Experimental News Clipping Site

Tag: Google Cloud Storage

  • Cloud Blog: Colossus: the secret ingredient in Rapid Storage’s high performance

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/how-the-colossus-stateful-protocol-benefits-rapid-storage/ Source: Cloud Blog Title: Colossus: the secret ingredient in Rapid Storage’s high performance Feedly Summary: As an object storage service, Google Cloud Storage is popular for its simplicity and scale, a big part of which is due to the stateless REST protocols that you can use to read and write data. But…

  • Cloud Blog: Formula E’s AI equation: New Driver Agent boosts next generation of racers

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/formula-e-ai-equation-a-new-driver-agent-for-the-next-generation-of-racers/ Source: Cloud Blog Title: Formula E’s AI equation: New Driver Agent boosts next generation of racers Feedly Summary: By its very nature, Formula E has always been driven by innovation, bringing the next-generation of vehicle power to the racing circuit. An equally important mission has been democratizing access to these new technologies. …

  • Cloud Blog: Speed up checkpoint loading time at scale using Orbax on JAX

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/unlock-faster-workload-start-time-using-orbax-on-jax/ Source: Cloud Blog Title: Speed up checkpoint loading time at scale using Orbax on JAX Feedly Summary: Imagine training a new AI / ML model like Gemma 3 or Llama 3.3 across hundreds of powerful accelerators like TPUs or GPUs to achieve a scientific breakthrough. You might have a team of powerful…

  • Cloud Blog: Accelerate AI/ML workloads using Cloud Storage hierarchical namespace

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/cloud-storage-hierarchical-namespace-improves-aiml-checkpointing/ Source: Cloud Blog Title: Accelerate AI/ML workloads using Cloud Storage hierarchical namespace Feedly Summary: As AI and machine learning (ML) workloads continue to grow, the infrastructure supporting them must evolve to meet their unique demands. Here on the Google Cloud Storage team, we’re committed to providing AI/ML practitioners with tools to optimize…

  • Cloud Blog: How L’Oréal Tech Accelerator built its end-to-end MLOps platform

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-loreals-tech-accelerator-built-its-end-to-end-mlops-platform/ Source: Cloud Blog Title: How L’Oréal Tech Accelerator built its end-to-end MLOps platform Feedly Summary: Technology has transformed our lives and social interactions at an unprecedented speed and scale, creating new opportunities. To adapt to this reality, L’Oréal has established itself as a leader in Beauty Tech, promoting personalized, inclusive, and responsible…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

  • Cloud Blog: Enhance viewer engagement with gen AI-powered scene detection for ads

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/use-ai-powered-scene-detection-for-more-effective-ad-placement/ Source: Cloud Blog Title: Enhance viewer engagement with gen AI-powered scene detection for ads Feedly Summary: Online video consumption has skyrocketed. A staggering 1.8 billion people globally subscribed to streaming services in 20231, and 92% of internet users worldwide watched online videos every month in 20242. This growth creates a significant opportunity…