Experimental News Clipping Site

Tag: model optimization

  • Cloud Blog: Supercharge ML performance on xPUs with the new XProf profiler and Cloud Diagnostics XProf library

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/supercharge-ml-performance-on-xpus-with-the-new-xprof-profiler-and-cloud-diagnostics-xprof-library/ Source: Cloud Blog Title: Supercharge ML performance on xPUs with the new XProf profiler and Cloud Diagnostics XProf library Feedly Summary: Are you spending more time debugging ML model performance than you are building? You’re not alone. In today’s fast-paced AI landscape, optimizing models is a complex challenge, from navigating new model…

  • Cloud Blog: How Baseten achieves 225% better cost-performance for AI inference (and you can too)

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-baseten-achieves-better-cost-performance-for-ai-inference/ Source: Cloud Blog Title: How Baseten achieves 225% better cost-performance for AI inference (and you can too) Feedly Summary: Baseten is one of a growing number of AI infrastructure providers, helping other startups run their models and experiments at speed and scale. Given the importance of those two factors to its customers,…

  • The Register: Tinker with LLMs in the privacy of your own home using Llama.cpp

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/08/24/llama_cpp_hands_on/ Source: The Register Title: Tinker with LLMs in the privacy of your own home using Llama.cpp Feedly Summary: Everything you need to know to build, run, serve, optimize and quantize models on your PC Hands on Training large language models (LLMs) may require millions or even billion of dollars of infrastructure, but…

  • Simon Willison’s Weblog: Quoting Sam Altman

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/8/sam-altman/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Sam Altman Feedly Summary: GPT-5 rollout updates: We are going to double GPT-5 rate limits for ChatGPT Plus users as we finish rollout. We will let Plus users choose to continue to use 4o. We will watch usage as we think about how long to offer…

  • Cloud Blog: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/supercharge-your-ai-gke-inference-reference-architecture-your-blueprint-for-production-ready-inference/ Source: Cloud Blog Title: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference Feedly Summary: The age of AI is here, and organizations everywhere are racing to deploy powerful models to drive innovation, enhance products, and create entirely new user experiences. But moving from a trained model in a…

  • Simon Willison’s Weblog: Introducing Gemma 3n: The developer guide

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/26/gemma-3n/ Source: Simon Willison’s Weblog Title: Introducing Gemma 3n: The developer guide Feedly Summary: Introducing Gemma 3n: The developer guide Extremely consequential new open weights model release from Google today: Multimodal by design: Gemma 3n natively supports image, audio, video, and text inputs and text outputs. Optimized for on-device: Engineered with a focus…

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

    —

    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: Google AI Edge Portal: On-device machine learning testing at scale

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-edge-portal-brings-on-device-ml-testing-at-scale/ Source: Cloud Blog Title: Google AI Edge Portal: On-device machine learning testing at scale Feedly Summary: Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale.  Machine learning on mobile devices enables amazing app experiences. But…

  • Cloud Blog: 229 things we announced at Google Cloud Next 25 – a recap

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/google-cloud-next-2025-wrap-up/ Source: Cloud Blog Title: 229 things we announced at Google Cloud Next 25 – a recap Feedly Summary: Google Cloud Next 25 took place this week and we’re all still buzzing! It was a jam-packed week in Las Vegas complete with interactive experiences, including more than 10 keynotes and spotlights, 700 sessions,…