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Andrej Karpathy on Tensor Cores and TF32 precision
112,983 views • 1 year ago •via X (Twitter)
9 Comments

Tommy Falkowski1 year ago
He's an awesome teacher! I just love his clean style of explaining things!

ℏεsam1 year ago
he really has it in him

Konstantin1 year ago
Can you share a full source please?

rogue node1 year ago
So basically TF32 is a lie.

Jacob Posel1 year ago
Where does he post this?

john1 year ago
Lmao what are the odds that the moment I get to this part of the video on my first time watch, i see this on twitter right after

ℏεsam1 year ago
i'm watching you :)

Felix Chin MD1 year ago
TF32 just means ur neural net’s matmuls are running on 18-bit numerics (FP 18 precision) apple (mlx) easily lets u control this (by setting intermediate weights and values to FP 16) don’t see how TF32 is anything special. seems like a marketing gimmick

MarcoDagna e/acc 🇪🇸 ⌛️🌍1 year ago
@HeyGenLabs english spanish
