Tag: resource utilization
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Cloud Blog: PayPal’s Real-Time Revolution: Migrating to Google Cloud for Streaming Analytics
Source URL: https://cloud.google.com/blog/products/data-analytics/paypals-dataflow-migration-real-time-streaming-analytics/ Source: Cloud Blog Title: PayPal’s Real-Time Revolution: Migrating to Google Cloud for Streaming Analytics Feedly Summary: At PayPal, revolutionizing commerce globally has been a core mission for over 25 years. We create innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, empowering consumers and businesses in approximately 200…
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Hacker News: Managing Large-Scale Redis Clusters on K8s – Kuaishou’s Approach
Source URL: https://kubeblocks.io/blog/manage-large-scale-redis-on-k8s-with-kubeblocks Source: Hacker News Title: Managing Large-Scale Redis Clusters on K8s – Kuaishou’s Approach Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an in-depth account of Kuaishou’s approach to running stateful services, specifically Redis, on Kubernetes, emphasizing the challenges and solutions encountered during their cloud-native transformation. This is significant…
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AWS News Blog: Amazon FSx for Lustre increases throughput to GPU instances by up to 12x
Source URL: https://aws.amazon.com/blogs/aws/amazon-fsx-for-lustre-unlocks-full-network-bandwidth-and-gpu-performance/ Source: AWS News Blog Title: Amazon FSx for Lustre increases throughput to GPU instances by up to 12x Feedly Summary: Amazon FSx for Lustre now features Elastic Fabric Adapter and NVIDIA GPUDirect Storage for up to 12x higher throughput to GPUs, unlocking new possibilities in deep learning, autonomous vehicles, and HPC workloads.…
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Hacker News: Golang and Containers Perf Gotcha – Gomaxprocs
Source URL: https://metoro.io/blog/go-production-performance-gotcha-gomaxprocs Source: Hacker News Title: Golang and Containers Perf Gotcha – Gomaxprocs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a performance issue faced by Metoro, an observability platform, due to incorrect configuration of the GOMAXPROCS parameter in a Go application. This led to unexpected CPU usage on larger…
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Cloud Blog: Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors
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…
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Hacker News: Reducing the cost of a single Google Cloud Dataflow Pipeline by Over 60%
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…
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Cloud Blog: Data loading best practices for AI/ML inference on GKE
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…
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Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis
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…