll explore some innovative retailers leading the charge and delve into the compelling reasons why retailers need to embrace technology.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/time-to-face-facts-retailers-are-becoming-tech-companies" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Retail-customers.jpg" alt="Time to Face Facts: Retailers are Becoming Tech Companies | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="font-weight: 400;"&gt;Have you ever noticed how shopping has evolved from a simple trip to the store to a fully immersive, tech-infused experience? Today’s consumers are seeking personalized shopping encounters that seamlessly blend the physical with the digital. Rather than merely selling products, retailers must now adopt the mindset of technology companies to meet these evolving demands. In this blog post, we’ll explore some innovative retailers leading the charge and delve into the compelling reasons why retailers need to embrace technology.&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=1964766&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fsilk.us%2Fblog%2Ftime-to-face-facts-retailers-are-becoming-tech-companies&amp;amp;bu=https%253A%252F%252Fsilk.us%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <pubDate>Fri, 18 Sep 2026 21:30:10 GMT</pubDate>
      <guid>https://silk.us/blog/time-to-face-facts-retailers-are-becoming-tech-companies</guid>
      <dc:date>2026-09-18T21:30:10Z</dc:date>
      <dc:creator>Simon Palmer</dc:creator>
    </item>
    <item>
      <title>The Top Microsoft Ignite Takeaways: AI-First Infrastructure, Data Lakes, and the Future of Enterprise Data</title>
      <link>https://silk.us/blog/microsoft-ignite-top-takeaways-ai-first-infrastructure-data-lakes</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/microsoft-ignite-top-takeaways-ai-first-infrastructure-data-lakes" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Conference.png" alt="The Top Microsoft Ignite Takeaways: AI-First Infrastructure, Data Lakes, and the Future of Enterprise Data" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;Microsoft Ignite made one thing unmistakably clear: we’re entering the era of the AI-first enterprise. Every product, every workload, and every piece of infrastructure is being reshaped around AI acceleration. Whether you’re building customer-facing applications, running mission-critical databases, or storing decades of historical data, the expectations around speed, flexibility, and scale have completely changed.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/microsoft-ignite-top-takeaways-ai-first-infrastructure-data-lakes" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Conference.png" alt="The Top Microsoft Ignite Takeaways: AI-First Infrastructure, Data Lakes, and the Future of Enterprise Data" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;Microsoft Ignite made one thing unmistakably clear: we’re entering the era of the AI-first enterprise. Every product, every workload, and every piece of infrastructure is being reshaped around AI acceleration. Whether you’re building customer-facing applications, running mission-critical databases, or storing decades of historical data, the expectations around speed, flexibility, and scale have completely changed.&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=1964766&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fsilk.us%2Fblog%2Fmicrosoft-ignite-top-takeaways-ai-first-infrastructure-data-lakes&amp;amp;bu=https%253A%252F%252Fsilk.us%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <pubDate>Fri, 18 Sep 2026 21:30:09 GMT</pubDate>
      <author>julie.rubin@silk.us (Julie Rubin)</author>
      <guid>https://silk.us/blog/microsoft-ignite-top-takeaways-ai-first-infrastructure-data-lakes</guid>
      <dc:date>2026-09-18T21:30:09Z</dc:date>
    </item>
    <item>
      <title>Big Endian Conversion While Migrating to Azure | Silk</title>
      <link>https://silk.us/blog/big-endian-conversion-migrating-to-azure</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/big-endian-conversion-migrating-to-azure" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/ServerMonster-01-scaled.jpg" alt="Big Endian Conversion While Migrating to Azure | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;One of the most ‘untouchables’ of the &lt;a href="https://silk.us/resources/bring-untouchable-sql-workloads-to-azure/"&gt;‘untouchable’ workloads&lt;/a&gt; are AIX and Solaris hosted.&amp;nbsp;These are the traditional ‘Big Iron Unix’ go-to platforms for large enterprise workloads. Each is based on a company specific &lt;a href="https://cs.stanford.edu/people/eroberts/courses/soco/projects/risc/whatis/index.html"&gt;RISC&lt;/a&gt; Chip: Power PC in the case of IBM and Sparc for Sun. AIX and Solaris are the correlated Unix&amp;nbsp; OSes for each. A good number of high value, high activity on-premise workloads are still running on these RISC based commercial Unix platforms.&amp;nbsp; These ‘classic’ 64-bit RISC chip-based Unix operating systems are nearly identical to Linux (or rather Linux is nearly functionally identical to them as they pre-date it). But they are of a different word byte order.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/big-endian-conversion-migrating-to-azure" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/ServerMonster-01-scaled.jpg" alt="Big Endian Conversion While Migrating to Azure | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;One of the most ‘untouchables’ of the &lt;a href="https://silk.us/resources/bring-untouchable-sql-workloads-to-azure/"&gt;‘untouchable’ workloads&lt;/a&gt; are AIX and Solaris hosted.&amp;nbsp;These are the traditional ‘Big Iron Unix’ go-to platforms for large enterprise workloads. Each is based on a company specific &lt;a href="https://cs.stanford.edu/people/eroberts/courses/soco/projects/risc/whatis/index.html"&gt;RISC&lt;/a&gt; Chip: Power PC in the case of IBM and Sparc for Sun. AIX and Solaris are the correlated Unix&amp;nbsp; OSes for each. A good number of high value, high activity on-premise workloads are still running on these RISC based commercial Unix platforms.&amp;nbsp; These ‘classic’ 64-bit RISC chip-based Unix operating systems are nearly identical to Linux (or rather Linux is nearly functionally identical to them as they pre-date it). But they are of a different word byte order.&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=1964766&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fsilk.us%2Fblog%2Fbig-endian-conversion-migrating-to-azure&amp;amp;bu=https%253A%252F%252Fsilk.us%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <pubDate>Fri, 18 Sep 2026 21:30:08 GMT</pubDate>
      <guid>https://silk.us/blog/big-endian-conversion-migrating-to-azure</guid>
      <dc:date>2026-09-18T21:30:08Z</dc:date>
      <dc:creator>BJ Lachance</dc:creator>
    </item>
    <item>
      <title>Throughput vs IOPS: Navigating Cloud Performance in 2024 | Silk</title>
      <link>https://silk.us/blog/throughput-vs-iops</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/throughput-vs-iops" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Woman-on-a-cloud.png" alt="Throughput vs IOPS: Navigating Cloud Performance in 2024 | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="font-weight: 400;"&gt;As businesses continue their digital transformations, cloud migration remains a critical priority. Whether you’re an emerging cloud-native startup or a well-established company transitioning legacy systems, optimizing cloud performance is crucial. Key cloud providers like AWS, Microsoft Azure, and Google Cloud have enabled companies to scale faster than ever. However, with increased scalability comes the challenge of ensuring high-performance operations. In this landscape, two fundamental metrics—Throughput and IOPS—are essential to understand for ensuring top-tier cloud performance.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/throughput-vs-iops" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Woman-on-a-cloud.png" alt="Throughput vs IOPS: Navigating Cloud Performance in 2024 | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="font-weight: 400;"&gt;As businesses continue their digital transformations, cloud migration remains a critical priority. Whether you’re an emerging cloud-native startup or a well-established company transitioning legacy systems, optimizing cloud performance is crucial. Key cloud providers like AWS, Microsoft Azure, and Google Cloud have enabled companies to scale faster than ever. However, with increased scalability comes the challenge of ensuring high-performance operations. In this landscape, two fundamental metrics—Throughput and IOPS—are essential to understand for ensuring top-tier cloud performance.&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=1964766&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fsilk.us%2Fblog%2Fthroughput-vs-iops&amp;amp;bu=https%253A%252F%252Fsilk.us%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <pubDate>Fri, 18 Sep 2026 21:30:07 GMT</pubDate>
      <guid>https://silk.us/blog/throughput-vs-iops</guid>
      <dc:date>2026-09-18T21:30:07Z</dc:date>
      <dc:creator>Silk</dc:creator>
    </item>
    <item>
      <title>How Franciscan Health is Using Silk to Revolutionize Patient Care | Silk</title>
      <link>https://silk.us/blog/franciscan-health-ai-transformation</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/franciscan-health-ai-transformation" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Healthcare-image-2.png" alt="How Franciscan Health is Using Silk to Revolutionize Patient Care | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;Franciscan Health, a 12-hospital system serving communities from Indianapolis to Chicago, is leveraging cutting-edge technology to enhance its operations and patient care. Known for its commitment to innovation, Franciscan has embraced telemedicine, virtual care, and advanced analytics to better serve patients wherever they are. Central to this transformation is its strategic partnership with Silk, whose software-defined cloud storage platform has enabled Franciscan to optimize its data infrastructure.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/franciscan-health-ai-transformation" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Healthcare-image-2.png" alt="How Franciscan Health is Using Silk to Revolutionize Patient Care | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;Franciscan Health, a 12-hospital system serving communities from Indianapolis to Chicago, is leveraging cutting-edge technology to enhance its operations and patient care. Known for its commitment to innovation, Franciscan has embraced telemedicine, virtual care, and advanced analytics to better serve patients wherever they are. Central to this transformation is its strategic partnership with Silk, whose software-defined cloud storage platform has enabled Franciscan to optimize its data infrastructure.&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=1964766&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fsilk.us%2Fblog%2Ffranciscan-health-ai-transformation&amp;amp;bu=https%253A%252F%252Fsilk.us%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <pubDate>Fri, 18 Sep 2026 21:30:06 GMT</pubDate>
      <author>julie.rubin@silk.us (Julie Rubin)</author>
      <guid>https://silk.us/blog/franciscan-health-ai-transformation</guid>
      <dc:date>2026-09-18T21:30:06Z</dc:date>
    </item>
    <item>
      <title>Real-Time AI Inference on AWS: Fix the Data Bottleneck with Silk</title>
      <link>https://silk.us/blog/real-time-ai-inference-aws-data-bottleneck</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/real-time-ai-inference-aws-data-bottleneck" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/AIWebsiteImage-02.jpg" alt="Real-Time AI Inference on AWS: Fix the Data Bottleneck with Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="font-weight: 400;"&gt;&lt;span style="font-weight: 400;"&gt;If you listened to &lt;/span&gt;&lt;a href="https://stratechery.com/2026/an-interview-with-nvidia-ceo-jensen-huang-about-accelerated-computing/"&gt;&lt;span style="font-weight: 400;"&gt;Jensen Huang’s recent interview on &lt;em&gt;Stratechery&lt;/em&gt;&lt;/span&gt;&lt;/a&gt;, one thing is abundantly clear: AI has officially crossed the threshold from experimental to operational.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/real-time-ai-inference-aws-data-bottleneck" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/AIWebsiteImage-02.jpg" alt="Real-Time AI Inference on AWS: Fix the Data Bottleneck with Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="font-weight: 400;"&gt;&lt;span style="font-weight: 400;"&gt;If you listened to &lt;/span&gt;&lt;a href="https://stratechery.com/2026/an-interview-with-nvidia-ceo-jensen-huang-about-accelerated-computing/"&gt;&lt;span style="font-weight: 400;"&gt;Jensen Huang’s recent interview on &lt;em&gt;Stratechery&lt;/em&gt;&lt;/span&gt;&lt;/a&gt;, one thing is abundantly clear: AI has officially crossed the threshold from experimental to operational.&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=1964766&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fsilk.us%2Fblog%2Freal-time-ai-inference-aws-data-bottleneck&amp;amp;bu=https%253A%252F%252Fsilk.us%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <pubDate>Fri, 18 Sep 2026 21:30:05 GMT</pubDate>
      <guid>https://silk.us/blog/real-time-ai-inference-aws-data-bottleneck</guid>
      <dc:date>2026-09-18T21:30:05Z</dc:date>
      <dc:creator>Isabella Richard</dc:creator>
    </item>
    <item>
      <title>What is Cloud Performance? | Silk</title>
      <link>https://silk.us/blog/what-is-cloud-performance</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/what-is-cloud-performance" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Group-1-Web-Size.jpg" alt="What is Cloud Performance? | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="font-weight: 400;"&gt;Cloud performance refers to how well your applications, workloads and databases operate on the cloud. Your underlying cloud infrastructure should support your business objectives. In today’s digital age, speed matters. On the cloud, &lt;em&gt;performance is everything&lt;/em&gt;.&amp;nbsp;Cloud performance allows you to remain competitive as a business.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/what-is-cloud-performance" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Group-1-Web-Size.jpg" alt="What is Cloud Performance? | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="font-weight: 400;"&gt;Cloud performance refers to how well your applications, workloads and databases operate on the cloud. Your underlying cloud infrastructure should support your business objectives. In today’s digital age, speed matters. On the cloud, &lt;em&gt;performance is everything&lt;/em&gt;.&amp;nbsp;Cloud performance allows you to remain competitive as a business.&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=1964766&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fsilk.us%2Fblog%2Fwhat-is-cloud-performance&amp;amp;bu=https%253A%252F%252Fsilk.us%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <pubDate>Fri, 18 Sep 2026 21:30:04 GMT</pubDate>
      <guid>https://silk.us/blog/what-is-cloud-performance</guid>
      <dc:date>2026-09-18T21:30:04Z</dc:date>
      <dc:creator>Silk</dc:creator>
    </item>
    <item>
      <title>Cloud Storage for AI: Key Considerations, Options, and Best Choice | Silk</title>
      <link>https://silk.us/blog/cloud-storage-for-ai</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/cloud-storage-for-ai" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Cloud-Connected-to-Devices-4.png" alt="Cloud Storage for AI: Key Considerations, Options, and Best Choice | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;Artificial intelligence (AI) is only as good as the data it runs on. Whether you’re training massive language models, fine-tuning predictive algorithms, or running real-time inference, your data needs a home that can keep up. That’s where cloud storage for AI comes in. Choosing the right storage isn’t just about capacity — it’s about speed, scalability, integration, and cost-effectiveness.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/cloud-storage-for-ai" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Cloud-Connected-to-Devices-4.png" alt="Cloud Storage for AI: Key Considerations, Options, and Best Choice | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;Artificial intelligence (AI) is only as good as the data it runs on. Whether you’re training massive language models, fine-tuning predictive algorithms, or running real-time inference, your data needs a home that can keep up. That’s where cloud storage for AI comes in. Choosing the right storage isn’t just about capacity — it’s about speed, scalability, integration, and cost-effectiveness.&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=1964766&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fsilk.us%2Fblog%2Fcloud-storage-for-ai&amp;amp;bu=https%253A%252F%252Fsilk.us%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <pubDate>Fri, 18 Sep 2026 21:30:03 GMT</pubDate>
      <author>julie.rubin@silk.us (Julie Rubin)</author>
      <guid>https://silk.us/blog/cloud-storage-for-ai</guid>
      <dc:date>2026-09-18T21:30:03Z</dc:date>
    </item>
    <item>
      <title>5 Challenges of Migrating Oracle Workloads to Azure | Silk</title>
      <link>https://silk.us/blog/5-challenges-of-migrating-oracle-workloads-to-azure</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/5-challenges-of-migrating-oracle-workloads-to-azure" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Group-2-copy.jpg" alt="5 Challenges of Migrating Oracle Workloads to Azure | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;The Oracle database is widely used around the globe for mission-critical applications and migrating Oracle workloads to the public cloud requires significant planning and testing. This blog examines the 5 challenges of migrating Oracle database workloads to Microsoft Azure and how to solve them.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/5-challenges-of-migrating-oracle-workloads-to-azure" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Group-2-copy.jpg" alt="5 Challenges of Migrating Oracle Workloads to Azure | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;The Oracle database is widely used around the globe for mission-critical applications and migrating Oracle workloads to the public cloud requires significant planning and testing. This blog examines the 5 challenges of migrating Oracle database workloads to Microsoft Azure and how to solve them.&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=1964766&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fsilk.us%2Fblog%2F5-challenges-of-migrating-oracle-workloads-to-azure&amp;amp;bu=https%253A%252F%252Fsilk.us%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <pubDate>Fri, 18 Sep 2026 21:30:02 GMT</pubDate>
      <guid>https://silk.us/blog/5-challenges-of-migrating-oracle-workloads-to-azure</guid>
      <dc:date>2026-09-18T21:30:02Z</dc:date>
      <dc:creator>Silk</dc:creator>
    </item>
    <item>
      <title>Unlocking Database Performance: Tips for Optimization | Silk</title>
      <link>https://silk.us/blog/unlocking-database-performance-tips-for-optimization</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/unlocking-database-performance-tips-for-optimization" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Stock-Chart-4.png" alt="Unlocking Database Performance: Tips for Optimization | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="font-weight: 400;"&gt;Data is at the core of every business application. Because of this, database performance optimization is crucial for you and your team. Optimization begins with setting your primary goals (e.g. 95th percentile &amp;lt;10ms query response) and then looking at what tuning can impact that goal or KPI. Cloud database performance is a set of trade-offs between performance, efficiency, and costs.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://silk.us/blog/unlocking-database-performance-tips-for-optimization" title="" class="hs-featured-image-link"&gt; &lt;img src="https://silk.us/hubfs/Imported_Blog_Media/Stock-Chart-4.png" alt="Unlocking Database Performance: Tips for Optimization | Silk" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="font-weight: 400;"&gt;Data is at the core of every business application. Because of this, database performance optimization is crucial for you and your team. Optimization begins with setting your primary goals (e.g. 95th percentile &amp;lt;10ms query response) and then looking at what tuning can impact that goal or KPI. Cloud database performance is a set of trade-offs between performance, efficiency, and costs.&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=1964766&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fsilk.us%2Fblog%2Funlocking-database-performance-tips-for-optimization&amp;amp;bu=https%253A%252F%252Fsilk.us%252Fblog&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <pubDate>Fri, 18 Sep 2026 21:30:01 GMT</pubDate>
      <guid>https://silk.us/blog/unlocking-database-performance-tips-for-optimization</guid>
      <dc:date>2026-09-18T21:30:01Z</dc:date>
      <dc:creator>Silk</dc:creator>
    </item>
  </channel>
</rss>
