“The new 14nm based self-developed chip is fabbed by Samsung and is capable of 144 tera operations per second (TOPS) (two chips each 72 TOPS) compared with Nvid

“The new 14nm based self-developed chip is fabbed by Samsung and is capable of 144 tera operations per second (TOPS) (two chips each 72 TOPS) compared with Nvidia’s Drive Xavier’s theoretical performance of 21 TOPS. It features two fully independent packages, each with their own with DRAM memory, flash storage chips, and power supplies. If one fails, the failsafe is the second one.” [1] So the correct way to look at this is that Tesla has a redundant 72 TOPS chip compared to nVidia Xavier 21 or 30 TOPS. It’s nonsensical to compare a stack of chips versus another. NVidia claiming the fair comparison is a 320 TOPS system with 2 Xavier’s and 2 TensorCores pulling 500 watts total. A single Xavier provides 30 TOPS of Int8 at 30 watts. The redundant Tesla setup by comparison pulls 100 watts total. [2] A fact check that just parrots Nvidia’s blog with no actual research or fair presentation of the numbers may be par for the course but not terribly useful. [1] - https://www.guru3d.com/news-story/tesla-develops-own-self-driving-ai-chip-removes-nvidia.html https://www.guru3d.com/news-story/tesla-develops-own-self-dr... [2] - https://electrek.co/2019/04/23/nvidia-disputes-tesla-fsd-computer/ https://electrek.co/2019/04/23/nvidia-disputes-tesla-fsd-com...