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Tag: checkpointing

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

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    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: Introducing Ironwood TPUs and new innovations in AI Hypercomputer

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/whats-new-with-ai-hypercomputer/ Source: Cloud Blog Title: Introducing Ironwood TPUs and new innovations in AI Hypercomputer Feedly Summary: Today’s innovation isn’t born in a lab or at a drafting board; it’s built on the bedrock of AI infrastructure. AI workloads have new and unique demands — addressing these requires a finely crafted combination of hardware…

  • Cloud Blog: Anyscale powers AI compute for any workload using Google Compute Engine

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/anyscale-powers-ai-compute-for-any-workload-using-google-compute-engine/ Source: Cloud Blog Title: Anyscale powers AI compute for any workload using Google Compute Engine Feedly Summary: Over the past decade, AI has evolved at a breakneck pace, turning from a futuristic dream into a tool now accessible to everyone. One of the technologies that opened up this new era of AI…

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

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    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: Five tips and tricks to improve your AI workloads

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/reduce-cost-and-improve-your-ai-workloads/ Source: Cloud Blog Title: Five tips and tricks to improve your AI workloads Feedly Summary: Recently, we announced Gemini Code Assist for individuals, a free version of our AI coding assistant. Technology that was previously available only to the biggest enterprises is now within reach for startups and individual developers. The same…

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

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    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…