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Tag: large-scale models

  • Cloud Blog: Taming the stragglers: Maximize AI training performance with automated straggler detection

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/stragglers-in-ai-a-guide-to-automated-straggler-detection/ Source: Cloud Blog Title: Taming the stragglers: Maximize AI training performance with automated straggler detection Feedly Summary: Stragglers are an industry-wide issue for developers working with large-scale machine learning workloads. The larger and more powerful these systems become, the more their performance is hostage to the subtle misbehavior of a single component.…

  • Cloud Blog: Build with more flexibility: New open models arrive in the Vertex AI Model Garden

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deepseek-r1-is-available-for-everyone-in-vertex-ai-model-garden/ Source: Cloud Blog Title: Build with more flexibility: New open models arrive in the Vertex AI Model Garden Feedly Summary: In our ongoing effort to provide businesses with the flexibility and choice needed to build innovative AI applications, we are expanding the catalog of open models available as Model-as-a-Service (MaaS) offerings in…

  • The Register: How Broadcom is quietly plotting a takeover of the AI infrastructure market

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/06/27/broadcom_ai_ip/ Source: The Register Title: How Broadcom is quietly plotting a takeover of the AI infrastructure market Feedly Summary: When AI is a nesting doll of networks, so why reinvent the wheel when you can license it instead feature GPUs dominate the conversation when it comes to AI infrastructure. But while they’re an…

  • Cloud Blog: Announcing new Vertex AI Prediction Dedicated Endpoints

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/reliable-ai-with-vertex-ai-prediction-dedicated-endpoints/ Source: Cloud Blog Title: Announcing new Vertex AI Prediction Dedicated Endpoints Feedly Summary: For AI developers building cutting-edge applications with large model sizes, a reliable foundation is non-negotiable. You need your AI to perform consistently, delivering results without hiccups, even under pressure. This means having dedicated resources that won’t get bogged down…

  • 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…

  • Hacker News: Emil’s Story as a Self-Taught AI Researcher (2020)

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    Kurt Seifried
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    Source URL: https://floydhub.ghost.io/emils-story-as-a-self-taught-ai-researcher/ Source: Hacker News Title: Emil’s Story as a Self-Taught AI Researcher (2020) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text details an interview with Emil Wallner, a self-taught AI researcher, shedding light on his unconventional journey in the field of machine learning and the importance of self-education in acquiring…

  • The Register: AI datacenters putting zero emissions promises out of reach

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/01/16/ai_datacenters_putting_zero_emissions/ Source: The Register Title: AI datacenters putting zero emissions promises out of reach Feedly Summary: Plus: Bit barns’ demand for water, land, and power could breed ‘growing opposition’ from residents The datacenter industry looks set for a turbulent 2025 as AI growth threatens to trump sustainability commitments and authorities are likely to…

  • Hacker News: ‘Thirsty’ ChatGPT uses four times more water than previously thought

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    system automation
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    Source URL: https://www.thetimes.com/uk/technology-uk/article/thirsty-chatgpt-uses-four-times-more-water-than-previously-thought-bc0pqswdr Source: Hacker News Title: ‘Thirsty’ ChatGPT uses four times more water than previously thought Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the increasing water consumption associated with the operation of AI-powered data centers, particularly those supporting models like ChatGPT. Recent findings highlight that water usage is underestimated…