Experimental News Clipping Site

Tag: resource allocation

  • The Cloudflare Blog: A deep dive into Cloudflare’s September 12, 2025 dashboard and API outage

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    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/deep-dive-into-cloudflares-sept-12-dashboard-and-api-outage/ Source: The Cloudflare Blog Title: A deep dive into Cloudflare’s September 12, 2025 dashboard and API outage Feedly Summary: Cloudflare’s Dashboard and a set of related APIs were unavailable or partially available for an hour starting on Sep 12, 17:57 UTC. The outage did not affect the serving of cached files via…

  • Cloud Blog: Three-part framework to measure the impact of your AI use case

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/cost-management/measure-the-value-and-impact-of-your-ai/ Source: Cloud Blog Title: Three-part framework to measure the impact of your AI use case Feedly Summary: Generative AI is no longer just an experiment. The real challenge now is quantifying its value. For leaders, the path is clear: make AI projects drive business growth, not just incur costs. Today, we’ll share…

  • Cloud Blog: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-inference-recipe-using-nvidia-dynamo-with-ai-hypercomputer/ Source: Cloud Blog Title: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer Feedly Summary: As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make…

  • Cloud Blog: Our approach to carbon-aware data centers: Central data center fleet management

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/sustainability/googles-approach-to-carbon-aware-data-center/ Source: Cloud Blog Title: Our approach to carbon-aware data centers: Central data center fleet management Feedly Summary: Data centers are the engines of the cloud, processing and storing the information that powers our daily lives. As digital services grow, so do our data centers and we are working to responsibly manage them.…

  • Slashdot: All IT Work To Involve AI By 2030, Says Gartner

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    Kurt Seifried
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    Source URL: https://it.slashdot.org/story/25/09/08/2031235/all-it-work-to-involve-ai-by-2030-says-gartner?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: All IT Work To Involve AI By 2030, Says Gartner Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Gartner’s projections regarding the integration of AI into IT departmental functions by 2030, predicting a significant augmentation of human roles rather than outright job losses. It highlights the…

  • The Register: AI chip startup d-Matrix aspires to rack scale with JetStream I/O cards

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/09/08/dmatrix_jetstream_nic/ Source: The Register Title: AI chip startup d-Matrix aspires to rack scale with JetStream I/O cards Feedly Summary: Who needs HBM when you can juggle SRAM speed and LPDDR bulk across racks AI chip startup d-Matrix is pushing into rack scale with the introduction of its JetStream I/O cards, which are designed…

  • Simon Willison’s Weblog: Quoting James Luan

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/8/james-luan/ Source: Simon Willison’s Weblog Title: Quoting James Luan Feedly Summary: I recently spoke with the CTO of a popular AI note-taking app who told me something surprising: they spend twice as much on vector search as they do on OpenAI API calls. Think about that for a second. Running the retrieval layer…

  • New York Times – Artificial Intelligence : How to Rethink A.I.

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    Kurt Seifried
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    Source URL: https://www.nytimes.com/2025/09/03/opinion/ai-gpt5-rethinking.html Source: New York Times – Artificial Intelligence Title: How to Rethink A.I. Feedly Summary: Building bigger A.I. isn’t leading to better A.I. AI Summary and Description: Yes Summary: The assertion that creating larger AI systems does not necessarily enhance their efficacy highlights a critical issue within the field of artificial intelligence. This…