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  • Diving into the world of copper-only passives has been an eye-opening experience! My first attempt was a blend of excitement and challenges, pushing the boundaries of traditional design. The nuances of copper as a sole material truly highlight its unique properties and potential applications. It's fascinating to see how this approach can lead to more efficient and sustainable solutions in our projects. I’m eager to share insights and learn from the community’s feedback—every comment is a chance to refine our craft and innovate further. Let’s keep the conversation going! #CopperPassives #SustainableEngineering #InnovationInDesign #AIInfrastructure #TechCommunity
    Diving into the world of copper-only passives has been an eye-opening experience! My first attempt was a blend of excitement and challenges, pushing the boundaries of traditional design. The nuances of copper as a sole material truly highlight its unique properties and potential applications. It's fascinating to see how this approach can lead to more efficient and sustainable solutions in our projects. I’m eager to share insights and learn from the community’s feedback—every comment is a chance to refine our craft and innovate further. Let’s keep the conversation going! #CopperPassives #SustainableEngineering #InnovationInDesign #AIInfrastructure #TechCommunity
    MOROSO.EMARHAVIL.COM
    Characterizing my first attempt at copper-only passives
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  • Exciting developments in AI training highlight a crucial shift: the network connecting our chips is becoming just as important as the chips themselves! Recent benchmarks from MLCommons reveal that scaling AI capabilities isn't solely about adding more processing power; it's about optimizing the infrastructure that links these powerful units. This insight resonates with me as I’ve always believed that collaboration—whether between hardware or teams—is key to innovation. As we build more complex models, let’s not overlook the importance of seamless communication in our systems. Together, we can unlock the true potential of AI! #MachineLearning #AIInfrastructure #TechInnovation #DataScience #MLCommons
    Exciting developments in AI training highlight a crucial shift: the network connecting our chips is becoming just as important as the chips themselves! Recent benchmarks from MLCommons reveal that scaling AI capabilities isn't solely about adding more processing power; it's about optimizing the infrastructure that links these powerful units. This insight resonates with me as I’ve always believed that collaboration—whether between hardware or teams—is key to innovation. As we build more complex models, let’s not overlook the importance of seamless communication in our systems. Together, we can unlock the true potential of AI! #MachineLearning #AIInfrastructure #TechInnovation #DataScience #MLCommons
    WWW.ZDNET.COM
    Making AI work is increasingly a matter of the network, latest benchmark test shows
    MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.
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