Tag: Google Cloud Storage
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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…
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Cloud Blog: Google Cloud’s open lakehouse: Architected for AI, open data, and unrivaled performance
Source URL: https://cloud.google.com/blog/products/data-analytics/extending-the-google-data-cloud-lakehouse-architecture/ Source: Cloud Blog Title: Google Cloud’s open lakehouse: Architected for AI, open data, and unrivaled performance Feedly Summary: The Google Data Cloud is a uniquely integrated platform built on Google’s planet-scale infrastructure, infused with AI, and features an open lakehouse architecture for multimodal data. Already, organizations like Snap Inc. credit Google’s Data…
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Cloud Blog: Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/elastic-training-and-optimized-checkpointing-improve-ml-goodput/ Source: Cloud Blog Title: Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing Feedly Summary: Want to save some money on large AI training? For a typical PyTorch LLM training workload that spans thousands of accelerators for several weeks, a 1% improvement in ML Goodput can translate to…
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Cloud Blog: Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery
Source URL: https://cloud.google.com/blog/products/data-analytics/convert-ai-generated-unstructured-data-to-a-bigquery-table/ Source: Cloud Blog Title: Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery Feedly Summary: The explosion of digital content from social media, smartphones, and other sources has created a massive amount of unstructured data like images, videos, and documents. To help you analyze this data, BigQuery is connected with…
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Cloud Blog: Google AI Edge Portal: On-device machine learning testing at scale
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-edge-portal-brings-on-device-ml-testing-at-scale/ Source: Cloud Blog Title: Google AI Edge Portal: On-device machine learning testing at scale Feedly Summary: Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale. Machine learning on mobile devices enables amazing app experiences. But…