Dynamic Workload Scheduler – Experimental News Clipping Site

Cloud Blog: How Baseten achieves 225% better cost-performance for AI inference (and you can too)

Sep 4, 2025

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-baseten-achieves-better-cost-performance-for-ai-inference/ Source: Cloud Blog Title: How Baseten achieves 225% better cost-performance for AI inference (and you can too) Feedly Summary: Baseten is one of a growing number of AI infrastructure providers, helping other startups run their models and experiments at speed and scale. Given the importance of those two factors to its customers,…

Cloud Blog: Announcements for AI Hypercomputer: The latest infrastructure news for ML practitioners

Aug 5, 2025

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Kurt Seifried

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/q2-2025-ai-hypercomputer-updates/ Source: Cloud Blog Title: Announcements for AI Hypercomputer: The latest infrastructure news for ML practitioners Feedly Summary: Curious about the latest in AI infrastructure from Google Cloud? Every three months we share a roundup of the latest AI Hypercomputer news, resources, events, learning opportunities, and more. Read on to learn new ways…

Cloud Blog: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs

Jul 28, 2025

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Kurt Seifried

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Source URL: https://cloud.google.com/blog/products/compute/dynamic-workload-scheduler-calendar-mode-reserves-gpus-and-tpus/ Source: Cloud Blog Title: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs Feedly Summary: Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid…

Cloud Blog: Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI

Jul 25, 2025

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Kurt Seifried

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/take-an-open-model-from-discovery-to-endpoint-on-vertex-ai/ Source: Cloud Blog Title: Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI Feedly Summary: Developers building with gen AI are increasingly drawn to open models for their power and flexibility. But customizing and deploying them can be a huge challenge. You’re often left wrestling…

Cloud Blog: Selecting the right Hyperdisk block storage for your workloads

Jun 11, 2025

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Kurt Seifried

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Source URL: https://cloud.google.com/blog/products/storage-data-transfer/how-to-choose-the-right-hyperdisk-block-storage-for-your-use-case/ Source: Cloud Blog Title: Selecting the right Hyperdisk block storage for your workloads Feedly Summary: As you adopt Google Cloud or migrate to the latest Compute Engine VMs or to Google Kubernetes Engine (GKE), selecting the right block storage for your workload is crucial. Hyperdisk, Google Cloud’s workload-optimized block storage that’s designed…

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

Apr 11, 2025

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Kurt Seifried

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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

Apr 10, 2025

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Kurt Seifried

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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

Apr 9, 2025

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Kurt Seifried

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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

Mar 18, 2025

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Kurt Seifried

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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

Mar 18, 2025

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Kurt Seifried

in Uncategorized

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…

Tag: Dynamic Workload Scheduler