Tag: infrastructure performance

  • Cloud Blog: How startups can help build — and benefit from — the AI revolution

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/industry-leaders-on-whats-next-for-startups-and-ai/ Source: Cloud Blog Title: How startups can help build — and benefit from — the AI revolution Feedly Summary: Startups are at the forefront of generative AI development, pushing current capabilities and unlocking new potential. Building on our Future of AI: Perspectives for Startups 2025 report, several of the AI industry leaders…

  • AWS News Blog: AWS Weekly Roundup: SQS fair queues, CloudWatch generative AI observability, and more (July 28, 2025)

    Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-sqs-fair-queues-cloudwatch-generative-ai-observability-and-more-july-28-2025/ Source: AWS News Blog Title: AWS Weekly Roundup: SQS fair queues, CloudWatch generative AI observability, and more (July 28, 2025) Feedly Summary: To be honest, I’m still recovering from the AWS Summit in New York, doing my best to level up on launches like Amazon Bedrock AgentCore (Preview) and Amazon Simple Storage…

  • Cloud Blog: Application monitoring in Google Cloud: Bridging manual and AI-assisted troubleshooting

    Source URL: https://cloud.google.com/blog/products/management-tools/get-to-know-cloud-observability-application-monitoring/ Source: Cloud Blog Title: Application monitoring in Google Cloud: Bridging manual and AI-assisted troubleshooting Feedly Summary: As developers and operators, you know that having access to the right information in the proper context is crucial for effective troubleshooting. This is why organizations invest a lot upfront curating monitoring resources across different business…

  • Cloud Blog: C4D now GA: up to 80% higher performance for your business critical workloads

    Source URL: https://cloud.google.com/blog/products/compute/c4d-vms-unparalleled-performance-for-business-workloads/ Source: Cloud Blog Title: C4D now GA: up to 80% higher performance for your business critical workloads Feedly Summary: We’re excited to announce the general availability of our next-generation C4D virtual machine family. Powered by 5th Gen AMD EPYC processors (Turin) paired with Google Titanium’s latest advancements, C4D provides customers with meaningful…

  • Hacker News: Fire-Flyer File System from DeepSeek

    Source URL: https://github.com/deepseek-ai/3FS Source: Hacker News Title: Fire-Flyer File System from DeepSeek Feedly Summary: Comments AI Summary and Description: Yes Summary: The Fire-Flyer File System (3FS) is a distributed file system designed to optimize AI training and inference workloads by harnessing modern hardware capabilities. The text discusses its performance, a benchmarking approach using the GraySort…

  • Hacker News: Rust: Doubling Throughput with Continuous Profiling and Optimization

    Source URL: https://www.polarsignals.com/blog/posts/2025/02/11/doubling-throughput-with-continuous-profiling-and-optimization Source: Hacker News Title: Rust: Doubling Throughput with Continuous Profiling and Optimization Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how S2, a serverless API for streaming data, optimized its cloud infrastructure performance and reduced operational costs through the implementation of continuous profiling with Polar Signals Cloud. This…

  • Hacker News: Llama.vim – Local LLM-assisted text completion

    Source URL: https://github.com/ggml-org/llama.vim Source: Hacker News Title: Llama.vim – Local LLM-assisted text completion Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes a local LLM-assisted text completion plugin named llama.vim designed for use within the Vim text editor. It provides features such as smart context reuse, performance statistics, and configurations based on…

  • 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…

  • Hacker News: WebSockets cost us $1M on our AWS bill

    Source URL: https://www.recall.ai/post/how-websockets-cost-us-1m-on-our-aws-bill Source: Hacker News Title: WebSockets cost us $1M on our AWS bill Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth analysis of optimizing inter-process communication (IPC) in a cloud computing environment, particularly within AWS, leading to significant cost reduction. It highlights the inefficiencies of using WebSockets…