Experimental News Clipping Site

Tag: Costs

  • CSA: Security Framework for Small Cloud Providers

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/articles/csa-releases-comprehensive-eato-framework-to-address-security-challenges-for-small-cloud-providers Source: CSA Title: Security Framework for Small Cloud Providers Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the challenges faced by small and mid-sized cloud service providers in meeting security and compliance standards, particularly in highly regulated industries. It introduces the Cloud Security Alliance’s Enterprise Authority to Operate (EATO)…

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

    —

    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: AI deployment made easy: Deploy your app to Cloud Run from AI Studio or MCP-compatible AI agents

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-studio-to-cloud-run-and-cloud-run-mcp-server/ Source: Cloud Blog Title: AI deployment made easy: Deploy your app to Cloud Run from AI Studio or MCP-compatible AI agents Feedly Summary: Cloud Run has become a go-to app hosting solution for its remarkable simplicity, flexibility, and scalability. But the age of AI-assisted development is here, and going from idea to…

  • 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: SAP & Google Cloud: Enabling faster value and smarter innovation for business excellence

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/sap-google-cloud/google-cloud-at-sap-sapphire-2025/ Source: Cloud Blog Title: SAP & Google Cloud: Enabling faster value and smarter innovation for business excellence Feedly Summary: SAP and Google Cloud are deepening their collaboration across data analytics, AI, security, and more to deliver what customers need most: faster paths to business value, lower risk on complex projects, and smart,…

  • Cisco Security Blog: Simplifying Zero Trust: How Cisco Security Suites Drive Value

    —

    by

    Kurt Seifried
    in

    Source URL: https://feedpress.me/link/23535/17034494/how-cisco-security-suites-drive-value Source: Cisco Security Blog Title: Simplifying Zero Trust: How Cisco Security Suites Drive Value Feedly Summary: Discover how Cisco Security Suites are helping organizations achieve zero trust while realizing significant cost savings, improved productivity, and a 110% ROI. AI Summary and Description: Yes Summary: The provided text discusses Cisco Security Suites’ role…

  • Cloud Blog: Introducing the next generation of AI inference, powered by llm-d

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/enhancing-vllm-for-distributed-inference-with-llm-d/ Source: Cloud Blog Title: Introducing the next generation of AI inference, powered by llm-d Feedly Summary: As the world transitions from prototyping AI solutions to deploying AI at scale, efficient AI inference is becoming the gating factor. Two years ago, the challenge was the ever-growing size of AI models. Cloud infrastructure providers…

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

    —

    by

    Kurt Seifried
    in

    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

    —

    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-enhancements-for-the-developer/ Source: Cloud Blog Title: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger Feedly Summary: Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous…