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3nm

3nm is a semiconductor process node designation used to describe a generation of manufacturing technology intended to produce smaller, more power-efficient integrated circuits. The term is part of industry naming conventions and does not map directly to a single, fixed physical dimension on a chip. In practice, 3nm tooling enables higher transistor density and improved performance or reduced power compared with 5nm processes, using advanced lithography and transistor architectures.

Industry context and developers: The leading semiconductor foundries—Taiwan Semiconductor Manufacturing Company (TSMC) and Samsung Electronics—have developed

Technology and design: The 3nm family employs advanced lithography, including EUV for critical layers, and uses

Impact and challenges: Adoption has expanded in premium mobile devices, AI accelerators, and high-performance computing. Realizing

Notes: The label "3nm" reflects a node designation rather than a precise physical measurement; actual device

3nm-class
processes.
TSMC
markets
a
3nm
process
known
as
N3,
with
an
enhanced
variant
N3E.
Samsung
has
announced
3nm
offerings
for
select
products.
3nm
processes
are
targeted
at
high-end
applications,
including
mobile
application
processors
and
graphics
devices,
where
performance-per-watt
and
transistor
density
offer
tangible
benefits.
3D
transistor
structures
to
improve
density
and
electrical
performance.
Depending
on
the
vendor
and
variant,
transistor
architectures
may
include
nanosheet
or
gate-all-around
designs,
replacing
or
augmenting
earlier
FinFET
approaches
in
some
programs.
The
overarching
goals
are
higher
performance
and/or
lower
power
while
maintaining
manufacturability
and
yield.
3nm
benefits
requires
substantial
investment
in
equipment,
supply
chains,
and
design
optimization.
Yield,
variability,
and
cost
challenges
accompany
the
transition
from
5nm
to
3nm
as
fabs
scale
production
capabilities.
geometries
vary
by
vendor
and
product.
The
3nm
transition
signifies
a
broader
industry
shift
toward
more
advanced
logic
and
memory
processes
as
manufacturers
pursue
greater
efficiency
and
performance.