Tag: training tasks
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The Register: AMD’s first crack at Nvidia hampered by half-baked training software, says TensorWave boss
Source URL: https://www.theregister.com/2025/05/14/tensorwave_training_mi325x/ Source: The Register Title: AMD’s first crack at Nvidia hampered by half-baked training software, says TensorWave boss Feedly Summary: Bit barn operator to wedge 8,192 liquid-cooled MI325Xs into AI training cluster Interview After some teething pains, TensorWave CEO Darrick Horton is confident that AMD’s Instinct accelerators are ready to take on large-scale…
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Slashdot: China’s Huawei Develops New AI Chip, Seeking To Match Nvidia
Source URL: https://slashdot.org/story/25/04/28/1727240/chinas-huawei-develops-new-ai-chip-seeking-to-match-nvidia?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: China’s Huawei Develops New AI Chip, Seeking To Match Nvidia Feedly Summary: AI Summary and Description: Yes Summary: Huawei is testing its new AI processor, the Ascend 910D, which aims to compete with Nvidia’s high-end chips. This development highlights the ongoing technological competition between Chinese and U.S. tech firms,…
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AWS News Blog: Maximize accelerator utilization for model development with new Amazon SageMaker HyperPod task governance
Source URL: https://aws.amazon.com/blogs/aws/maximize-accelerator-utilization-for-model-development-with-new-amazon-sagemaker-hyperpod-task-governance/ Source: AWS News Blog Title: Maximize accelerator utilization for model development with new Amazon SageMaker HyperPod task governance Feedly Summary: Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams. AI Summary and Description: Yes Summary: The announcement of Amazon SageMaker HyperPod task governance focuses on…
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Hacker News: MIT researchers develop an efficient way to train more reliable AI agents
Source URL: https://news.mit.edu/2024/mit-researchers-develop-efficiency-training-more-reliable-ai-agents-1122 Source: Hacker News Title: MIT researchers develop an efficient way to train more reliable AI agents Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses an innovative approach developed by MIT researchers to improve the efficiency of reinforcement learning models for decision-making tasks, particularly in traffic signal control. The…
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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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Hacker News: WebRL: Training LLM Web Agents via Self-Evolving Online Reinforcement Learning
Source URL: https://arxiv.org/abs/2411.02337 Source: Hacker News Title: WebRL: Training LLM Web Agents via Self-Evolving Online Reinforcement Learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces WebRL, a novel framework that employs self-evolving online curriculum reinforcement learning to enhance the training of large language models (LLMs) as web agents. This development is…