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Tag: Google Kubernetes Engine

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

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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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    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: Announcing the general availability of Trillium, our sixth-generation TPU

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    Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…

  • Cloud Blog: Toyota shifts into overdrive: Developing an AI platform for enhanced manufacturing efficiency

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    Source URL: https://cloud.google.com/blog/topics/hybrid-cloud/toyota-ai-platform-manufacturing-efficiency/ Source: Cloud Blog Title: Toyota shifts into overdrive: Developing an AI platform for enhanced manufacturing efficiency Feedly Summary: The automotive industry is facing a profound transformation, driven by the rise of CASE, — connected cars, autonomous and automated driving, shared mobility, and electrification. Simultaneously,  manufacturers face the imperative to further increase efficiency,…

  • Cloud Blog: Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine

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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/moloco-uses-gke-and-tpus-for-ml-workloads/ Source: Cloud Blog Title: Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine Feedly Summary: In today’s congested digital landscape, businesses of all sizes face the challenge of optimizing their marketing budgets. They must find ways to stand out amid the bombardment of messages vying for potential customers’ attention.…

  • Cloud Blog: What’s new with HPC and AI infrastructure at Google Cloud

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    Source URL: https://cloud.google.com/blog/topics/hpc/whats-new-with-hpc/ Source: Cloud Blog Title: What’s new with HPC and AI infrastructure at Google Cloud Feedly Summary: At Google Cloud, we’re rapidly advancing our high-performance computing (HPC) capabilities, providing researchers and engineers with powerful tools and infrastructure to tackle the most demanding computational challenges. Here’s a look at some of the key developments…

  • Cloud Blog: Secure your data ecosystem: a multi-layered approach with Google Cloud

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    Source URL: https://cloud.google.com/blog/products/data-analytics/learn-how-to-build-a-secure-data-platform-with-google-cloud-ebook/ Source: Cloud Blog Title: Secure your data ecosystem: a multi-layered approach with Google Cloud Feedly Summary: It’s an exciting time in the world of data and analytics, with more organizations harnessing the power of data and AI to help transform and grow their businesses. But in a threat landscape with increasingly sophisticated…

  • Cloud Blog: Data loading best practices for AI/ML inference on GKE

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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improve-data-loading-times-for-ml-inference-apps-on-gke/ Source: Cloud Blog Title: Data loading best practices for AI/ML inference on GKE Feedly Summary: As AI models increase in sophistication, there’s increasingly large model data needed to serve them. Loading the models and weights along with necessary frameworks to serve them for inference can add seconds or even minutes of scaling…

  • Cloud Blog: Empower your teams with self-service Kubernetes using GKE fleets and Argo CD

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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/empower-your-teams-with-self-service-kubernetes-using-gke-fleets-and-argo-cd/ Source: Cloud Blog Title: Empower your teams with self-service Kubernetes using GKE fleets and Argo CD Feedly Summary: Managing applications across multiple Kubernetes clusters is complex, especially when those clusters span different environments or even cloud providers. One powerful and secure solution combines Google Kubernetes Engine (GKE) fleets and, Argo CD, a…