From Newsgroup: sci.physics

Hi,

Its an error to think iGPU and APU are
only an AMD thing. Even though Intel
and Apple avoid AMD's trademarked "APU"
acronym, the core engineering philosophy

is identical: putting specialized, non-CPU
computing accelerators onto the same piece
of silicon so they can share a single,
massive pool of ultra-fast system memory
without data transfer bottlenecks.

Interestingly, this architecture has become
incredibly popular for local AI workloads,
as the unified memory pool allows these modern,
APU-style chips to load enormous AI models

that would normally require highly expensive,
specialized enterprise graphics hardware.

The Evolution of PC Architecture to
Support Local AI Workloads https://daily.dev/posts/the-evolution-of-pc-architecture-to-support-local-ai-workloads-bys2nzlg9

Companies like AMD, Intel, and Qualcomm
are deeply invested in this race to redefine
computer capabilities, aiming to unlock
powerful on-device AI performance.

This change marks a departure from the
decades-old architecture designed around
separate processing units with individual
memory allocations, setting a new standard
in personal computing.

Bye

Mild Shock schrieb:

Hi,

For marketing purposes people
typically look at the race towards
2nm, and we find:

A month ago, Apple lost its exclusivity
on 3 nm smartphone processors with
MediaTekrCOs Dimensity 9400 chip, integrated
in the Vivo X200 Pro smartphone. Qualcomm
is also in the race with its recently
unveiled Snapdragon 8 Elite and set to
power the Xiaomi 15 Pro in 2025. However,
Apple should regain its position as innovation
leader in 2026 with the release of the
iPhone 18, which should feature the A20
chip built on TSMCrCOs 2 nm process."

But there is a vertical vias revolution
going on as well, some SOCs typically
being at 18 layers now:

Zooming Into a CPU (It's Incredible) https://www.youtube.com/watch?v=Bez-2cvYja0

imec has coined the term CMOS 2.0:

LEUVEN (Belgium), MARCH 12th, 2026 rCo Imec,
a world-leading research and innovation hub
in advanced semiconductor technologies, has
launched a first-of-its-kind consortium with
26 European university groups that will jointly
work on the technology roadmap beyond
CMOS scaling (CMOS 2.0). https://www.imec-int.com/en/press/imec-launches-university-consortium-around-next-generation-chips

So we might see more mobile grade GPUs.

Bye

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From Newsgroup: sci.physics

Hi,

This is urgent. The poor guy is stuck with
a VT200. Might somebody donate an old VT100
to the poor guy?

He wants to do some vintage AI experiment,
with the Rainbow Library from 1982. Basically
a simulation how a big black dick dildo

enters his fat greasy ass. So that he can
feel the 3 KB RAM of a VT100. The 16 KB RAM
of his VT200 are too big for him.

Bye

Bobauk Modenov schrieb:

Mild Shock wrote:

an integrated GPU (iGPU) used as an APU relies
entirely on shared system RAM. Because the processor
and graphics chip live on the same silicon die,
they do not have their own separate video memory

idiot, yet another thing you dont undrestand, only
max half of the entire ram can be given to the gpu.
Most of the laptops gives even less, say max
1 GB of the "shared" ram to the gpu. Idiot.

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