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Tag: pytorch

  • Cloud Blog: Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/elastic-training-and-optimized-checkpointing-improve-ml-goodput/ Source: Cloud Blog Title: Train AI for less: Improve ML Goodput with elastic training and optimized checkpointing Feedly Summary: Want to save some money on large AI training? For a typical PyTorch LLM training workload that spans thousands of accelerators for several weeks, a 1% improvement in ML Goodput can translate to…

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

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    Kurt Seifried
    in

    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…

  • Cloud Blog: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-enhancements-for-the-developer/ Source: Cloud Blog Title: AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger Feedly Summary: Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous…

  • Slashdot: Microsoft Brings Native PyTorch Arm Support To Windows Devices

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/04/24/2050230/microsoft-brings-native-pytorch-arm-support-to-windows-devices?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft Brings Native PyTorch Arm Support To Windows Devices Feedly Summary: AI Summary and Description: Yes Summary: Microsoft’s release of PyTorch 2.7 with native support for Windows on Arm devices marks a significant development for machine learning practitioners, particularly those focusing on AI tasks. This update enhances the ease…

  • Simon Willison’s Weblog: Gemma 3 QAT Models

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/19/gemma-3-qat-models/ Source: Simon Willison’s Weblog Title: Gemma 3 QAT Models Feedly Summary: Gemma 3 QAT Models Interesting release from Google, as a follow-up to Gemma 3 from last month: To make Gemma 3 even more accessible, we are announcing new versions optimized with Quantization-Aware Training (QAT) that dramatically reduces memory requirements while maintaining…

  • Cloud Blog: 229 things we announced at Google Cloud Next 25 – a recap

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/google-cloud-next-2025-wrap-up/ Source: Cloud Blog Title: 229 things we announced at Google Cloud Next 25 – a recap Feedly Summary: Google Cloud Next 25 took place this week and we’re all still buzzing! It was a jam-packed week in Las Vegas complete with interactive experiences, including more than 10 keynotes and spotlights, 700 sessions,…

  • Cloud Blog: High performance storage innovations for your AI workloads

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/high-performance-storage-innovations-for-ai-hpc/ Source: Cloud Blog Title: High performance storage innovations for your AI workloads Feedly Summary: The high-performance storage stack in AI Hypercomputer incorporates learnings from geographic regions, zones, and GPU/TPU architectures, to create an agile, economical, integrated storage architecture. Recently, we’ve made several innovations to improve accelerator utilization with high-performance storage, helping you…

  • Cloud Blog: Introducing Ironwood TPUs and new innovations in AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/whats-new-with-ai-hypercomputer/ Source: Cloud Blog Title: Introducing Ironwood TPUs and new innovations in AI Hypercomputer Feedly Summary: Today’s innovation isn’t born in a lab or at a drafting board; it’s built on the bedrock of AI infrastructure. AI workloads have new and unique demands — addressing these requires a finely crafted combination of hardware…

  • Cloud Blog: Anyscale powers AI compute for any workload using Google Compute Engine

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/anyscale-powers-ai-compute-for-any-workload-using-google-compute-engine/ Source: Cloud Blog Title: Anyscale powers AI compute for any workload using Google Compute Engine Feedly Summary: Over the past decade, AI has evolved at a breakneck pace, turning from a futuristic dream into a tool now accessible to everyone. One of the technologies that opened up this new era of AI…