jolieli

44 ms·

1.
by jolieli 2y ago
I built an open-source project to recommend the best computing resource configuration for ai application, but no reply or feedback at all. So I wonder if AI application developers care about their GPU utilization now? Or I target the wrong
2.
by jolieli 2y ago
I built an open-source project to recommend the best computing resource configuration for ai application, but no reply or feedback at all. So I wonder if AI application developers care about their GPU utilization now? Or did I target the w
3.
Show HN: I found a way to increase the perforamce of GPU cluster scheduling(github.com)
2 points by jolieli 2y ago|1 comments
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Ask HN: Will there be chips that are more efficient than GPUs for AI computing?
2 points by jolieli 2y ago|2 comments
5.
by jolieli 2y ago
Valid point. Scaling up seems to be the default approach for many AI companies to enhance performance, albeit with potential environmental concerns. While transitioning to more specialized chip architectures might mitigate power usage to so
6.
by jolieli 2y ago
sounds terrific. we can see the model companies are seeking ways to improve the model performance as the priority currently. More computing power is needed now. I do agree with your two ideas, but I am concerning a lot about whether the cur
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Ask HN: Will AI tech, like LLM, keep needing tons of computing power?
5 points by jolieli 2y ago|12 comments
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AI Needs Enormous Computing Power. Could Light-Based Chips Help?(quantamagazine.org)
45 points by jolieli 2y ago|40 comments