NVIDIA AI Aerial Unveiled to Enhance Wireless Networks and Generative AI Solutions

Telecommunications
providers
are
advancing
beyond
traditional
voice
and
data
services
with
the
introduction
of
NVIDIA
AI
Aerial,
an
AI
computing
infrastructure
designed
to
optimize
wireless
networks
and
cater
to
the
next-generation
needs
of
generative
AI.
According
to
the

NVIDIA
Blog,
this
platform,
launched
on
September
18,
2024,
represents
a
significant
milestone
in
AI
and
telecommunications
convergence.

Driving
Networks
of
the
Future
With
AI-RAN

NVIDIA
AI
Aerial
is
the
world’s
first
AI-RAN
(Radio
Access
Network)
platform
that
can
host
generative
AI
and
RAN
traffic
while
integrating
AI
into
network
optimization.
AI-RAN
offers
high-performance,
energy-efficient,
software-defined
RAN,
enhancing
network
experiences
and
creating
new
revenue
opportunities
through
edge
AI
applications
for
both
internal
and
third-party
generative
AI
solutions.

This
technology
is
foundational
for
the
multipurpose
networks
of
tomorrow,
leveraging
AI-powered
telecommunications
capabilities
to
meet
emerging
demands.

Harnessing
NVIDIA
AI
Aerial
for
Telecom
Industry

The
NVIDIA
AI
Aerial
platform
provides
a
comprehensive
suite
of
capabilities,
including
high-performance,
software-defined
RAN,
training,
simulation,
and
inference.
This
allows
telecom
operators
to
engage
at
any
stage
of
development
to
deployment
for
next-generation
wireless
networks.

Key
components
of
the
NVIDIA
AI
Aerial
platform
include:

• 
  NVIDIA
  Aerial
  CUDA-Accelerated
  RAN:
  Software
  libraries
  enabling
  high-performance
  virtualized
  RAN
  workloads
  on
  NVIDIA-accelerated
  compute
  platforms.
• 
  NVIDIA
  Aerial
  AI
  Radio
  Frameworks:
  PyTorch-
  and
  TensorFlow-based
  software
  libraries
  for
  developing
  and
  training
  models
  to
  improve
  spectral
  efficiency
  and
  enhance
  5G
  and
  6G
  radio
  signal
  processing.
  This
  also
  includes
  
  NVIDIA
  Sionna,
  a
  simulator
  for
  neural
  network-based
  radio
  algorithms.
• 
  NVIDIA
  Aerial
  Omniverse
  Digital
  Twin
  (AODT):
  A
  system-level
  network
  digital
  twin
  development
  platform
  enabling
  realistic
  simulations
  of
  wireless
  systems,
  integrating
  software-defined
  RAN
  and
  user-equipment
  simulators.

NVIDIA
AI
Aerial
and
AI-RAN
Innovation
Center

NVIDIA
is
partnering
with
T-Mobile,
Ericsson,
and
Nokia
to
accelerate
AI-RAN
commercialization
through
the
AI-RAN
Innovation
Center.
This
collaboration
aims
to
merge
RAN
and
AI
innovations,
delivering
transformative
network
experiences
for
customers.

Tommi
Uitto,
president
of
Mobile
Networks
at
Nokia,
remarked,
“AI-RAN
is
set
to
revolutionize
the
telecom
industry,
and
the
AI-RAN
Innovation
Center
will
drive
industry
collaboration.
By
uniting
leading
companies
in
telecom
and
AI,
we
can
unlock
AI’s
full
potential
in
our
networks,
improving
performance,
reducing
costs,
and
creating
new
opportunities
for
our
customers.”

Fredrik
Jejdling,
EVP
and
head
of
Business
Area
Networks
at
Ericsson,
added,
“Ericsson
has
invested
in
our
AI-RAN
solution,
enabling
communications
service
providers
to
deploy
portable
RAN
software
across
multiple
platforms.
We
are
now
evaluating
NVIDIA
accelerated
computing’s
performance
and
cost
in
this
context.”

NVIDIA
AI
Aerial
Ecosystem

The
growing
ecosystem
of
NVIDIA
AI
Aerial
includes
key
partners
like
Softbank
and
Fujitsu.
Ansys
and
Keysight
are
utilizing
NVIDIA
Aerial
Omniverse
Digital
Twin
for
testing
and
simulation,
while
institutions
like
Deepsig,
ETH-Zurich,
Northeastern
University,
and
Samsung
collaborate
on
6G
research
and
NVIDIA
Aerial
AI
Radio
Frameworks.

Cloud
stack
software
providers
such
as
Aarna
Networks,
Canonical,
Red
Hat,
and
Wind
River,
along
with
networking
stack
providers
like
Arrcus
and
server
infrastructure
providers
like
Dell
Technologies,
Hewlett
Packard
Enterprise,
and
Supermicro,
are
significant
partners.
Edge
solution
providers
like
Vapor.io
and
system
integrators
like
World
Wide
Technology,
with
its
AI
Proving
Ground,
are
accelerating
AI
solution
decision-making.

Learn
more
about


NVIDIA
AI
Aerial

Image
source:
Shutterstock