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    <title><![CDATA[StreamingMeme — Visionular coverage]]></title>
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    <description><![CDATA[Articles mentioning Visionular.]]></description>
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      <title><![CDATA[StreamingMeme — Visionular coverage]]></title>
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      <title><![CDATA[Visionular and Infratel Solutions partner for AI-powered DVB and OTT transcoding]]></title>
      <link><![CDATA[https://content-technology.com/ibc/visionular-and-infratel-solutions-partner/]]></link>
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      <pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ENCODING_AND_SOFTWARE]]></category>
      <description><![CDATA[Visionular has partnered with Infratel Solutions to integrate its AuroraFlex AI-powered transcoder into DVB and OTT video workflows. The collaboration aims to help operators reduce bitrate requirements by up to 50% while maintaining visual quality for H.264 and HEVC delivery.]]></description>
      <content:encoded><![CDATA[Visionular has partnered with Infratel Solutions to integrate its AuroraFlex AI-powered transcoder into DVB and OTT video workflows. The collaboration aims to help operators reduce bitrate requirements by up to 50% while maintaining visual quality for H.264 and HEVC delivery.]]></content:encoded>
      <dc:creator><![CDATA[Content+Technology]]></dc:creator>
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      <title><![CDATA[Visionular Achieves 40% Cost Savings for AI Video Infrastructure via Akamai]]></title>
      <link><![CDATA[https://www.linkedin.com/posts/aas83_rising-cloud-costs-and-complex-ai-powered-activity-7443312418979717120-krlk?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAGV-a50BUMApQrJcHJJnOmBzwIv1cYfnJ-A]]></link>
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      <pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[The post claims Visionular Inc. faced margin and performance pressure from rising cloud costs and complex AI-driven video workloads. It states Akamai Technologies helped Visionular cut costs by 40%, reduce latency, and scale its AI video infrastructure, with a link to further details.]]></description>
      <content:encoded><![CDATA[The post claims Visionular Inc. faced margin and performance pressure from rising cloud costs and complex AI-driven video workloads. It states Akamai Technologies helped Visionular cut costs by 40%, reduce latency, and scale its AI video infrastructure, with a link to further details.]]></content:encoded>
      <dc:creator><![CDATA[André Ambrósio]]></dc:creator>
      <author><![CDATA[André Ambrósio]]></author>
      
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      <title><![CDATA[Visionular Leverages Akamai to Optimize AI Video Workloads and Reduce Cloud Costs]]></title>
      <link><![CDATA[https://www.linkedin.com/posts/fred-weston-7a0743_rising-cloud-costs-and-complex-ai-powered-activity-7442586617812422656-ITwz?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAGPmBuwBKBuLpcQ9FY960rZ5J2kvlxGyCTU]]></link>
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      <pubDate>Wed, 25 Mar 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[The post states that Visionular Inc. faced rising cloud costs and increasing complexity from AI-powered video workloads that impacted margins and performance. It claims Akamai Technologies helped Visionular reduce cloud costs by 40%, lower latency, and improve scalability, referencing a linked case study.]]></description>
      <content:encoded><![CDATA[The post states that Visionular Inc. faced rising cloud costs and increasing complexity from AI-powered video workloads that impacted margins and performance. It claims Akamai Technologies helped Visionular reduce cloud costs by 40%, lower latency, and improve scalability, referencing a linked case study.]]></content:encoded>
      <dc:creator><![CDATA[Fred Weston]]></dc:creator>
      <author><![CDATA[Fred Weston]]></author>
      
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      <title><![CDATA[Visionular Partners with Akamai to Optimize AI-Powered Video Workflows]]></title>
      <link><![CDATA[https://www.linkedin.com/posts/katarzyna-sajna_rising-cloud-costs-and-complex-ai-powered-activity-7442581518465794048-bf0r?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAGWa8aUBW36t-bdgi7XUlaslwgEWz3amq_E]]></link>
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      <pubDate>Wed, 25 Mar 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[VIDEO_DELIVERY_AND_CDN]]></category>
      <description><![CDATA[The post states that Visionular Inc. partnered with Akamai Technologies to optimize AI-powered video workflows amid rising cloud costs and increased workload complexity. It claims the collaboration helped reduce costs by 40%, lower latency, and improve scalability for Visionular’s video processing operations.]]></description>
      <content:encoded><![CDATA[The post states that Visionular Inc. partnered with Akamai Technologies to optimize AI-powered video workflows amid rising cloud costs and increased workload complexity. It claims the collaboration helped reduce costs by 40%, lower latency, and improve scalability for Visionular’s video processing operations.]]></content:encoded>
      <dc:creator><![CDATA[Katarzyna Sajna]]></dc:creator>
      <author><![CDATA[Katarzyna Sajna]]></author>
      
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      <title><![CDATA[What I've learned about video compression: Post 5]]></title>
      <link><![CDATA[https://www.linkedin.com/posts/paolocuttorelli_av1-videostreaming-codecs-activity-7441699158282969088-DwOP?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAGUC_n0BqiWE2abOSrY-ry78QZ8OL1j2qtw]]></link>
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      <pubDate>Mon, 23 Mar 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ENCODING_AND_SOFTWARE]]></category>
      <description><![CDATA[The post argues that AV1 has reached a broad adoption “tipping point,” citing widespread hardware decode support in flagship chips, universal major browser support, and usage metrics including Netflix delivering 30% of its traffic in AV1 and YouTube converting over 75% of its catalog. It describes codec adoption progressing from software decode (e.g., dav1d) to silicon integration across devices, stating the industry is now well into the hardware phase. The author also promotes Visionular’s AV1 encoder (Aurora1) and claims it outperforms alternatives in benchmarks.]]></description>
      <content:encoded><![CDATA[The post argues that AV1 has reached a broad adoption “tipping point,” citing widespread hardware decode support in flagship chips, universal major browser support, and usage metrics including Netflix delivering 30% of its traffic in AV1 and YouTube converting over 75% of its catalog. It describes codec adoption progressing from software decode (e.g., dav1d) to silicon integration across devices, stating the industry is now well into the hardware phase. The author also promotes Visionular’s AV1 encoder (Aurora1) and claims it outperforms alternatives in benchmarks.]]></content:encoded>
      <dc:creator><![CDATA[Paolo Cuttorelli]]></dc:creator>
      <author><![CDATA[Paolo Cuttorelli]]></author>
      
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    <item>
      <title><![CDATA[What I've learned about video compression: Post 5]]></title>
      <link><![CDATA[https://www.linkedin.com/posts/paolocuttorelli_av1-videostreaming-codecs-activity-7441699158282969088-DwOP?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAGYLaS0B8IlBRpyfgXRMCyuH6iuY_GZ1Zek]]></link>
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      <pubDate>Mon, 23 Mar 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ENCODING_AND_SOFTWARE]]></category>
      <description><![CDATA[The post argues that AV1 codec adoption has reached a “tipping point,” citing widespread hardware decoding support from major chipmakers and broad browser support. It cites platform adoption figures including Netflix delivering 30% of its traffic in AV1 (per a Dec 2025 Netflix Tech Blog post), YouTube converting over 75% of its catalog to AV1, and Meta properties (Facebook, Instagram, Messenger) seeing over 70% of global video watch in AV1 (attributed to a joint Meta/Google/Vodafone white paper). It also claims AV1 is royalty-free and provides materially better compression efficiency than H.264/H.265, and notes Visionular’s commercial AV1 encoder (Aurora1) as an example of production pipeline readiness.]]></description>
      <content:encoded><![CDATA[The post argues that AV1 codec adoption has reached a “tipping point,” citing widespread hardware decoding support from major chipmakers and broad browser support. It cites platform adoption figures including Netflix delivering 30% of its traffic in AV1 (per a Dec 2025 Netflix Tech Blog post), YouTube converting over 75% of its catalog to AV1, and Meta properties (Facebook, Instagram, Messenger) seeing over 70% of global video watch in AV1 (attributed to a joint Meta/Google/Vodafone white paper). It also claims AV1 is royalty-free and provides materially better compression efficiency than H.264/H.265, and notes Visionular’s commercial AV1 encoder (Aurora1) as an example of production pipeline readiness.]]></content:encoded>
      <dc:creator><![CDATA[Paolo Cuttorelli]]></dc:creator>
      <author><![CDATA[Paolo Cuttorelli]]></author>
      
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      <title><![CDATA[AV1 for RTC: x264 vs. Aurora1 AV1 - Visionular]]></title>
      <link><![CDATA[https://visionular.ai/av1-for-rtc/]]></link>
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      <pubDate>Fri, 01 Mar 2024 00:00:00 GMT</pubDate>
      <category><![CDATA[ENCODING_AND_SOFTWARE]]></category>
      <description><![CDATA[Visionular compares its Aurora1 AV1 encoder against x264 (H.264) for real-time communications (RTC) and WebRTC-oriented use cases, emphasizing screen content coding (SCC) and temporal scalability. The article reports internal test results claiming large BD-rate bitrate reductions versus x264 for 1080p screen content at real-time speeds on CPU, and additional comparisons for camera content on a PC CPU and for low-resolution mobile encoding on a Snapdragon 845 versus x264 and libvpx-VP9.]]></description>
      <content:encoded><![CDATA[Visionular compares its Aurora1 AV1 encoder against x264 (H.264) for real-time communications (RTC) and WebRTC-oriented use cases, emphasizing screen content coding (SCC) and temporal scalability. The article reports internal test results claiming large BD-rate bitrate reductions versus x264 for 1080p screen content at real-time speeds on CPU, and additional comparisons for camera content on a PC CPU and for low-resolution mobile encoding on a Snapdragon 845 versus x264 and libvpx-VP9.]]></content:encoded>
      <dc:creator><![CDATA[Visionular]]></dc:creator>
      <author><![CDATA[Visionular]]></author>
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