AI and Accelerated Computing Drive Energy Efficiency Gains During Climate Week 2024


Rebeca
Moen


Sep
19,
2024
14:59

NVIDIA’s
AI
and
accelerated
computing
platforms
are
leading
to
significant
energy
efficiency
improvements
across
various
industries,
highlighted
during
Climate
Week
2024.

AI and Accelerated Computing Drive Energy Efficiency Gains During Climate Week 2024

NVIDIA’s
AI
and
accelerated
computing
platforms
are
leading
to
significant
energy
efficiency
improvements
across
various
industries,
as
highlighted
during
Climate
Week
2024,
according
to
the

NVIDIA
Blog
.

All
the
electricity
powering
NVIDIA’s
global
operations
will
come
from
renewable
sources
by
the
end
of
January.
This
shift
aligns
with
the
company’s
mission
to
help
customers
and
partners
harness
AI
and
accelerated
computing
for
sustainable
growth.

Foxconn
Saves
Energy
With
Digital
Twins

Foxconn,
the
world’s
largest
electronics
manufacturer,
is
leveraging
NVIDIA’s
accelerated
computing
and
AI
to
build
a
digital
twin
of
a
new
factory
in
Mexico.
This
initiative
is
expected
to
save
30%
in
annual
energy
costs.
“Our
digital
twin
will
guide
us
to
new
levels
of
automation
and
industrial
efficiency,
saving
time,
cost,
and
energy,”
said
Young
Liu,
chairman
of
Foxconn.

The
project
employs
software
from
the
Siemens
Xcelerator
portfolio,
including
Teamcenter
and
NVIDIA
Omniverse.
Siemens
and
NVIDIA
executives
will
discuss
their
sustainability
efforts
at
a
Climate
Week
event
moderated
by

TIME

magazine.

Cloud
Services
Increase
Efficiency

Cloud
computing
services
are
also
seeing
advances
in
energy
efficiency.
An
e-commerce
website
using
NVIDIA
AI
achieved
significantly
lower
latency
and
nearly
12x
energy-efficiency
improvement
after
migrating
from
CPUs
to
GPUs.
Similarly,
a
popular
video
conferencing
application
saw
a
25x
energy-efficiency
improvement
by
switching
from
CPUs
to
GPUs.

Service
providers
like
Equinix
are
turning
to
renewable
energy
sources,
aiming
to
become
climate
neutral
by
2030.
Equinix
currently
uses
96%
renewable
energy,
facilitating
sustainable
private
AI
with
NVIDIA
DGX
systems.

Decoding
Cancer
While
Saving
Energy

The
Wellcome
Sanger
Institute,
a
leading
genome
sequencing
facility,
uses
NVIDIA
Parabricks
software
on
NVIDIA
DGX
systems
to
sequence
and
analyze
tens
of
thousands
of
cancer
samples.
This
setup
reduces
run
times
by
1.6x
and
energy
consumption
by
up
to
42x,
potentially
saving
$1
million
and
1,000
megawatt-hours
annually.

Expanding
the
Sustainability
Ecosystem

NVIDIA
is
nurturing
a
broad
ecosystem
focused
on
sustainability.
A
collaboration
with
the
United
Nations
has
trained
over
14,000
data
scientists
on
designing
AI
models
for
early
flood
detection.
The
NVIDIA
Inception
program
now
includes
more
than
a
thousand
startups
working
on
energy
efficiency
innovations.

Savings
Span
Global
Industries

“The
generative
AI
revolution
is
poised
to
impact
every
industry
and
enable
a
new
era
of
productivity
and
sustainability,”
said
NVIDIA
founder
and
CEO
Jensen
Huang
in
the
company’s
latest
sustainability
report.
Independent
analysts
recognize
AI’s
significant
impact
on
reducing
global
energy
consumption.

45,000x
Efficiency
Gain
in
AI
Inference

NVIDIA’s
platform
has
become
45,000x
more
energy
efficient
in
processing
large
language
models
over
the
past
eight
years.
Speedups
ranging
from
20x
to
160x
over
CPUs
are
available
across
various
workloads,
making
accelerated
computing
synonymous
with
sustainable
computing.

Expanding
Climate
Week’s
Agenda

NVIDIA
and
its
partners
are
participating
in
several
Climate
Week
events,
including
a
Climate
AI
Summit
with
Salesforce
and
a
Climate
Science
Fair
featuring
startups
using
NVIDIA
technologies.
These
events
aim
to
showcase
how
AI
and
accelerated
computing
can
address
climate
change.

“Accelerated
computing
is
how
to
meet
the
massive
demand
for
computing
power
sustainably
and
cost-effectively,”
Huang
said.

Image
source:
Shutterstock

Comments are closed.