| ▲ | mrbungie 5 hours ago | |||||||||||||||||||||||||
It's fun when then you read last Nvidia tweet [1] suggesting that still their tech is better, based on pure vibes as anything in the (Gen)AI-era. | ||||||||||||||||||||||||||
| ▲ | qcnguy 19 minutes ago | parent | next [-] | |||||||||||||||||||||||||
Not vibes. TPUs have fallen behind or had to be redesigned from scratch many times as neural architectures and workloads evolved, whereas the more general purpose GPUs kept on trucking and building on their prior investments. There's a good reason so much research is done on Nvidia clusters and not TPU clusters. TPU has often turned out to be over-specialized and Nvidia are pointing that out. | ||||||||||||||||||||||||||
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| ▲ | bigyabai an hour ago | parent | prev | next [-] | |||||||||||||||||||||||||
> based on pure vibes The tweet gives their justification; CUDA isn't ASIC. Nvidia GPUs were popular for crypto mining, protein folding, and now AI inference too. TPUs are tensor ASICs. FWIW I'm inclined to agree with Nvidia here. Scaling up a systolic array is impressive but nothing new. | ||||||||||||||||||||||||||
| ▲ | almostgotcaught 3 hours ago | parent | prev [-] | |||||||||||||||||||||||||
> NVIDIA is a generation ahead of the industry a generation is 6 months | ||||||||||||||||||||||||||
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