[LeifCarrotson]

The whole point of refreshing the hardware fleet from Mk 1 to Mk 2 is that it has a practical basis that they will benefit from.

> Big Basin can train models that are 30 percent larger because of the availability of greater arithmetic throughput and a memory size increase from 12 GB to 16 GB. In tests with popular image classification models like ResNet-50, we were able to reach almost 100 percent improvement in throughput compared with Big Sur

Mk 2 is better than the Mk 1 in several important ways. They're not creating Mk 2 for no reason!

[georgyo]

One of those reasons could be cost or speed of production. Mk1 could be better the mk2, but mk2 is easier to make.