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Tag: made

  • Scott Logic: Tools for measuring Cloud Carbon Emissions (updated for 2025)

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    by

    Kurt Seifried
    in

    Source URL: https://blog.scottlogic.com/2025/05/20/tools-for-measuring-cloud-carbon-emissions-updated-for-2025.html Source: Scott Logic Title: Tools for measuring Cloud Carbon Emissions (updated for 2025) Feedly Summary: In this post I’ll discuss ways of estimating the emissions caused by your Cloud workloads as a first step towards reaching your organisation’s Net Zero goals. AI Summary and Description: Yes **Summary:** The text provides a comprehensive…

  • Cloud Blog: Managing GenAI with Chrome Enterprise

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/chrome-enterprise/managing-genai-with-chrome-enterprise/ Source: Cloud Blog Title: Managing GenAI with Chrome Enterprise Feedly Summary: GenAI is transforming the way people think about their work and giving businesses of all sizes an opportunity to re-imagine everything from their internal processes to the way they engage with their customers. These new capabilities are evolving at a rapid…

  • Cloud Blog: AI deployment made easy: Deploy your app to Cloud Run from AI Studio or MCP-compatible AI agents

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-studio-to-cloud-run-and-cloud-run-mcp-server/ Source: Cloud Blog Title: AI deployment made easy: Deploy your app to Cloud Run from AI Studio or MCP-compatible AI agents Feedly Summary: Cloud Run has become a go-to app hosting solution for its remarkable simplicity, flexibility, and scalability. But the age of AI-assisted development is here, and going from idea to…

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

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    by

    Kurt Seifried
    in

    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…

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

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    by

    Kurt Seifried
    in

    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…

  • Scott Logic: An SBOM primer with some practical insights

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    Kurt Seifried
    in

    Source URL: https://blog.scottlogic.com/2025/05/16/sbom-primer-practical-insights.html Source: Scott Logic Title: An SBOM primer with some practical insights Feedly Summary: We’ve been generating Software Bills of Materials (SBOMs) on client projects for several years now, and we’d like to share insights into the positive impact they’ve had on security, resilience and engineering quality, along with some considerations to bear…

  • Simon Willison’s Weblog: Building software on top of Large Language Models

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/15/building-on-llms/#atom-everything Source: Simon Willison’s Weblog Title: Building software on top of Large Language Models Feedly Summary: I presented a three hour workshop at PyCon US yesterday titled Building software on top of Large Language Models. The goal of the workshop was to give participants everything they needed to get started writing code that…