training jobs – Experimental News Clipping Site

Cloud Blog: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs

Aug 19, 2025

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Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/kakaos-journey-with-jax-and-cloud-tpus/ Source: Cloud Blog Title: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs Feedly Summary: When your messaging platform serves 49 million people – 93% of South Korea’s population – every technical decision carries enormous weight. The engineering team at Kakao faced exactly this challenge when their existing…

Cloud Blog: New Cluster Director features: Simplified GUI, managed Slurm, advanced observability

Jul 24, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/products/compute/managed-slurm-and-other-cluster-director-enhancements/ Source: Cloud Blog Title: New Cluster Director features: Simplified GUI, managed Slurm, advanced observability Feedly Summary: In April, we released Cluster Director, a unified management plane that makes deploying and managing large-scale AI infrastructure simpler and more intuitive than ever before, putting the power of an AI supercomputer at your fingertips. Today,…

Cloud Blog: AI/ML-ready Apache Spark with Dataproc

Jul 17, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/products/data-analytics/dataproc-features-enable-aiml-ready-apache-spark/ Source: Cloud Blog Title: AI/ML-ready Apache Spark with Dataproc Feedly Summary: Apache Spark is the cornerstone for large-scale data processing, model training, and inference for AI/ML workloads. Yet, the complexities of environment configuration, dependency management, and MLOps integration can slow you down. To accelerate your AI/ML journey, Dataproc now delivers powerful, ML-ready…

Cloud Blog: Save early and often with multi-tier checkpointing to optimize large AI training jobs

Jun 16, 2025

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by

Kurt Seifried

in Uncategorized

Source URL: https://cloud.google.com/blog/products/ai-machine-learning/using-multi-tier-checkpointing-for-large-ai-training-jobs/ Source: Cloud Blog Title: Save early and often with multi-tier checkpointing to optimize large AI training jobs Feedly Summary: As foundation model training infrastructure scales to tens of thousands of accelerators, efficient utilization of those high-value resources becomes paramount. In particular, as the cluster gets larger, hardware failures become more frequent (~…

Tag: training jobs

Cloud Blog: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs

Cloud Blog: New Cluster Director features: Simplified GUI, managed Slurm, advanced observability

Cloud Blog: AI/ML-ready Apache Spark with Dataproc

Cloud Blog: Save early and often with multi-tier checkpointing to optimize large AI training jobs