FP6:

  "Alan: Sure, yep, so one of the things that we felt like on MI350 in this  timeframe, that it's going into the market and the current state of AI... we felt like that FP6 is a format that has potential to not only be used for inferencing, but potentially for training. And so we wanted to make sure that the capabilities for FP6 were class-leading relative to... what others maybe would have been implementing, or have implemented. And so, as you know, it's a long lead time to design hardware, so we were thinking about this years ago and wanted to make sure that MI350 had leadership in FP6 performance. So we made a decision to implement the FP6 data path at the same throughput as the FP4 data path. Of course, we had to take on a little bit more hardware in order to do that. FP6 has a few more bits, obviously, that's why it's called FP6. But we were able to do that within the area of constraints that we had in the matrix engine, and do that in a very power- and area-efficient way.

Does this also ship only in x8 batches? I really liked MI300 and could afford one of them for my research, but they only come in batches of x8 in a server rack, so I decided to buy an RTX Pro 6000.

This 8-combo MI350 is a beauty with 2304 GB VRAM of HMB3E memory on each UBB [1].

[1] This is the AMD Instinct MI350:

https://www.servethehome.com/this-is-the-amd-instinct-mi350/

I've got the MI300x and I can't wait to deploy a bunch of the MI355's.

NVDAs advantage is software, not just hardware. Would be amazing to have a competitive market but better hardware won't be enough to make it happen.

A solid 40% of George's questions were deemed great. (Not counting some fluff like what's your job.)

If MI350 employs CDNA, which is based on the VEGA (GCN) architecture, does that imply that MI400, when introduced next year, will skip the 2020 GCN and directly transition to RDNA 5 equivalent?

Will AMD catch up to Nvidia?