Completely false. 2.4b transistors would mean it’s less than 1/3 as dense on the same node while being lower performant (so HP cells are not a factor). Why on earth would you even use 7nm when 20nm (and even 28nm) can reach that density easily.

Use you brain. Just because TPU listed wrong data, doesn’t mean you have to parrot it.

It has 40% the CU, 50% the CPU, 80% memory bus, nearly 100% front end (geometry, ACE etc), 100% display, video, I/O etc.

At bare minimum you are looking at 70% transistor count.

They need to beat 4070 at the beginning of the cycle. Or at least 4070 Ti level mid-cycle. And that’s just old x070 non-Ti level performance to begin with.

If it fits, it sits.

Download more hardware.

This is not true. Here’s Intel’s official slide on it

This is not true. Here’s Intel’s official slide on it.

Your slide is Xe, not Xe-LP

And losing TSMC will have little impact to China in the coming years because the US already cut them off.

China has nothing to lose so why let you enjoy your AI chips?

And you think losing TSMC isn’t a benefit to China because China also have equal access?

rebuild their companies manufacturing infrastructure elsewhere immediately after.

How is Arizona going? Well? Production in 3 months? 6 months?

Why would they bother to REMOVE GeForce branding? They are designed and manufactured with it.

Are you stupid? You sure think everyone else is.

These are AI solutions, how stupid can you be if you’d think they are genuine cards? IN CHINA, where it’s banned.

told Satya that they want be the TSMC of AI.

That’s just a pipedream. They are peacocking and it’s obviously failing since Microsoft shat directly in their face with Maia.

Nvidia’s ecosystem advantages will only diminish over the years since Microsoft, Google and Amazon etc will develop their own.

This is Glide vs Direct3D all over again. You know which one won.

No. Tensor cores have seperate specialised matrix ALUs, AMD’s WMMA are instructions on existing shader ALUs.

Tensor cores can process AI tasks in parallel to CUDA cores, RDNA3 can’t do both on the same CU.

It is also no big secret that the Chinese government exercises a fair amount of control over the companies that operate within its borders, and that the CCP takes particular issue over Taiwanese independence.

Put on your tinfoil hat and stay in your mom’s basement. What a stupid comment!

Is this why blackholes exist too? Can CCP throw you into one? You are obviously the publicly enemy number 10384937, CCP must hate you to guts.

the antitrust lawsuit that broke up Microsoft in the 90s

You have entered the wrong timeline. Go back to where you came from

Software stack is completely useless for datacenters. Nobody is using off-the-shelf solutions.

Google, Amazon, Microsoft are all building custom chips, you think they need AMD software stack if they bought MI300?

All they need is close-to-metal access via minimal driver.

Except it can. What’s stopping Android users from simply creating RCS groups that doesn’t care about iMessage?

If Apple users can’t convert iMessage to RCS, that’s on them.

Some other feature that gets less attention today

Nobody cares and you can’t even name one.

North America is The Good Place.

Also it’s a great way to filter out vile people anyway.

Try dipping it in ultrasonic cleaners. Not too long, 10-15 seconds at time.

Only the physical design. Also there’s no such requirement, not that strict anyways. Much smaller companies have worked with both, e.g. Tenstorrent. AMD can easily manage that.