Tag: Kubernetes Engine
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Cloud Blog: Using Platform Engineering to simplify the developer experience – part one
Source URL: https://cloud.google.com/blog/products/application-development/simplifying-platform-engineering-at-john-lewis-part-one/ Source: Cloud Blog Title: Using Platform Engineering to simplify the developer experience – part one Feedly Summary: Editor’s note: This is part one of the story. After you’re finished reading, head over to part two. In 2017, John Lewis, a major UK retailer with a £2.5bn annual online turnover, was hampered by…
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Cloud Blog: Introducing BigQuery ObjectRef: Supercharge your multimodal data and AI processing
Source URL: https://cloud.google.com/blog/products/data-analytics/new-objectref-data-type-brings-unstructured-data-into-bigquery/ Source: Cloud Blog Title: Introducing BigQuery ObjectRef: Supercharge your multimodal data and AI processing Feedly Summary: Traditional data warehouses simply can’t keep up with today’s analytics workloads. That’s because today, most data that’s generated is both unstructured and multimodal (documents, audio files, images, and videos). With the complexity of cleaning and transforming…
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Cloud Blog: GKE workload scheduling: Strategies for when resources get tight
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-features-to-optimize-resource-allocation/ Source: Cloud Blog Title: GKE workload scheduling: Strategies for when resources get tight Feedly Summary: As a customer of Google Kubernetes Engine (GKE), you’ve selected a container runtime with a high degree of managed operations, encompassing everything from automatic upgrades to effortless node management. This inherent efficiency allows you to focus more…
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Cloud Blog: Save early and often with multi-tier checkpointing to optimize large AI training jobs
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/using-multi-tier-checkpointing-for-large-ai-training-jobs/ Source: Cloud Blog Title: Save early and often with multi-tier checkpointing to optimize large AI training jobs Feedly Summary: As foundation model training infrastructure scales to tens of thousands of accelerators, efficient utilization of those high-value resources becomes paramount. In particular, as the cluster gets larger, hardware failures become more frequent (~…
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Cloud Blog: C4D now GA: up to 80% higher performance for your business critical workloads
Source URL: https://cloud.google.com/blog/products/compute/c4d-vms-unparalleled-performance-for-business-workloads/ Source: Cloud Blog Title: C4D now GA: up to 80% higher performance for your business critical workloads Feedly Summary: We’re excited to announce the general availability of our next-generation C4D virtual machine family. Powered by 5th Gen AMD EPYC processors (Turin) paired with Google Titanium’s latest advancements, C4D provides customers with meaningful…
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Cloud Blog: New G4 VMs with NVIDIA RTX PRO 6000 Blackwell power AI, graphics, gaming and beyond
Source URL: https://cloud.google.com/blog/products/compute/introducing-g4-vm-with-nvidia-rtx-pro-6000/ Source: Cloud Blog Title: New G4 VMs with NVIDIA RTX PRO 6000 Blackwell power AI, graphics, gaming and beyond Feedly Summary: Today, we’re excited to announce the preview of our new G4 VMs based on NVIDIA RTX PRO 6000 Blackwell Server edition — the first cloud provider to do so. This follows…
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Cloud Blog: Selecting the right Hyperdisk block storage for your workloads
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…
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Cloud Blog: Building a Production Multimodal Fine-Tuning Pipeline
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/building-a-production-multimodal-fine-tuning-pipeline/ Source: Cloud Blog Title: Building a Production Multimodal Fine-Tuning Pipeline Feedly Summary: Looking to fine-tune multimodal AI models for your specific domain but facing infrastructure and implementation challenges? This guide demonstrates how to overcome the multimodal implementation gap using Google Cloud and Axolotl, with a complete hands-on example fine-tuning Gemma 3 on…
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Cloud Blog: Enhancing Google Cloud protection: 4 new capabilities in Security Command Center
Source URL: https://cloud.google.com/blog/products/identity-security/enhancing-protection-4-new-security-command-center-capabilities/ Source: Cloud Blog Title: Enhancing Google Cloud protection: 4 new capabilities in Security Command Center Feedly Summary: In today’s cloud environments, security teams need more than just surface-level visibility; they require actionable insight to ensure that their cloud workloads are safe. Unlike third-party cloud security tools that rely on data available via…
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Cloud Blog: Streamline your your AI/ML data transfers with new GKE Volume Populator
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-volume-populator-streamlines-aiml-data-transfers/ Source: Cloud Blog Title: Streamline your your AI/ML data transfers with new GKE Volume Populator Feedly Summary: As an AI/ML developer, you have a lot of decisions to make when it comes to choosing your infrastructure — even if you’re running on top of a fully managed Google Kubernetes Engine (GKE) environment.…