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Tag: source project

  • Cloud Blog: Run your own code at the edge with Service Extensions plugins for Cloud CDN

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/networking/run-service-extensions-plugins-with-cloud-cdn/ Source: Cloud Blog Title: Run your own code at the edge with Service Extensions plugins for Cloud CDN Feedly Summary: At Google Cloud, we’re committed to delivering the best performance possible globally for web and API content. Cloud CDN is a high-performance edge caching solution that runs at over 200 points of…

  • Simon Willison’s Weblog: My First Open Source AI Generated Library

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/21/my-first-open-source-ai-generated-library/#atom-everything Source: Simon Willison’s Weblog Title: My First Open Source AI Generated Library Feedly Summary: My First Open Source AI Generated Library Armin Ronacher had Claude and Claude Code do almost all of the work in building, testing, packaging and publishing a new Python library based on his design: It wrote ~1100 lines…

  • Cloud Blog: GKE workload scheduling: Strategies for when resources get tight

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-features-to-optimize-resource-allocation/ Source: Cloud Blog Title: GKE workload scheduling: Strategies for when resources get tight Feedly Summary: As a customer of Google Kubernetes Engine (GKE), you’ve selected a container runtime with a high degree of managed operations, encompassing everything from automatic upgrades to effortless node management. This inherent efficiency allows you to focus more…

  • Simon Willison’s Weblog: Run Your Own AI

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/3/run-your-own-ai/ Source: Simon Willison’s Weblog Title: Run Your Own AI Feedly Summary: Run Your Own AI Anthony Lewis published this neat, concise tutorial on using my LLM tool to run local models on your own machine, using llm-mlx. An under-appreciated way to contribute to open source projects is to publish unofficial guides like…

  • Slashdot: AI’s Adoption and Growth Truly is ‘Unprecedented’

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/06/02/0114203/ais-adoption-and-growth-truly-is-unprecedented?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI’s Adoption and Growth Truly is ‘Unprecedented’ Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the rapid and unprecedented adoption of AI technologies, comparing it to previous tech revolutions. Notably, it highlights the swift user base growth of AI applications like ChatGPT, significant cost reductions in…

  • Cloud Blog: Introducing the next generation of AI inference, powered by llm-d

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/enhancing-vllm-for-distributed-inference-with-llm-d/ Source: Cloud Blog Title: Introducing the next generation of AI inference, powered by llm-d Feedly Summary: As the world transitions from prototyping AI solutions to deploying AI at scale, efficient AI inference is becoming the gating factor. Two years ago, the challenge was the ever-growing size of AI models. Cloud infrastructure providers…

  • AWS Open Source Blog: Open Protocols for Agent Interoperability Part 1: Inter-Agent Communication on MCP

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    Kurt Seifried
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    Source URL: https://aws.amazon.com/blogs/opensource/open-protocols-for-agent-interoperability-part-1-inter-agent-communication-on-mcp/ Source: AWS Open Source Blog Title: Open Protocols for Agent Interoperability Part 1: Inter-Agent Communication on MCP Feedly Summary: At AWS, open standards run deep in our DNA, driving all that we do. That’s why we decided to build Amazon Elastic Cloud Compute (EC2) as a protocol-agnostic cloud computing service and Amazon…

  • Cloud Blog: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-enhancements-for-the-developer/ Source: Cloud Blog Title: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger Feedly Summary: Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous…