Tag: benchmarking
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Docker: From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows
Source URL: https://www.docker.com/blog/ai-science-agents-research-workflows/ Source: Docker Title: From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows Feedly Summary: It’s 2 AM in a lab somewhere. A researcher has three terminals open, a half-written Jupyter notebook on one screen, an Excel sheet filled with sample IDs on another, and a half-eaten snack next…
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Cloud Blog: Setting new expectations: Benchmarking high-performance trading with C3 machines
Source URL: https://cloud.google.com/blog/products/compute/benchmarking-c3-machine-types-for-trading-firms-with-28stone/ Source: Cloud Blog Title: Setting new expectations: Benchmarking high-performance trading with C3 machines Feedly Summary: Trading in capital markets demands peak compute performance, with every microsecond impacting critical decisions and market outcomes. At Google Cloud, we’re committed to providing global markets with the cutting-edge infrastructure they need to create and participate in…
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Cloud Blog: Scaling high-performance inference cost-effectively
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gke-inference-gateway-and-quickstart-are-ga/ Source: Cloud Blog Title: Scaling high-performance inference cost-effectively Feedly Summary: At Google Cloud Next 2025, we announced new inference capabilities with GKE Inference Gateway, including support for vLLM on TPUs, Ironwood TPUs, and Anywhere Cache. Our inference solution is based on AI Hypercomputer, a system built on our experience running models like…
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Cloud Blog: Start and scale your apps faster with improved container image streaming in GKE
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improving-gke-container-image-streaming-for-faster-app-startup/ Source: Cloud Blog Title: Start and scale your apps faster with improved container image streaming in GKE Feedly Summary: In today’s fast-paced cloud-native world, the speed at which your applications can start and scale is paramount. Faster pod startup times mean quicker responses to user demand, more efficient resource utilization, and a…