Experimental News Clipping Site

Tag: Tensor Processing Units

  • Cloud Blog: Day 1 at Google Cloud Next 25 recap

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-day-1-recap/ Source: Cloud Blog Title: Day 1 at Google Cloud Next 25 recap Feedly Summary: Hello from Google Cloud Next 25 in Las Vegas! This year, it’s all about how AI can reimagine work and improve our lives — even bringing Hollywood classics like The Wizard of Oz to life on one of…

  • Cloud Blog: Rice University and Google Public Sector partner to build an innovation hub in Texas

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/public-sector/rice-university-and-google-public-sector-partner-to-build-an-innovation-hub-in-texas/ Source: Cloud Blog Title: Rice University and Google Public Sector partner to build an innovation hub in Texas Feedly Summary: Rice University and Google Public Sector are partnering to launch the Rice AI Venture Accelerator (RAVA), designed to drive early-stage AI innovation and commercialization. This collaboration enables RAVA to connect AI-first startups…

  • Cloud Blog: Dynamic 5G services, made possible by AI and intent-based automation

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/telecommunications/how-dynamic-5g-services-are-possible-with-ai/ Source: Cloud Blog Title: Dynamic 5G services, made possible by AI and intent-based automation Feedly Summary: The emergence of 5G networks opens a new frontier for connectivity, enabling advanced use cases that require ultra-low-latency, enhanced mobile broadband, and the Internet of Things (IoT) at scale. However, behind the promise of this hyper-connected…

  • Hacker News: How to Scale Your Model: A Systems View of LLMs on TPUs

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    Kurt Seifried
    in

    Source URL: https://jax-ml.github.io/scaling-book/ Source: Hacker News Title: How to Scale Your Model: A Systems View of LLMs on TPUs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the performance optimization of large language models (LLMs) on tensor processing units (TPUs), addressing issues related to scaling and efficiency. It emphasizes the importance…

  • Cloud Blog: New year, new updates to AI Hypercomputer

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/a3-ultra-with-nvidia-h200-gpus-are-ga-on-ai-hypercomputer/ Source: Cloud Blog Title: New year, new updates to AI Hypercomputer Feedly Summary: The last few weeks of 2024 were exhilarating as we worked to bring you multiple advancements in AI infrastructure, including the general availability of Trillium, our sixth-generation TPU, A3 Ultra VMs powered by NVIDIA H200 GPUs, support for up…

  • Hacker News: Amidst the Noise and Haste, Google Has Successfully Pulled a SpaceX

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    Kurt Seifried
    in

    Source URL: https://markmaunder.com/2025/amidst-the-noise-and-haste-google-has-successfully-pulled-a-spacex/ Source: Hacker News Title: Amidst the Noise and Haste, Google Has Successfully Pulled a SpaceX Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a detailed timeline of Google’s advancements in AI hardware, specifically TPUs, and their strategic approach to vertical integration within the tech supply chain. It contrasts…

  • The Register: Boffins trick AI model into giving up its secrets

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    system automation
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    Source URL: https://www.theregister.com/2024/12/18/ai_model_reveal_itself/ Source: The Register Title: Boffins trick AI model into giving up its secrets Feedly Summary: All it took to make an Google Edge TPU give up model hyperparameters was specific hardware, a novel attack technique … and several days Computer scientists from North Carolina State University have devised a way to copy…

  • Cloud Blog: Announcing the general availability of Trillium, our sixth-generation TPU

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    system automation
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    Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…