ResponsibleJudge3172

No, you are limited by:

Compute Performance, you will need 10,000%+ more compute than was available per chip, and those PCIe accelerators don't have the ability to compute the way they do now. You are going to have to rely on CPUs which is worse

Lack of scalabality of interconnecting chips to behave as one, increasing IO requirements dramatically.

Lack of memory pooling (yes you qualified it), memory bandwidth and memory sizes (we are talking in megabytes), imagine waiting for 1 billion parameter model calculations to load and store in each layer of a neural network using floppy disks.

The regulations specify the performance ceiling. Nvidia just ships products slower than that

US is not going to side against Nvidia for AMD, when AMD performance gets to par, they will get the cut as well

I remember Nvidia spent like $11 Billion in 2021 in preparation of current gen chips so $14 billion on chips including thos on N3B checks out

Igor will post about this every month I guess

How many articles is this guy going to make about this with the same conclusions?

He is responsible for Intel Gaudi, the best option for AI other than Nvidia H100 and A100

This headset is what people raved that Apple vision would be (just because it’s Apple)

New GPU architecture, now also integrating Intel's 'tensor cores' for better XeSS among other things

Despite knowing RDNA3, people still hyped this as on 4090M territory

We just look at benchmarks, of which GPUs do extremely well

Last gen, Lovelace was rumored as late and RDNA3 was rumored early.

Let’s just say I am skeptical