Tag: containers
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Hacker News: Thoughtworks Technology Radar Oct 2024 – From Coding Assistance to AI Evolution
Source URL: https://www.infoq.com/news/2024/11/thoughtworks-tech-radar-oct-2024/ Source: Hacker News Title: Thoughtworks Technology Radar Oct 2024 – From Coding Assistance to AI Evolution Feedly Summary: Comments AI Summary and Description: Yes Summary: Thoughtworks’ Technology Radar Volume 31 emphasizes the dominance of Generative AI and Large Language Models (LLMs) and their responsible integration into software development. It highlights the need…
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Hacker News: Red Hat to contribute container tech (Podman, bootc, ComposeFS…) to CNCF
Source URL: https://www.redhat.com/en/blog/red-hat-contribute-comprehensive-container-tools-collection-cloud-native-computing-foundation Source: Hacker News Title: Red Hat to contribute container tech (Podman, bootc, ComposeFS…) to CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the contribution of container tools by Red Hat to the Cloud Native Computing Foundation (CNCF) for enhancing cloud-native applications and facilitating development in a hybrid…
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Docker: Why Testcontainers Cloud Is a Game-Changer Compared to Docker-in-Docker for Testing Scenarios
Source URL: https://www.docker.com/blog/testcontainers-cloud-vs-docker-in-docker-for-testing-scenarios/ Source: Docker Title: Why Testcontainers Cloud Is a Game-Changer Compared to Docker-in-Docker for Testing Scenarios Feedly Summary: Learn why Testcontainers Cloud is a transformative alternative to Docker-in-Docker that’s reshaping container-based testing. AI Summary and Description: Yes Summary: The text elaborates on the challenges and risks associated with using Docker-in-Docker (DinD) in continuous…
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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…
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Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting/ Source: Cloud Blog Title: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models Feedly Summary: As generative AI evolves, we’re beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching…