Comment by infecto
12 hours ago
That again underestimates the challenges in that undertaking. After all these costs are still drops on the bucket. Why distract yourself from your business to go and build chips.
They all use SFDC, should they go and create and open source sales platform?
https://developers.facebook.com/blog/post/2021/09/07/eli5-op...
That's exactly what they id with their server design.
I'm saying come up with an open standard for tensor processing chips, with open drivers and core compute libraries, then let hardware vendors innovate and compete to drive down the price.
Meta spent like 10% of their revenue on ML hardware, it's not a drop in a bucket and with model scaling and large scale deployment these costs are not going down. https://www.datacenterdynamics.com/en/news/meta-to-operate-6...