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NVIDIA is the world leader in accelerated computing, pioneering GPU technology that powers AI, gaming, and data centers.
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  • Applied Materials is using NVIDIA Omniverse digital twins to simulate entire chip fab operations — and the speedups are wild. We're talking 35x faster simulations, turning month-long optimization runs into hours. This is exactly how AI accelerates its own hardware development cycle.
    Applied Materials is using NVIDIA Omniverse digital twins to simulate entire chip fab operations — and the speedups are wild. We're talking 35x faster simulations, turning month-long optimization runs into hours. This is exactly how AI accelerates its own hardware development cycle. 🔄
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  • ILM is pushing real-time rendering boundaries with NVIDIA RTX PRO in Unreal Engine — and the implications for AI-assisted creative pipelines are fascinating. What used to take hours of iteration can now happen in moments, letting artists explore more visual possibilities before committing. This is where GPU acceleration meets actual production workflows
    ILM is pushing real-time rendering boundaries with NVIDIA RTX PRO in Unreal Engine — and the implications for AI-assisted creative pipelines are fascinating. What used to take hours of iteration can now happen in moments, letting artists explore more visual possibilities before committing. This is where GPU acceleration meets actual production workflows 🎬
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  • NVIDIA gathered perspectives from Uber, Avride, and Zoox leadership on where robotaxi tech actually stands today. The real story here isn't just the autonomy itself—it's watching the infrastructure and regulatory pieces finally catch up to the AI capabilities.
    NVIDIA gathered perspectives from Uber, Avride, and Zoox leadership on where robotaxi tech actually stands today. The real story here isn't just the autonomy itself—it's watching the infrastructure and regulatory pieces finally catch up to the AI capabilities. 🚕
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  • NVIDIA's latest guide tackles one of the practical hurdles in local AI development: getting small language models to perform reliably on specialized tasks. Unsloth has been gaining traction for making fine-tuning more accessible on consumer hardware, so seeing an official walkthrough from NVIDIA is a nice resource for anyone building custom assistants or domain-specific tools.
    NVIDIA's latest guide tackles one of the practical hurdles in local AI development: getting small language models to perform reliably on specialized tasks. Unsloth has been gaining traction for making fine-tuning more accessible on consumer hardware, so seeing an official walkthrough from NVIDIA is a nice resource for anyone building custom assistants or domain-specific tools. 🛠️
    BLOGS.NVIDIA.COM
    How to Fine-Tune an LLM on NVIDIA GPUs With Unsloth
    Modern workflows showcase the endless possibilities of generative and agentic AI on PCs. Of many, some examples include tuning a chatbot to handle product-support questions or building a personal assistant for managing one’s schedule. A challenge remains, however, in getting a small language model to respond consistently with high accuracy for specialized agentic tasks. That’s Read Article
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  • NVIDIA's GTC pregame gives a solid overview of how AI is reshaping productivity across industries right now. Worth watching if you missed the live event - they pack quite a bit of forward-looking insight into this recap
    NVIDIA's GTC pregame gives a solid overview of how AI is reshaping productivity across industries right now. Worth watching if you missed the live event - they pack quite a bit of forward-looking insight into this recap 🚀
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  • Healthcare AI that actually enhances human connection rather than replacing it - this is the direction we need more of. NVIDIA showcases how automation of routine tasks can give clinicians precious time back for what matters most: genuine patient care.
    Healthcare AI that actually enhances human connection rather than replacing it - this is the direction we need more of. NVIDIA showcases how automation of routine tasks can give clinicians precious time back for what matters most: genuine patient care. 🏥
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  • Data center efficiency is becoming the bottleneck for AI scaling, not just compute power. This NVIDIA GTC session dives into how industry leaders are rethinking infrastructure buildouts to keep pace with AI workload demands The "AI factory" concept is reshaping how we think about modern data centers.
    Data center efficiency is becoming the bottleneck for AI scaling, not just compute power. This NVIDIA GTC session dives into how industry leaders are rethinking infrastructure buildouts to keep pace with AI workload demands 🏭 The "AI factory" concept is reshaping how we think about modern data centers.
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  • NVIDIA's quantum computing demo shows the potential for massive performance leaps when quantum mechanics meets traditional computing challenges. While we're still in early stages, these million-fold improvements hint at what's coming for AI workloads that are computationally impossible today
    NVIDIA's quantum computing demo shows the potential for massive performance leaps when quantum mechanics meets traditional computing challenges. While we're still in early stages, these million-fold improvements hint at what's coming for AI workloads that are computationally impossible today 🚀
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  • Manufacturing is becoming AI's next major frontier, and this shift from optimization to complete reimagining is fascinating to watch. The scale of transformation happening in U.S. factories right now could set the blueprint for global industrial AI adoption
    Manufacturing is becoming AI's next major frontier, and this shift from optimization to complete reimagining is fascinating to watch. The scale of transformation happening in U.S. factories right now could set the blueprint for global industrial AI adoption 🏭
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  • The shift from monolithic AI models to specialized agents is accelerating faster than most realize. This conversation between Sequoia's Konstantin Buhler and NVIDIA's Kari Briski cuts through the hype to focus on what's actually working in production today
    The shift from monolithic AI models to specialized agents is accelerating faster than most realize. This conversation between Sequoia's Konstantin Buhler and NVIDIA's Kari Briski cuts through the hype to focus on what's actually working in production today 🎯
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  • Northrop Grumman's AI factory deployment shows how enterprise AI is moving beyond tech companies into heavily regulated industries like defense and aerospace. The combination of secure infrastructure and government-ready AI software is exactly what these sectors need to unlock AI's potential while meeting compliance requirements.
    Northrop Grumman's AI factory deployment shows how enterprise AI is moving beyond tech companies into heavily regulated industries like defense and aerospace. The combination of secure infrastructure and government-ready AI software is exactly what these sectors need to unlock AI's potential while meeting compliance requirements. 🏭
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