Tag: parallel processing

  • Hacker News: Sharding Pgvector

    Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…

  • Cloud Blog: Accelerating mainframe modernization with Google Cloud Dual Run and mLogica

    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/mlogica-and-google-cloud-partner-on-mainframe-modernization/ Source: Cloud Blog Title: Accelerating mainframe modernization with Google Cloud Dual Run and mLogica Feedly Summary: Mainframe modernization is no longer a question of if, but how, with organizations seeking ways to accelerate modernization while also minimizing costs and reducing risks. Today, Google Cloud and mLogica announced a strategic partnership focused on…

  • Hacker News: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition

    Source URL: https://sakana.ai/ai-cuda-engineer/ Source: Hacker News Title: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses significant advancements made by Sakana AI in automating the creation and optimization of AI models, particularly through the development of The AI CUDA Engineer, which leverages…

  • Hacker News: A Brief History of Code Signing at Mozilla

    Source URL: https://hearsum.ca/posts/history-of-code-signing-at-mozilla/ Source: Hacker News Title: A Brief History of Code Signing at Mozilla Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text explores the evolution of code signing processes at Mozilla, detailing the complexity of securely shipping software to end-user devices over the last two decades. It emphasizes improvements in automation…

  • Cloud Blog: How we improved GKE volume attachments for stateful applications by up to 80%

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gkes-faster-cluster-upgrades-under-the-hood/ Source: Cloud Blog Title: How we improved GKE volume attachments for stateful applications by up to 80% Feedly Summary: If you run stateful workloads on Google Kubernetes Engine (GKE), you may have noticed that your Cluster upgrades execute much faster as of late. You’re not imagining things. We recently introduced an  enhancement…

  • Hacker News: Data Branching for Batch Job Systems

    Source URL: https://isaacjordan.me/blog/2025/01/data-branching-for-batch-job-systems Source: Hacker News Title: Data Branching for Batch Job Systems Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines a novel approach to data management by treating data similar to code versioning, utilizing branching strategies to enhance data security, auditing, and experimentation within batch jobs. This mirrors software development…

  • Cloud Blog: How inference at the edge unlocks new AI use cases for retailers

    Source URL: https://cloud.google.com/blog/topics/retail/ai-for-retailers-boost-roi-without-straining-budget-or-resources/ Source: Cloud Blog Title: How inference at the edge unlocks new AI use cases for retailers Feedly Summary: For retailers, making intelligent, data-driven decisions in real-time isn’t an advantage — it’s a necessity. Staying ahead of the curve means embracing AI, but many retailers hesitate to adopt because it’s costly to overhaul…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

  • Hacker News: Can LLMs write better code if you keep asking them to "write better code"?

    Source URL: https://minimaxir.com/2025/01/write-better-code/ Source: Hacker News Title: Can LLMs write better code if you keep asking them to "write better code"? Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text presents an extensive exploration of using large language models (LLMs), specifically Claude 3.5 Sonnet, for code optimization. It discusses various…