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Showing posts with the label and Open Networking Explained

YouTube’s New AI Search Feature Is a Content Discovery Game-Changer

YouTube’s New AI Search Carousel Is Changing How We Discover Videos — Here’s What You Need to Know You know that moment when you type something like “best cafés in Paris” into YouTube, and you’re buried under a flood of random vlogs, listicles, and unrelated reviews? Yeah, we’ve all been there. But that chaotic hunt for the right video might soon be a thing of the past. YouTube just rolled out an AI-powered search carousel — and it’s not just another shiny feature. It’s a smart, intuitive, and (honestly) much-needed step forward that could completely change how we search for and interact with video content. Let me break it down — not like a press release, but like someone who geeks out about this stuff and actually uses YouTube every day. --- What Is YouTube’s AI Search Carousel? In simple terms: YouTube now shows an AI-generated video carousel when you search for things like: Travel recommendations Local activities and attractions Shopping inspirati...

AMD’s AI Revolution: ROCm 7, MI350, and Open Networking Explained

AMD Is Rewriting the Rules of AI: Can Nvidia Keep Up? In the fast-evolving world of AI infrastructure, dominance is never guaranteed — and AMD is proving exactly that. While Nvidia has long reigned supreme in the AI hardware race, a new chapter is unfolding. From blistering MLPerf training results to a radically open software stack and game-changing networking innovations, AMD isn’t just catching up — it’s redefining what leadership looks like in the AI era. Breaking Records: AMD’s Liquid-Cooled Leap in MLPerf For the first time, AMD's Instinct MI325X platform, backed by advanced liquid cooling, posted a record-setting 21.75-minute time-to-train score on MLPerf. This isn’t just about raw numbers — it’s a validation of efficient scaling, thermal breakthroughs, and a smarter approach to high-performance computing. But perhaps more impressive is what came next: MangoBoost’s 2-node and 4-node MI300X submissions, which clocked in at 16.32 and 10.92 mi...