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Tag: large models

  • Cloud Blog: Announcing a new monitoring library to optimize TPU performance

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/new-monitoring-library-to-optimize-google-cloud-tpu-resources/ Source: Cloud Blog Title: Announcing a new monitoring library to optimize TPU performance Feedly Summary: For more than a decade, TPUs have powered Google’s most demanding AI training and serving workloads. And there is strong demand from customers for Cloud TPUs as well. When running advanced AI workloads, you need to be…

  • Cloud Blog: Accelerate your AI workloads with the Google Cloud Managed Lustre

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/google-cloud-managed-lustre-for-ai-hpc/ Source: Cloud Blog Title: Accelerate your AI workloads with the Google Cloud Managed Lustre Feedly Summary: Today, we’re making it even easier to achieve breakthrough performance for your AI/ML workloads: Google Cloud Managed Lustre is now GA, and available in four distinct performance tiers that deliver throughput ranging from 125 MB/s, 250…

  • The Register: Tariffs and trade turmoil driving up cost and build times for datacenters

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/07/03/tariffs_and_trade_turmoil_driving/ Source: The Register Title: Tariffs and trade turmoil driving up cost and build times for datacenters Feedly Summary: Biz needs AI infra for training ever larger models, but something’s gotta give World War Fee Datacenter operators in Northern Europe say US tariffs and growing global geopolitical instability are inflating costs and causing…

  • Cloud Blog: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploying-llama4-and-deepseek-on-ai-hypercomputer/ Source: Cloud Blog Title: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes Feedly Summary: The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be  complex and resource-intensive. Developers and…

  • Docker: How to Make an AI Chatbot from Scratch using Docker Model Runner

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/how-to-make-ai-chatbot-from-scratch/ Source: Docker Title: How to Make an AI Chatbot from Scratch using Docker Model Runner Feedly Summary: Today, we’ll show you how to build a fully functional Generative AI chatbot using Docker Model Runner and powerful observability tools, including Prometheus, Grafana, and Jaeger. We’ll walk you through the common challenges developers face…

  • Cloud Blog: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-inference-updates-for-google-cloud-tpu-and-gpu/ Source: Cloud Blog Title: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer Feedly Summary: From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today. As the number of generative AI applications…

  • Cloud Blog: Announcing new Vertex AI Prediction Dedicated Endpoints

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/reliable-ai-with-vertex-ai-prediction-dedicated-endpoints/ Source: Cloud Blog Title: Announcing new Vertex AI Prediction Dedicated Endpoints Feedly Summary: For AI developers building cutting-edge applications with large model sizes, a reliable foundation is non-negotiable. You need your AI to perform consistently, delivering results without hiccups, even under pressure. This means having dedicated resources that won’t get bogged down…

  • Cloud Blog: New GKE inference capabilities reduce costs, tail latency and increase throughput

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/understanding-new-gke-inference-capabilities/ Source: Cloud Blog Title: New GKE inference capabilities reduce costs, tail latency and increase throughput Feedly Summary: When it comes to AI, inference is where today’s generative AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing increasing adoption of gen AI inference. For example, customers like HubX run…