Tag: days
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		The Register: Google agrees to pause AI workloads to protect the grid when power demand spikesSource URL: https://www.theregister.com/2025/08/04/google_ai_datacenter_grid/ Source: The Register Title: Google agrees to pause AI workloads to protect the grid when power demand spikes Feedly Summary: On hot summer days, air conditioning is rather more important than search summaries Google will pause non-essential AI workloads to protect power grids, the advertising giant announced on Monday.… AI Summary and… 
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		AWS News Blog: AWS Weekly Roundup: Amazon DocumentDB, AWS Lambda, Amazon EC2, and more (August 4, 2025)Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-amazon-documentdb-aws-lambda-amazon-ec2-and-more-august-4-2025/ Source: AWS News Blog Title: AWS Weekly Roundup: Amazon DocumentDB, AWS Lambda, Amazon EC2, and more (August 4, 2025) Feedly Summary: This week brings an array of innovations spanning from generative AI capabilities to enhancements of foundational services. Whether you’re building AI-powered applications, managing databases, or optimizing your cloud infrastructure, these updates… 
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		Slashdot: What Happens To Your Data If You Stop Paying for Cloud Storage?Source URL: https://hardware.slashdot.org/story/25/08/04/1649224/what-happens-to-your-data-if-you-stop-paying-for-cloud-storage?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: What Happens To Your Data If You Stop Paying for Cloud Storage? Feedly Summary: AI Summary and Description: Yes Summary: The text highlights significant ambiguities in data deletion policies among major cloud storage providers, which has implications for privacy and user control over their personal data post-subscription. The article… 
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		Cloud Blog: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUsSource URL: https://cloud.google.com/blog/products/compute/dynamic-workload-scheduler-calendar-mode-reserves-gpus-and-tpus/ Source: Cloud Blog Title: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs Feedly Summary: Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid…