Experimental News Clipping Site

Tag: docker images

  • AWS News Blog: Accelerate CI/CD pipelines with the new AWS CodeBuild Docker Server capability

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/accelerate-ci-cd-pipelines-with-the-new-aws-codebuild-docker-server-capability/ Source: AWS News Blog Title: Accelerate CI/CD pipelines with the new AWS CodeBuild Docker Server capability Feedly Summary: AWS CodeBuild now offers Docker Server capability, enabling a dedicated and persistent Docker server within projects that dramatically reduces build times by maintaining a centralized cache, as demonstrated by a 98% reduction in build…

  • Docker: Desktop 4.39: Smarter AI Agent, Docker CLI in GA, and Effortless Multi-Platform Builds

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/docker-desktop-4-39/ Source: Docker Title: Desktop 4.39: Smarter AI Agent, Docker CLI in GA, and Effortless Multi-Platform Builds Feedly Summary: Docker Desktop 4.39 brings Docker AI Agent for real-time help, plus Bake for faster builds and Multi-Node Kubernetes for better testing. Learn more! AI Summary and Description: Yes **Summary:** The text discusses the latest…

  • Cloud Blog: Improving model performance with PyTorch/XLA 2.6

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/application-development/pytorch-xla-2-6-helps-improve-ai-model-performance/ Source: Cloud Blog Title: Improving model performance with PyTorch/XLA 2.6 Feedly Summary: For developers who want to use the PyTorch deep learning framework with Cloud TPUs, the PyTorch/XLA Python package is key, offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes. It…

  • Cloud Blog: How L’Oréal Tech Accelerator built its end-to-end MLOps platform

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-loreals-tech-accelerator-built-its-end-to-end-mlops-platform/ Source: Cloud Blog Title: How L’Oréal Tech Accelerator built its end-to-end MLOps platform Feedly Summary: Technology has transformed our lives and social interactions at an unprecedented speed and scale, creating new opportunities. To adapt to this reality, L’Oréal has established itself as a leader in Beauty Tech, promoting personalized, inclusive, and responsible…

  • Docker: Simplify AI Development with the Model Context Protocol and Docker

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/simplify-ai-development-with-the-model-context-protocol-and-docker/ Source: Docker Title: Simplify AI Development with the Model Context Protocol and Docker Feedly Summary: Get started using the Model Context Protocol to experiment with AI capabilities using Docker Desktop. AI Summary and Description: Yes Summary: The text details the Docker Labs GenAI series, which explores AI developer tools, particularly the integration…

  • Hacker News: How to Handle Go Security Alerts

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    system automation
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    Source URL: https://jarosz.dev/code/how-to-handle-go-security-alerts/ Source: Hacker News Title: How to Handle Go Security Alerts Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the importance of monitoring and handling security vulnerabilities in Go applications, emphasizing strategies such as using tools like Docker Scout and govulncheck for scanning and updating dependencies. It highlights the…

  • Docker: The Model Context Protocol: Simplifying Building AI apps with Anthropic Claude Desktop and Docker

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    system automation
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    Source URL: https://www.docker.com/blog/the-model-context-protocol-simplifying-building-ai-apps-with-anthropic-claude-desktop-and-docker/ Source: Docker Title: The Model Context Protocol: Simplifying Building AI apps with Anthropic Claude Desktop and Docker Feedly Summary: Anthropic recently unveiled the Model Context Protocol (MCP), a new standard for connecting AI assistants and models to reliable data and tools. However, packaging and distributing MCP servers is very challenging due to…

  • Cloud Blog: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-deploy-llama-3-2-1b-instruct-model-with-google-cloud-run/ Source: Cloud Blog Title: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU Feedly Summary: As open-source large language models (LLMs) become increasingly popular, developers are looking for better ways to access new models and deploy them on Cloud Run GPU. That’s why Cloud Run now offers fully managed NVIDIA…

  • Hacker News: Tencent drops a 389B MoE model(Open-source and free for commercial use))

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    system automation
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    Source URL: https://github.com/Tencent/Tencent-Hunyuan-Large Source: Hacker News Title: Tencent drops a 389B MoE model(Open-source and free for commercial use)) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces the Hunyuan-Large model, the largest open-source Transformer-based Mixture of Experts (MoE) model, developed by Tencent, which boasts 389 billion parameters, optimizing performance while managing resource…