Tag: Costs

Source URL: https://simonwillison.net/2025/Sep/12/qwen3-next/#atom-everything Source: Simon Willison’s Weblog Title: Qwen3-Next-80B-A3B: 🐧🦩 Who needs legs?! Feedly Summary: Qwen3-Next-80B-A3B Qwen announced two new models via their Twitter account (nothing on their blog yet): Qwen3-Next-80B-A3B-Instruct and Qwen3-Next-80B-A3B-Thinking. They make some big claims on performance: Qwen3-Next-80B-A3B-Instruct approaches our 235B flagship. Qwen3-Next-80B-A3B-Thinking outperforms Gemini-2.5-Flash-Thinking. The name “80B-A3B" indicates 80 billion parameters…

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

Sep 11, 2025

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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: Scaling high-performance inference cost-effectively

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gke-inference-gateway-and-quickstart-are-ga/ Source: Cloud Blog Title: Scaling high-performance inference cost-effectively Feedly Summary: At Google Cloud Next 2025, we announced new inference capabilities with GKE Inference Gateway, including support for vLLM on TPUs, Ironwood TPUs, and Anywhere Cache. Our inference solution is based on AI Hypercomputer, a system built on our experience running models like…

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

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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…

The Register: Nvidia’s context-optimized Rubin CPX GPUs were inevitable

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Source URL: https://www.theregister.com/2025/09/10/nvidia_rubin_cpx/ Source: The Register Title: Nvidia’s context-optimized Rubin CPX GPUs were inevitable Feedly Summary: Why strap pricey, power-hungry HBM to a job that doesn’t benefit from the bandwidth? Analysis Nvidia on Tuesday unveiled the Rubin CPX, a GPU designed specifically to accelerate extremely long-context AI workflows like those seen in code assistants such…

Cloud Blog: Introducing no-cost, multicloud Data Transfer Essentials for EU and U.K. customers

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Source URL: https://cloud.google.com/blog/products/networking/new-for-the-uk-and-eu-no-cost-multicloud-data-transfer-essentials/ Source: Cloud Blog Title: Introducing no-cost, multicloud Data Transfer Essentials for EU and U.K. customers Feedly Summary: At Google Cloud, our services are built with interoperability and openness in mind to enable customer choice and multicloud strategies. We pioneered a multicloud data warehouse, enabling workloads to run across clouds. We were the…

Scott Logic: Reading The Gentle Singularity Through a Sustainability Lens

Sep 9, 2025

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Source URL: https://blog.scottlogic.com/2025/09/09/reading-the-gentle-singularity-through-a-sustainability-lens.html Source: Scott Logic Title: Reading The Gentle Singularity Through a Sustainability Lens Feedly Summary: Sam Altman says AI will cost as little as electricity—but what’s the real environmental impact of billions of queries a day? In this post I dig into the numbers from the blog post “The Gentle Singularity" and compare…

Cloud Blog: Accelerate data science with new Dataproc multi-tenant clusters

Sep 9, 2025

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Source URL: https://cloud.google.com/blog/products/data-analytics/announcing-dataproc-multi-tenant-clusters/ Source: Cloud Blog Title: Accelerate data science with new Dataproc multi-tenant clusters Feedly Summary: With the rapid growth of AI/ML, data science teams need a better notebook experience to meet the growing demand for and importance of their work to drive innovation. Additionally, scaling data science workloads also creates new challenges for…

Simon Willison’s Weblog: Anthropic status: Model output quality

Sep 9, 2025

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