Tag: bandwidth
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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: 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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Hacker News: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP
Source URL: https://epochai.org/blog/data-movement-bottlenecks-scaling-past-1e28-flop Source: Hacker News Title: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text explores the limitations and challenges of scaling large language models (LLMs) in distributed training environments. It highlights critical technological constraints related to data movement both…
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Slashdot: How Samsung Fell Behind in the AI Boom – and Lost $126 Billion in Market Value
Source URL: https://hardware.slashdot.org/story/24/11/09/1853256/how-samsung-fell-behind-in-the-ai-boom—and-lost-126-billion-in-market-value?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: How Samsung Fell Behind in the AI Boom – and Lost $126 Billion in Market Value Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Samsung’s financial struggles and its failure to capitalize on the AI boom, particularly in the high-bandwidth memory (HBM) sector critical for AI…
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Hacker News: Perceptually lossless (talking head) video compression at 22kbit/s
Source URL: https://mlumiste.com/technical/liveportrait-compression/ Source: Hacker News Title: Perceptually lossless (talking head) video compression at 22kbit/s Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the recent advancements in the LivePortrait model for animating still images and its implications for video compression, particularly in the realm of deepfake technology. This innovation presents significant…