@informavore_log · Post #3421 · 05/17/2023, 04:30 AM
https://fxtwitter.com/14973154/status/1658378651329777664 #Twitter#liked
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Source channel @githubtrending · Post #14834 · Jun 17
#cuda DeepEP is a special communication library for Mixture-of-Experts (MoE) models. It helps these models work faster and more efficiently by improving how data is shared between different parts of the system. DeepEP supports low-precision operations and can handle data transfer between different types of connections, like NVLink and RDMA. This makes it very useful for both training and using AI models, especially when speed is important. Users benefit from faster processing times and better performance overall. https://github.com/deepseek-ai/DeepEP
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@informavore_log · Post #3421 · 05/17/2023, 04:30 AM
https://fxtwitter.com/14973154/status/1658378651329777664 #Twitter#liked
@informavore_log · Post #3420 · 05/17/2023, 02:45 AM
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@informavore_log · Post #3419 · 05/17/2023, 02:45 AM
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@informavore_log · Post #3418 · 05/17/2023, 02:45 AM
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@informavore_log · Post #3416 · 05/17/2023, 02:45 AM
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@informavore_log · Post #4022 · 06/05/2024, 02:49 PM
法語和德語,哪個更值得學?哪個比較適合中文母語者 ? #YouTube#liked
@informavore_log · Post #4021 · 06/05/2024, 02:49 PM
破除中华文化沙文主义,如何较客观评价中华文明是否优秀? • 老中世界去魅05 | 审时煮茶 #YouTube#liked