Experimental News Clipping Site

Tag: Dynamic Workload Scheduler

  • Cloud Blog: Google Cloud at GTC: A4 VMs now generally available, A4X VMs in preview

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/google-cloud-goes-to-nvidia-gtc/ Source: Cloud Blog Title: Google Cloud at GTC: A4 VMs now generally available, A4X VMs in preview Feedly Summary: At Google Cloud, we’re thrilled to return to NVIDIA’s GTC AI Conference in San Jose CA this March 17-21 with our largest presence ever. The annual conference brings together thousands of developers, innovators,…

  • Cloud Blog: Five tips and tricks to improve your AI workloads

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    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: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-hypercomputer-4-use-cases-tutorials-and-guides/ Source: Cloud Blog Title: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials Feedly Summary: AI Hypercomputer is a fully integrated supercomputing architecture for AI workloads – and it’s easier to use than you think. In this blog, we break down four common use cases, including reference architectures and…

  • Cloud Blog: With MultiKueue, grab GPUs for your GKE cluster, wherever they may be

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/using-multikueue-to-provision-global-gpu-resources/ Source: Cloud Blog Title: With MultiKueue, grab GPUs for your GKE cluster, wherever they may be Feedly Summary: Artificial Intelligence (AI) and large language models (LLMs) are experiencing explosive growth, powering applications from machine translation to artistic creation. These technologies rely on intensive computations that require specialized hardware resources, like GPUs. But…