Experimental News Clipping Site

Tag: Tensor Processing Unit

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

    —

    by

    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

    —

    by

    system automation
    in

    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…

  • Slashdot: Google Unveils Gemini 2.0

    —

    by

    system automation
    in

    Source URL: https://tech.slashdot.org/story/24/12/12/2129245/google-unveils-gemini-20 Source: Slashdot Title: Google Unveils Gemini 2.0 Feedly Summary: AI Summary and Description: Yes **Summary:** Google has launched Gemini 2.0, enhancing its AI capabilities with multimodal functionalities, real-time tool use, and advanced reasoning to foster unique experiences. This upgrade features notable projects like Project Astra and specialized agents for automation, supported by…

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

    —

    by

    system automation
    in

    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…

  • Cloud Blog: Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/moloco-uses-gke-and-tpus-for-ml-workloads/ Source: Cloud Blog Title: Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine Feedly Summary: In today’s congested digital landscape, businesses of all sizes face the challenge of optimizing their marketing budgets. They must find ways to stand out amid the bombardment of messages vying for potential customers’ attention.…

  • Cloud Blog: What’s new with HPC and AI infrastructure at Google Cloud

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/topics/hpc/whats-new-with-hpc/ Source: Cloud Blog Title: What’s new with HPC and AI infrastructure at Google Cloud Feedly Summary: At Google Cloud, we’re rapidly advancing our high-performance computing (HPC) capabilities, providing researchers and engineers with powerful tools and infrastructure to tackle the most demanding computational challenges. Here’s a look at some of the key developments…

  • Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…