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Tag: cost implications

  • Simon Willison’s Weblog: claude-trace

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/2/claude-trace/ Source: Simon Willison’s Weblog Title: claude-trace Feedly Summary: claude-trace I’ve been thinking for a while it would be interesting to run some kind of HTTP proxy against the Claude Code CLI app and take a peek at how it works. Mario Zechner just published a really nice version of that. It works…

  • Cloud Blog: Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/elastic-training-and-optimized-checkpointing-improve-ml-goodput/ Source: Cloud Blog Title: Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing Feedly Summary: Want to save some money on large AI training? For a typical PyTorch LLM training workload that spans thousands of accelerators for several weeks, a 1% improvement in ML Goodput can translate to…

  • The Register: ‘Close to impossible’ for Europe to escape clutches of US hyperscalers

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/05/22/ditching_us_clouds_for_local/ Source: The Register Title: ‘Close to impossible’ for Europe to escape clutches of US hyperscalers Feedly Summary: Barriers stack up: Datacenter capacity, egress fees, platform skills, variety of cloud services. It won’t happen, say analysts European organizations wanting to break free of American cloud operators may find their hopes dashed, according to…

  • The Register: Wanted: A handy metric for gauging if GPUs are being used optimally

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/05/20/gpu_metric/ Source: The Register Title: Wanted: A handy metric for gauging if GPUs are being used optimally Feedly Summary: Even well-optimized models only likely to use 35 to 45% of compute the silicon can deliver GPU accelerators used in AI processing are costly items, so making sure you get the best usage out…

  • CSA: Open vs. Closed-Source AI Guide

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    Kurt Seifried
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    Source URL: https://koat.ai/open-source-models-vs-closed-source-models-a-simple-guide/ Source: CSA Title: Open vs. Closed-Source AI Guide Feedly Summary: AI Summary and Description: Yes Summary: The text provides a comprehensive analysis of the differences between open-source and closed-source AI models, highlighting their implications for data privacy, customization, costs, support, and security needs. This is particularly relevant for security and compliance professionals…

  • Scott Logic: An SBOM primer with some practical insights

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    Kurt Seifried
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    Source URL: https://blog.scottlogic.com/2025/05/16/sbom-primer-practical-insights.html Source: Scott Logic Title: An SBOM primer with some practical insights Feedly Summary: We’ve been generating Software Bills of Materials (SBOMs) on client projects for several years now, and we’d like to share insights into the positive impact they’ve had on security, resilience and engineering quality, along with some considerations to bear…

  • Slashdot: AI Compute Costs Drive Shift To Usage-Based Software Pricing

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/04/24/1650227/ai-compute-costs-drive-shift-to-usage-based-software-pricing?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Compute Costs Drive Shift To Usage-Based Software Pricing Feedly Summary: AI Summary and Description: Yes Summary: The software-as-a-service (SaaS) industry is transitioning from traditional “per seat” licensing to usage-based pricing models due to the high compute costs of advanced reasoning AI models. This transformation is crucial for understanding…