Experimental News Clipping Site

Tag: Dynamic Workload Scheduler

  • Cloud Blog: 229 things we announced at Google Cloud Next 25 – a recap

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/google-cloud-next-2025-wrap-up/ Source: Cloud Blog Title: 229 things we announced at Google Cloud Next 25 – a recap Feedly Summary: Google Cloud Next 25 took place this week and we’re all still buzzing! It was a jam-packed week in Las Vegas complete with interactive experiences, including more than 10 keynotes and spotlights, 700 sessions,…

  • Cloud Blog: H4D VMs: Next-generation HPC-optimized VMs

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/new-h4d-vms-optimized-for-hpc/ Source: Cloud Blog Title: H4D VMs: Next-generation HPC-optimized VMs Feedly Summary: At Google Cloud Next, we introduced H4D VMs, our latest machine type for high performance computing (HPC). Building upon existing HPC offerings, H4D VMs are designed to address the evolving needs of demanding workloads in industries such as manufacturing, weather forecasting,…

  • Cloud Blog: Introducing Ironwood TPUs and new innovations in AI Hypercomputer

    —

    by

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

    —

    by

    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

    —

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

    —

    by

    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

    —

    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…