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Tag: model deployment

  • Slashdot: What are the Carbon Costs of Asking an AI a Question?

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    Kurt Seifried
    in

    Source URL: https://news.slashdot.org/story/25/06/21/1844252/what-are-the-carbon-costs-of-asking-an-ai-a-question?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: What are the Carbon Costs of Asking an AI a Question? Feedly Summary: AI Summary and Description: Yes Summary: The text provides insights into the environmental impact of using artificial intelligence, particularly focusing on energy consumption and carbon costs. It highlights how energy usage varies between AI models and…

  • Simon Willison’s Weblog: Mistral-Small 3.2

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jun/20/mistral-small-32/ Source: Simon Willison’s Weblog Title: Mistral-Small 3.2 Feedly Summary: Mistral-Small 3.2 Released on Hugging Face a couple of hours ago, so far there aren’t any quantizations to run it on a Mac but I’m sure those will emerge pretty quickly. This is a minor bump to Mistral Small 3.1, one of my…

  • Docker: How to Build, Run, and Package AI Models Locally with Docker Model Runner

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/how-to-build-run-and-package-ai-models-locally-with-docker-model-runner/ Source: Docker Title: How to Build, Run, and Package AI Models Locally with Docker Model Runner Feedly Summary: Introduction As a Senior DevOps Engineer and Docker Captain, I’ve helped build AI systems for everything from retail personalization to medical imaging. One truth stands out: AI capabilities are core to modern infrastructure. This…

  • Cloud Blog: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploying-llama4-and-deepseek-on-ai-hypercomputer/ Source: Cloud Blog Title: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes Feedly Summary: The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be  complex and resource-intensive. Developers and…

  • Cloud Blog: Google is a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms report

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gartner-2025-magic-quadrant-for-data-science-and-ml-platforms/ Source: Cloud Blog Title: Google is a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms report Feedly Summary: Today, we are excited to announce that Gartner® has named Google as a Leader in the 2025 Magic Quadrant™ for Data Science and Machine Learning Platforms report (DSML).…

  • Simon Willison’s Weblog: Run Your Own AI

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    Kurt Seifried
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    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…

  • Cloud Blog: The AI-driven telecom: A new era of network transformation

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/telecommunications/the-ai-driven-telecom-a-new-era-of-network-transformation/ Source: Cloud Blog Title: The AI-driven telecom: A new era of network transformation Feedly Summary: The telecommunications industry is undergoing a profound transformation, with AI and generative AI emerging as key catalysts. Communication service providers (CSPs) are increasingly recognizing that these technologies are not merely incremental improvements but fundamental drivers for achieving…

  • Simon Willison’s Weblog: Gemini 2.5: Our most intelligent models are getting even better

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/20/gemini-25/#atom-everything Source: Simon Willison’s Weblog Title: Gemini 2.5: Our most intelligent models are getting even better Feedly Summary: Gemini 2.5: Our most intelligent models are getting even better A bunch of new Gemini 2.5 announcements at Google I/O today. 2.5 Flash and 2.5 Pro are both getting audio output (previously previewed in Gemini…

  • Simon Willison’s Weblog: Trying out llama.cpp’s new vision support

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/10/llama-cpp-vision/#atom-everything Source: Simon Willison’s Weblog Title: Trying out llama.cpp’s new vision support Feedly Summary: This llama.cpp server vision support via libmtmd pull request – via Hacker News – was merged earlier today. The PR finally adds full support for vision models to the excellent llama.cpp project. It’s documented on this page, but the…