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@tenderizzation • 5,167 subscribers

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thank you CUDACachingAllocator

thank you CUDACachingAllocator

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prefill with a single token be like

prefill with a single token be like

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the four blackwells in a GB200 node when the CPU isn’t bothering them (they’re all replaying CUDA graph captures)

the four blackwells in a GB200 node when the CPU isn’t bothering them (they’re all replaying CUDA graph captures)

17,773 次观看

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gradient descent navigating the loss landscape
0:27
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gradient descent navigating the loss landscape

tender

224,330 次观看 • 4 个月前

“alignment” researchers making a model relive pure agony token by token, layer by layer, activation by activation until they isolate the source of the crashout
0:40
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“alignment” researchers making a model relive pure agony token by token, layer by layer, activation by activation until they isolate the source of the crashout

tender (mlsys 5/18-21)

259,516 次观看 • 8 个月前

[ENG SUB] how it feels to use eager pytorch in 2025
1:58
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[ENG SUB] how it feels to use eager pytorch in 2025

tender

86,529 次观看 • 7 个月前

the FP8 values in your model after 50 layers of quantize/dequantize operations
0:37
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the FP8 values in your model after 50 layers of quantize/dequantize operations

tender

102,520 次观看 • 11 个月前

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