Tag: workloads

  • Cloud Blog: How Confidential Computing lays the foundation for trusted AI

    Source URL: https://cloud.google.com/blog/products/identity-security/how-confidential-computing-lays-the-foundation-for-trusted-ai/ Source: Cloud Blog Title: How Confidential Computing lays the foundation for trusted AI Feedly Summary: Confidential Computing has redefined how organizations can securely process their sensitive workloads in the cloud. The growth in our hardware ecosystem is fueling a new wave of adoption, enabling customers to use Confidential Computing to support cutting-edge…

  • Scott Logic: Tools for measuring Cloud Carbon Emissions (updated for 2025)

    Source URL: https://blog.scottlogic.com/2025/05/20/tools-for-measuring-cloud-carbon-emissions-updated-for-2025.html Source: Scott Logic Title: Tools for measuring Cloud Carbon Emissions (updated for 2025) Feedly Summary: In this post I’ll discuss ways of estimating the emissions caused by your Cloud workloads as a first step towards reaching your organisation’s Net Zero goals. AI Summary and Description: Yes **Summary:** The text provides a comprehensive…

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

    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,…

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

    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

    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…

  • The Register: Nvidia builds a server to run x86 workloads alongside agentic AI

    Source URL: https://www.theregister.com/2025/05/19/nvidia_rtx_pro_servers/ Source: The Register Title: Nvidia builds a server to run x86 workloads alongside agentic AI Feedly Summary: Wants to be the ‘HR department for agents’ GTC Nvidia has delivered a server design that includes x86 processors and eight GPUs connected by a dedicated switch to run agentic AI alongside mainstream enterprise workloads.……