Tag: high-bandwidth memory
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Hacker News: Trillium TPU Is GA
Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga Source: Hacker News Title: Trillium TPU Is GA Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of Google’s latest TPU, Trillium, which is tailored for large-scale AI workloads, focusing on its advancements in computational power, energy efficiency, and training capabilities. This is crucial for organizations leveraging…
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The Register: Biden administration bars China from buying HBM chips critical for AI accelerators
Source URL: https://www.theregister.com/2024/12/03/biden_hbm_china_export_ban/ Source: The Register Title: Biden administration bars China from buying HBM chips critical for AI accelerators Feedly Summary: 140 Middle Kingdom firms added to US trade blacklist The Biden administration has announced restrictions limiting the export of memory critical to the production of AI accelerators and banning sales to more than a…
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Wired: The US Just Made It Way Harder for China to Build Its Own AI Chips
Source URL: https://www.wired.com/story/2024-chips-export-controls-china/ Source: Wired Title: The US Just Made It Way Harder for China to Build Its Own AI Chips Feedly Summary: The Biden administration announced a sweeping set of new export controls that will make it harder for Chinese companies like Huawei and ByteDance to develop cutting-edge artificial intelligence. AI Summary and Description:…
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Wired: US to Introduce New Restrictions on China’s Access to Cutting-Edge Chips
Source URL: https://www.wired.com/story/memory-restrictions-china-advanced-chips/ Source: Wired Title: US to Introduce New Restrictions on China’s Access to Cutting-Edge Chips Feedly Summary: The new limits, which are expected to be announced Monday, are intended to slow China’s ability to build large and powerful AI models. AI Summary and Description: Yes Summary: The text outlines the Biden administration’s impending…
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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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The Register: With record revenue, SK hynix brushes off suggestion of AI chip oversupply
Source URL: https://www.theregister.com/2024/10/24/sk_hynix_q3_24/ Source: The Register Title: With record revenue, SK hynix brushes off suggestion of AI chip oversupply Feedly Summary: How embarrassing for Samsung SK hynix posted on Wednesday what it called its “highest revenue since its foundation" for Q3 2024 as it pledged to continue minuting more AI chips.… AI Summary and Description:…
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The Register: Samsung releases 24Gb GDDR7 DRAM for testing in beefy AI systems
Source URL: https://www.theregister.com/2024/10/17/samsung_gddr7_dram_chip/ Source: The Register Title: Samsung releases 24Gb GDDR7 DRAM for testing in beefy AI systems Feedly Summary: Production slated for Q1 2025, barring any hiccups Samsung has finally stolen a march in the memory market with 24 Gb GDDR7 DRAM being released for validation in AI computing systems from GPU customers before…