Hacker News new | ask | show | jobs
by justapassenger 1749 days ago
> Of this competition, only Google and Nvidia have supercomputers that stand toe to toe with the Tesla’s

Even assuming that it's true (which I very much doubt - anyone that's willing to spend enough money with Nvidia, can have powerful supercomputer fairly quickly), it's very dishonest statement. It's comparing deployed system with a lab prototype of a single competent of potential supercomputer, that may be fully operational in few years (software is a really, really, really big deal here).
2 comments
solidasparagus 1748 days ago
I assumed they're talking about Tesla's A100 cluster, which is huge - https://blogs.nvidia.com/blog/2021/06/22/tesla-av-training-s...

Tesla's compute-to-researcher ratio is definitely rare

link
jeffbee 1749 days ago
It is really unreasonable to compare Tesla's photoshop mocks with hardware already deployed in the field today. Google already has a TPUv4 cluster that can train ResNet-50 in 13 seconds, which is ridiculous. Until Tesla publishes actual MLPerf benchmarks, you can assume that their ASIC game is at least as far behind Google's as their self-driving game is behind Waymo's: 5 years at a minimum.

https://github.com/mlcommons/training_results_v1.0/tree/mast...

link