Experimental News Clipping Site

Tag: distributed computing

  • 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…

  • Cloud Blog: Google Cloud at GTC: A4 VMs now generally available, A4X VMs in preview

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/google-cloud-goes-to-nvidia-gtc/ Source: Cloud Blog Title: Google Cloud at GTC: A4 VMs now generally available, A4X VMs in preview Feedly Summary: At Google Cloud, we’re thrilled to return to NVIDIA’s GTC AI Conference in San Jose CA this March 17-21 with our largest presence ever. The annual conference brings together thousands of developers, innovators,…

  • Cloud Blog: Blackwell is here — new A4 VMs powered by NVIDIA B200 now in preview

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/introducing-a4-vms-powered-by-nvidia-b200-gpu-aka-blackwell/ Source: Cloud Blog Title: Blackwell is here — new A4 VMs powered by NVIDIA B200 now in preview Feedly Summary: Modern AI workloads require powerful accelerators and high-speed interconnects to run sophisticated model architectures on an ever-growing diverse range of model sizes and modalities. In addition to large-scale training, these complex models…

  • Simon Willison’s Weblog: Run DeepSeek R1 or V3 with MLX Distributed

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/22/mlx-distributed/ Source: Simon Willison’s Weblog Title: Run DeepSeek R1 or V3 with MLX Distributed Feedly Summary: Run DeepSeek R1 or V3 with MLX Distributed Handy detailed instructions from Awni Hannun on running the enormous DeepSeek R1 or v3 models on a cluster of Macs using the distributed communication feature of Apple’s MLX library.…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

  • Cloud Blog: The Year in Google Cloud – 2024

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    system automation
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    Source URL: https://cloud.google.com/blog/products/gcp/top-google-cloud-blogs/ Source: Cloud Blog Title: The Year in Google Cloud – 2024 Feedly Summary: If you’re a regular reader of this blog, you know that 2024 was a busy year for Google Cloud. From AI to Zero Trust, and everything in between, here’s a chronological recap of our top blogs of 2024, according…

  • Cloud Blog: Orchestrating GPU-based distributed training workloads on AI Hypercomputer

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gpu-orchestration-options-on-ai-hypercomputer/ Source: Cloud Blog Title: Orchestrating GPU-based distributed training workloads on AI Hypercomputer Feedly Summary: When it comes to AI, large language models (LLMs) and machine learning (ML) are taking entire industries to the next level. But with larger models and datasets, developers need distributed environments that span multiple AI accelerators (e.g. GPUs…

  • Cloud Blog: Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine

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    system automation
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/moloco-uses-gke-and-tpus-for-ml-workloads/ Source: Cloud Blog Title: Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine Feedly Summary: In today’s congested digital landscape, businesses of all sizes face the challenge of optimizing their marketing budgets. They must find ways to stand out amid the bombardment of messages vying for potential customers’ attention.…

  • Hacker News: AMD Releases ROCm Version 6.3

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    system automation
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    Source URL: https://insidehpc.com/2024/11/amd-releases-rocm-version-6-3/ Source: Hacker News Title: AMD Releases ROCm Version 6.3 Feedly Summary: Comments AI Summary and Description: Yes Summary: AMD’s ROCm Version 6.3 enhances AI and HPC workloads through its advanced features like SGLang for generative AI, optimized FlashAttention-2, integration of the AMD Fortran compiler, and new multi-node FFT support. This release is…

  • Simon Willison’s Weblog: Amazon S3 adds new functionality for conditional writes

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    system automation
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    Source URL: https://simonwillison.net/2024/Nov/26/s3-conditional-writes/#atom-everything Source: Simon Willison’s Weblog Title: Amazon S3 adds new functionality for conditional writes Feedly Summary: Amazon S3 adds new functionality for conditional writes Amazon S3 can now perform conditional writes that evaluate if an object is unmodified before updating it. This helps you coordinate simultaneous writes to the same object and prevents…