Tag: Google Cloud Storage
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Cloud Blog: The Dataproc advantage: Advanced Spark features that will transform your analytics and AI
Source URL: https://cloud.google.com/blog/products/data-analytics/why-use-dataproc-for-your-apache-spark-environment/ Source: Cloud Blog Title: The Dataproc advantage: Advanced Spark features that will transform your analytics and AI Feedly Summary: With its exceptional price-performance, Google Cloud’s Dataproc has evolved from a simple, managed open-source software (OSS) service to a powerhouse in Apache Spark and open lakehouses, driving the analytics and AI workloads of…
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Cloud Blog: How to enable real time semantic search and RAG applications with Dataflow ML
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/create-and-retrieve-embeddings-with-a-few-lines-of-dataflow-ml-code/ Source: Cloud Blog Title: How to enable real time semantic search and RAG applications with Dataflow ML Feedly Summary: Embeddings are a cornerstone of modern semantic search and Retrieval Augmented Generation (RAG) applications. In short, they enable applications to understand and interact with information on a deeper, conceptual level. In this post,…
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Cloud Blog: Formula E accelerates its work with Google Cloud Storage and Google Workspace
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/formula-e-accelerates-its-work-with-google-cloud-storage-and-google-workspace/ Source: Cloud Blog Title: Formula E accelerates its work with Google Cloud Storage and Google Workspace Feedly Summary: In the high-speed world of global motorsport, operational efficiency and technological innovation are as critical off the track as they are on it. And when it comes to innovating in the field, Formula E,…
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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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Bulletins: Vulnerability Summary for the Week of June 9, 2025
Source URL: https://www.cisa.gov/news-events/bulletins/sb25-167 Source: Bulletins Title: Vulnerability Summary for the Week of June 9, 2025 Feedly Summary: High Vulnerabilities PrimaryVendor — Product Description Published CVSS Score Source Info Acer–ControlCenter Acer ControlCenter contains Remote Code Execution vulnerability. The program exposes a Windows Named Pipe that uses a custom protocol to invoke internal functions. However, this Named…
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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: Google Cloud Serverless for Apache Spark: high-performance, unified with BigQuery
Source URL: https://cloud.google.com/blog/products/data-analytics/introducing-google-cloud-serverless-for-apache-spark-in-bigquery/ Source: Cloud Blog Title: Google Cloud Serverless for Apache Spark: high-performance, unified with BigQuery Feedly Summary: At Google Cloud, we’re committed to providing the most streamlined, powerful, and cost-effective production- and enterprise-ready serverless Spark experience. To that end, we’re thrilled to announce a significant evolution for Apache Spark on Google Cloud, with…
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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: 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.…
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Cloud Blog: BigLake evolved: Build open, high-performance, enterprise Iceberg-native lakehouses
Source URL: https://cloud.google.com/blog/products/data-analytics/enhancing-biglake-for-iceberg-lakehouses/ Source: Cloud Blog Title: BigLake evolved: Build open, high-performance, enterprise Iceberg-native lakehouses Feedly Summary: Data management is changing. Enterprises need flexible, open, and interoperable architectures that allow multiple engines to operate on a single copy of data. Apache Iceberg has emerged as the leading open table format, but in real-world deployments, customers…