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Tag: machine learning workloads

  • Slashdot: AMD Reveals RDNA 4 GPU Architecture Powering Next Gen Radeon RX 9070 Cards

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    Kurt Seifried
    in

    Source URL: https://slashdot.org/story/25/03/01/209255/amd-reveals-rdna-4-gpu-architecture-powering-next-gen-radeon-rx-9070-cards?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AMD Reveals RDNA 4 GPU Architecture Powering Next Gen Radeon RX 9070 Cards Feedly Summary: AI Summary and Description: Yes Summary: AMD has unveiled its RDNA 4 graphics architecture, significantly boosting efficiency and performance for ray-traced gaming and AI workloads. With enhanced ray tracing capabilities and dedicated hardware for…

  • Slashdot: The IRS Is Buying an AI Supercomputer From Nvidia

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/02/15/0540249/the-irs-is-buying-an-ai-supercomputer-from-nvidia?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: The IRS Is Buying an AI Supercomputer From Nvidia Feedly Summary: AI Summary and Description: Yes Summary: The IRS is set to acquire an Nvidia SuperPod AI supercomputer to enhance its machine-learning capabilities, particularly in fraud detection and taxpayer behavior analysis. This investment signifies a notable step in government…

  • Cloud Blog: Privacy-preserving Confidential Computing now on even more machines and services

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/privacy-preserving-confidential-computing-now-on-even-more-machines/ Source: Cloud Blog Title: Privacy-preserving Confidential Computing now on even more machines and services Feedly Summary: Organizations are increasingly using Confidential Computing to help protect their sensitive data in use as part of their data protection efforts. Today, we are excited to highlight new Confidential Computing capabilities that make it easier for…

  • Cloud Blog: Migrate Oracle-based applications to Google Cloud and simplify operations

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/tips-for-migrating-oracle-based-applications-to-google-cloud/ Source: Cloud Blog Title: Migrate Oracle-based applications to Google Cloud and simplify operations Feedly Summary: Last year, Google Cloud and Oracle forged a strategic partnership to accelerate cloud transformation for businesses, allowing them to integrate Oracle’s robust database capabilities within Google Cloud’s environment. This partnership applies to Oracle databases, as well as…

  • Hacker News: MI300X vs. H100 vs. H200 Benchmark Part 1: Training – CUDA Moat Still Alive

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    system automation
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    Source URL: https://semianalysis.com/2024/12/22/mi300x-vs-h100-vs-h200-benchmark-part-1-training/ Source: Hacker News Title: MI300X vs. H100 vs. H200 Benchmark Part 1: Training – CUDA Moat Still Alive Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text offers a comprehensive analysis of AMD’s MI300X compared to Nvidia’s H100 and H200 in the realm of GPU performance, emphasizing the gaps in…

  • 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.…

  • Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis

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    system automation
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    Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…