Cloud Security Alliance News Clipping Site

Tag: resource utilization

  • Cloud Blog: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/learn-how-to-handle-429-resource-exhaustion-errors-in-your-llms/ Source: Cloud Blog Title: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors Feedly Summary: Large language models (LLMs) give developers immense power and scalability, but managing resource consumption is key to delivering a smooth user experience. LLMs demand significant computational resources, which means it’s essential to…

  • Cloud Blog: Google Cloud NetApp Volumes now available for OpenShift on Google Cloud

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/topics/partners/netapp-volumes-now-available-for-openshift-on-google-cloud/ Source: Cloud Blog Title: Google Cloud NetApp Volumes now available for OpenShift on Google Cloud Feedly Summary: As a result of new joint efforts across NetApp, Red Hat and Google Cloud, we are announcing support for Google Cloud NetApp Volumes in OpenShift on Google Cloud through NetApp Trident Version 24.10. This enables…

  • Hacker News: Reducing the cost of a single Google Cloud Dataflow Pipeline by Over 60%

    —

    by

    system automation
    in

    Source URL: https://blog.allegro.tech/2024/06/cost-optimization-data-pipeline-gcp.html Source: Hacker News Title: Reducing the cost of a single Google Cloud Dataflow Pipeline by Over 60% Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses methods for optimizing Google Cloud Platform (GCP) Dataflow pipelines with a focus on cost reductions through effective resource management and configuration enhancements. This…

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

    —

    by

    system automation
    in

    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: Unlocking LLM training efficiency with Trillium — a performance analysis

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…

  • Slashdot: OpenAI and Others Seek New Path To Smarter AI as Current Methods Hit Limitations

    —

    by

    system automation
    in

    Source URL: https://tech.slashdot.org/story/24/11/11/144206/openai-and-others-seek-new-path-to-smarter-ai-as-current-methods-hit-limitations?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI and Others Seek New Path To Smarter AI as Current Methods Hit Limitations Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the challenges faced by AI companies like OpenAI in scaling large language models and introduces new human-like training techniques as a potential solution. This…

  • Hacker News: Understanding Ruby 3.3 Concurrency: A Comprehensive Guide

    —

    by

    system automation
    in

    Source URL: https://blog.bestwebventures.in/understanding-ruby-concurrency-a-comprehensive-guide Source: Hacker News Title: Understanding Ruby 3.3 Concurrency: A Comprehensive Guide Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth exploration of Ruby 3.3’s enhanced concurrency capabilities, which are critical for developing efficient applications in AI and machine learning. With improved concurrency models like Ractors, Threads, and…

  • Cloud Blog: Now run your custom code at the edge with the Application Load Balancers

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/networking/service-extensions-plugins-for-application-load-balancers/ Source: Cloud Blog Title: Now run your custom code at the edge with the Application Load Balancers Feedly Summary: Application Load Balancers are essential for reliable web application delivery on Google Cloud. But while Google Cloud’s load balancers offer extensive customization, some situations demand even greater programmability.  We recently announced Service Extensions…

  • Cloud Blog: Introducing an industry first: application awareness on Cloud Interconnect

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/networking/cross-cloud-network-enhancements-for-distributed-workloads/ Source: Cloud Blog Title: Introducing an industry first: application awareness on Cloud Interconnect Feedly Summary: Multicloud architectures are becoming commonplace as more business-critical applications are moving to the cloud. Last year, we introduced the Cross-Cloud Network to transform and simplify hybrid and multicloud connectivity, and enable organizations to easily build distributed applications.…

  • Hacker News: AI Flame Graphs

    —

    by

    system automation
    in

    Source URL: https://www.brendangregg.com/blog//2024-10-29/ai-flame-graphs.html Source: Hacker News Title: AI Flame Graphs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Intel’s development of a tool called AI Flame Graphs, designed to optimize AI workloads by profiling resource utilization on AI accelerators and GPUs. By visualizing the software stack and identifying inefficiencies, this tool…