Tag: Machine Learning
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Cloud Blog: Transforming DoD’s data utilization with generative AI
Source URL: https://cloud.google.com/blog/topics/public-sector/transforming-dods-data-utilization-with-generative-ai/ Source: Cloud Blog Title: Transforming DoD’s data utilization with generative AI Feedly Summary: Generative AI presents both immense opportunities and challenges for the Department of Defense (DoD). The potential to enhance situational awareness, streamline tasks, and improve decision-making is significant. However, the DoD’s unique requirements, especially their stringent security standards for cloud…
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Hacker News: Farewell and thank you for the continued partnership, Francois Chollet
Source URL: https://developers.googleblog.com/en/farewell-and-thank-you-for-the-continued-partnership-francois-chollet/ Source: Hacker News Title: Farewell and thank you for the continued partnership, Francois Chollet Feedly Summary: Comments AI Summary and Description: Yes Summary: The announcement highlights Francois Chollet’s career transition from Google, emphasizing his contributions to the Keras library and its critical role in AI development. It showcases Google’s ongoing commitment to…
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The Register: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100
Source URL: https://www.theregister.com/2024/11/13/nvidia_b200_performance/ Source: The Register Title: Nvidia’s MLPerf submission shows B200 offers up to 2.2x training performance of H100 Feedly Summary: Is Huang leaving even more juice on the table by opting for mid-tier Blackwell part? Signs point to yes Analysis Nvidia offered the first look at how its upcoming Blackwell accelerators stack up…
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Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting/ Source: Cloud Blog Title: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models Feedly Summary: As generative AI evolves, we’re beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching…
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Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis
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…
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The Register: HPE goes Cray for Nvidia’s Blackwell GPUs, crams 224 into a single cabinet
Source URL: https://www.theregister.com/2024/11/13/hpe_cray_ex/ Source: The Register Title: HPE goes Cray for Nvidia’s Blackwell GPUs, crams 224 into a single cabinet Feedly Summary: Meanwhile, HPE’s new ProLiant servers offer choice of Gaudi, Hopper, or Instinct acceleration If you thought Nvidia’s 120 kW NVL72 racks were compute dense with 72 Blackwell accelerators, they have nothing on HPE…
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The Register: AWS opens cluster of 40K Trainium AI accelerators to researchers
Source URL: https://www.theregister.com/2024/11/12/aws_trainium_researchers/ Source: The Register Title: AWS opens cluster of 40K Trainium AI accelerators to researchers Feedly Summary: Throwing novel hardware at academia. It’s a tale as old as time Amazon wants more people building applications and frameworks for its custom Trainium accelerators and is making up to 40,000 chips available to university researchers…
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Hacker News: Visual inference exploration and experimentation playground
Source URL: https://github.com/devidw/inferit Source: Hacker News Title: Visual inference exploration and experimentation playground Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces “inferit,” a tool designed for large language model (LLM) inference that enables users to visually compare outputs from various models, prompts, and settings. It stands out by allowing unlimited side-by-side…