Tag: model serving

  • The Register: A closer look at Dynamo, Nvidia’s ‘operating system’ for AI inference

    Source URL: https://www.theregister.com/2025/03/23/nvidia_dynamo/ Source: The Register Title: A closer look at Dynamo, Nvidia’s ‘operating system’ for AI inference Feedly Summary: GPU goliath claims tech can boost throughput by 2x for Hopper, up to 30x for Blackwell GTC Nvidia’s Blackwell Ultra and upcoming Vera and Rubin CPUs and GPUs dominated the conversation at the corp’s GPU…

  • Cloud Blog: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-hypercomputer-4-use-cases-tutorials-and-guides/ Source: Cloud Blog Title: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials Feedly Summary: AI Hypercomputer is a fully integrated supercomputing architecture for AI workloads – and it’s easier to use than you think. In this blog, we break down four common use cases, including reference architectures and…

  • Cloud Blog: How to calculate your AI costs on Google Cloud

    Source URL: https://cloud.google.com/blog/topics/cost-management/unlock-the-true-cost-of-enterprise-ai-on-google-cloud/ Source: Cloud Blog Title: How to calculate your AI costs on Google Cloud Feedly Summary: What is the true cost of enterprise AI? As a technology leader and a steward of company resources, understanding these costs isn’t just prudent – it’s essential for sustainable AI adoption. To help, we’ll unveil a comprehensive…

  • Cloud Blog: Transforming data: How Vodafone Italy modernized its data architecture in the cloud

    Source URL: https://cloud.google.com/blog/topics/telecommunications/vodafone-italy-modernizes-with-amdocs-and-google-cloud/ Source: Cloud Blog Title: Transforming data: How Vodafone Italy modernized its data architecture in the cloud Feedly Summary: Vodafone Italy is reshaping its operations by building a modernized, AI-ready data architecture on Google Cloud, designed to enhance process efficiency, scalability, and real-time data processing. This transformation, powered by Vodafone Italy’s cloud-based platform…

  • Cloud Blog: An SRE’s guide to optimizing ML systems with MLOps pipelines

    Source URL: https://cloud.google.com/blog/products/devops-sre/applying-sre-principles-to-your-mlops-pipelines/ Source: Cloud Blog Title: An SRE’s guide to optimizing ML systems with MLOps pipelines Feedly Summary: Picture this: you’re an Site Reliability Engineer (SRE) responsible for the systems that power your company’s machine learning (ML) services. What do you do to ensure you have a reliable ML service, how do you know…

  • Simon Willison’s Weblog: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens

    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Simon Willison’s Weblog Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Feedly Summary: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Very significant new release from Alibaba’s Qwen team. Their openly licensed (sometimes Apache 2, sometimes Qwen license, I’ve had trouble keeping…

  • Hacker News: Max GPU: A new GenAI native serving stac

    Source URL: https://www.modular.com/blog/introducing-max-24-6-a-gpu-native-generative-ai-platform Source: Hacker News Title: Max GPU: A new GenAI native serving stac Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of MAX 24.6 and MAX GPU, a cutting-edge infrastructure platform designed specifically for Generative AI workloads. It emphasizes innovations in AI infrastructure aimed at improving performance…

  • Cloud Blog: How to deploy and serve multi-host gen AI large open models over GKE

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploy-and-serve-open-models-over-google-kubernetes-engine/ Source: Cloud Blog Title: How to deploy and serve multi-host gen AI large open models over GKE Feedly Summary: Context As generative AI experiences explosive growth fueled by advancements in LLMs (Large Language Models), access to open models is more critical than ever for developers. Open models are publicly available pre-trained foundational…