Experimental News Clipping Site

Tag: GKE

  • Cloud Blog: C4A, the first Google Axion Processor, now GA with Titanium SSD

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/first-google-axion-processor-c4a-now-ga-with-titanium-ssd/ Source: Cloud Blog Title: C4A, the first Google Axion Processor, now GA with Titanium SSD Feedly Summary: Today, we are thrilled to announce the general availability of C4A virtual machines with Titanium SSDs custom designed by Google for cloud workloads that require real-time data processing, with low-latency and high-throughput storage performance. Titanium…

  • Cloud Blog: How retailers are accelerating AI into production with NVIDIA and Google Cloud

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/retail/how-retailers-are-accelerating-ai-with-nvidia-and-google-cloud/ Source: Cloud Blog Title: How retailers are accelerating AI into production with NVIDIA and Google Cloud Feedly Summary: Retailers have always moved quickly to connect and match the latest merchandise with customers’ needs. And the same way they carefully design every inch of their stores, the time and thought that goes into…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

  • Cloud Blog: Scaling to zero on Google Kubernetes Engine with KEDA

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    system automation
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/scale-to-zero-on-gke-with-keda/ Source: Cloud Blog Title: Scaling to zero on Google Kubernetes Engine with KEDA Feedly Summary: For developers and businesses that run applications on Google Kubernetes Engine (GKE), scaling deployments down to zero when they are idle can offer significant financial savings. GKE’s Cluster Autoscaler efficiently manages node pool sizes, but for applications…

  • Cloud Blog: Scaling to zero on Google Kubernetes Engine with KEDA

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    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/scale-to-zero-on-gke-with-keda/ Source: Cloud Blog Title: Scaling to zero on Google Kubernetes Engine with KEDA Feedly Summary: For developers and businesses that run applications on Google Kubernetes Engine (GKE), scaling deployments down to zero when they are idle can offer significant financial savings. GKE’s Cluster Autoscaler efficiently manages node pool sizes, but for applications…

  • Cloud Blog: The Year in Google Cloud – 2024

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    system automation
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    Source URL: https://cloud.google.com/blog/products/gcp/top-google-cloud-blogs/ Source: Cloud Blog Title: The Year in Google Cloud – 2024 Feedly Summary: If you’re a regular reader of this blog, you know that 2024 was a busy year for Google Cloud. From AI to Zero Trust, and everything in between, here’s a chronological recap of our top blogs of 2024, according…

  • Cloud Blog: Using Cilium and GKE Dataplane V2? Be sure to check out Hubble for observability

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    system automation
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/using-hubble-for-gke-dataplane-v2-observability/ Source: Cloud Blog Title: Using Cilium and GKE Dataplane V2? Be sure to check out Hubble for observability Feedly Summary: As a Kubernetes platform engineer, you’ve probably followed the buzz around eBPF and its revolutionary impact on Kubernetes networking. Perhaps you’ve explored Cilium, a popular solution leveraging eBPF, and wondered how Google…

  • Cloud Blog: Orchestrating GPU-based distributed training workloads on AI Hypercomputer

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gpu-orchestration-options-on-ai-hypercomputer/ Source: Cloud Blog Title: Orchestrating GPU-based distributed training workloads on AI Hypercomputer Feedly Summary: When it comes to AI, large language models (LLMs) and machine learning (ML) are taking entire industries to the next level. But with larger models and datasets, developers need distributed environments that span multiple AI accelerators (e.g. GPUs…

  • Cloud Blog: Scaling to zero on Google Kubernetes Engine with KEDA

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    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/scale-to-zero-on-gke-with-keda/ Source: Cloud Blog Title: Scaling to zero on Google Kubernetes Engine with KEDA Feedly Summary: For developers and businesses that run applications on Google Kubernetes Engine (GKE), scaling deployments down to zero when they are idle can offer significant financial savings. GKE’s Cluster Autoscaler efficiently manages node pool sizes, but for applications…