GTC --
NVIDIA today
announced it is teaming with Fujitsu, Google Cloud, Mavenir,
Radisys and Wind River to develop solutions for NVIDIA’s AI-on-5G
platform, which will speed the creation of smart cities and
factories, advanced hospitals and intelligent stores.
Enterprises, mobile network operators and cloud service
providers that deploy the platform will be able to handle both 5G
and edge AI computing in a single, converged platform. The AI-on-5G
platform leverages the NVIDIA Aerial™ software development kit with
the NVIDIA BlueField®-2 A100 — a converged card that combines GPUs
and DPUs including NVIDIA’s “5T for 5G” solution. This creates
high-performance 5G RAN and AI applications in an optimal platform
to manage precision manufacturing robots, automated guided
vehicles, drones, wireless cameras, self-checkout aisles and
hundreds of other transformational projects.
“In this era of continuous, accelerated computing, network
operators are looking to take advantage of the security, low
latency and ability to connect hundreds of devices on one node to
deliver the widest range of services in ways that are
cost-effective, flexible and efficient,” said Ronnie Vasishta,
senior vice president of Telecom at NVIDIA. “With the support of
key players in the 5G industry, we’re delivering on the promise of
AI everywhere.”
NVIDIA and several collaborators in this new AI-on-5G ecosystem
are members of the O-RAN Alliance, which is developing standards
for more intelligent, open, virtualized and fully interoperable
mobile networks. Such collaboration allows operators to use the
same computing infrastructure required for 5G networking to provide
AI services in enterprise, industrial and consumer and residential
settings.
AI-on-5G will benefit multiple industry verticals. IHS Markit
expects this 5G-enabled value chain to generate $13.1 trillion in
increased productivity by 2035. The NVIDIA Aerial SDK, in
combination with NVIDIA Metropolis, NVIDIA Isaac™ and NVIDIA
Clara™, is an integral part of the AI-on-5G ecosystem and can be
deployed on a single NVIDIA-Certified System™ using NVIDIA GPUs and
DPUs on a single card.
Solutions for Public and Private
NetworksNVIDIA’s collaboration with others working to
enable AI-on-5G includes:
Mavenir, which is building two 5G vRAN systems based on the
Aerial SDK, and will target the network operator segment for public
5G and for enterprise AI with private 5G. Mavenir and NVIDIA have
created a hyperconverged enterprise 5G solution to enable
enterprises to implement AI-on-5G applications in a seamless and
easy-to-use solution.
“The partnership between Mavenir and NVIDIA allows both
organizations the opportunity to offer innovative AI solutions that
truly deliver on the potential of 5G. The joint hyperconverged
enterprise AI solutions from Mavenir and NVIDIA will enable
industries from healthcare to retail to Industry 4.0 to take
advantage of the endless possibilities 5G has to offer,” said
Kuntal Chowdhury, senior vice president and general manager of AI
and Analytics at Mavenir.
Fujitsu later this year plans to deliver a 5G Open RAN system
for verification starting with Sub6 band. Upon the system’s
completion, Fujitsu and NVIDIA will be helping NTT DOCOMO and
global operators with their evolution toward Open RAN in 5G, and
beyond. Aerial software-defined implementation reduces time to
market, speeds innovation and helps deliver AI applications to
enterprises.
“Fujitsu is committed to developing Open RAN solutions for
global operators based on NVIDIA’s Aerial AI-on-5G and its
accelerated GPU and DPU solutions,” said Masaki Taniguchi, senior
vice president and head of the Mobile System Business Unit at
Fujitsu. “Network operators, including NTT DOCOMO, are asking for
hyperconverged and software-defined 5G vRAN systems to deliver
innovative solutions to their customers.”
Enterprise DeploymentsSeeking to solve the
challenge of deploying AI in enterprises, Radisys and Wind River
plan to deliver NVIDIA Aerial AI-on-5G solutions for enterprise 5G
and industrial 5G networks. Over 6 million 5G cells will be
deployed by 2027 to smart factories, fulfillment centers and other
enterprise, industrial and public zones to provide localized
connectivity solutions, according to ABI Research.
“Radisys is pleased to partner with NVIDIA on our 5G vRAN and
edge computing portfolio, providing end-to-end system integration
and helping industries bring AI to life,” said Ganesh
Shenbagaraman, head of Integrated Products and Ecosystems at
Radisys.
Google Cloud is extending the Anthos application platform to the
network edge, allowing telecommunications service providers and
enterprises to enable the rapid delivery of new services and
applications at the 5G edge. Enterprises can turn to Google Cloud’s
managed services and NVIDIA for their Internet of Things economy,
and to harness data and AI to drive business performance, improve
operational efficiency and optimize safety and reliability.
“AI-on-5G is transformative. Google Cloud’s industry-specific AI
solutions meet scalable vertical needs,” said Shailesh Shukla, vice
president and general manager for Networking at Google Cloud. “With
the power of 5G, Google’s AI offering increases exponentially. We
are excited to expand our work with NVIDIA to deliver AI and 5G
computing at the edge with Anthos and NVIDIA’s accelerated edge
technologies.”
Anthos offers a consistent platform for application deployments,
with a service-centric view of each environment. The platform
enables customers to build and deploy enterprise-grade,
containerized applications faster with managed Kubernetes in the
cloud, on premises and at the network edge.
Anthos supports NVIDIA GPU-accelerated servers, enabling a
consistent deployment and operational experience across
deployments, while reducing expensive overhead and improving
developer productivity. The solution also protects applications and
software supply chains and provides an outcome-focused approach to
managing policies for applications across environments — a critical
feature for network operators and enterprises delivering
AI-on-5G.
NVIDIA AI-on-5G Data Centers — From Edge to the
CloudSoftware-defined RANs are critical for building a
modern 5G infrastructure that is capable of running a range of
applications on a common platform. NVIDIA Aerial enables the best
possible utilization by providing elasticity as network traffic
changes throughout the day and the flexibility to offer services
based on dynamic customer needs.
The NVIDIA EGX™ platform brings AI computing capabilities to the
edge where data gets created. The NVIDIA EGX stack, which is
compatible with all commercially available Kubernetes
infrastructures, is an ideal platform for Aerial enabling
low-power, always-on and high-performance devices, reshaping the
telecom industry. Expanding on the platform, server makers also can
pair NVIDIA GPUs and DPUs to build hyperconverged edge data
centers.
About NVIDIANVIDIA’s (NASDAQ: NVDA) invention
of the GPU in 1999 sparked the growth of the PC gaming market and
has redefined modern computer graphics, high performance computing
and artificial intelligence. The company’s pioneering work in
accelerated computing and AI is reshaping trillion-dollar
industries, such as transportation, healthcare and manufacturing,
and fueling the growth of many others. More information at
https://nvidianews.nvidia.com/.
For further information, contact:Cliff
EdwardsNVIDIA Corporation+1-415-699-2755cliffe@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the impact and benefits of the NVIDIA
AI-on-5G GPU-accelerated platform in collaboration with network
infrastructure providers, the NVIDIA Aerial SDK with BlueField-2
A100 and the NVIDIA EGX platform; NVIDIA delivering on the promise
of AI everywhere; AI-on-5G benefiting multiple industry verticals;
the amount of increased productivity the 5G-enabled value chain is
expected to generate by 2035; the joint hyperconverged enterprise
AI solutions from Mavenir enabling industries to take advantage of
the possibilities 5G has to offer; Fujitsu’s plans to deliver a 5G
Open RAN system for verification; the number of 5G cells that will
be deployed by 2027; the impact of Google Cloud extending the
Anthos application platform to the network edge; Google’s AI
offering increasing exponentially with 5G; and the impact and
benefits of Anthos’ platform for application deployments are
forward-looking statements that are subject to risks and
uncertainties that could cause results to be materially different
than expectations. Important factors that could cause actual
results to differ materially include: global economic conditions;
our reliance on third parties to manufacture, assemble, package and
test our products; the impact of technological development and
competition; development of new products and technologies or
enhancements to our existing product and technologies; market
acceptance of our products or our partners' products; design,
manufacturing or software defects; changes in consumer preferences
or demands; changes in industry standards and interfaces;
unexpected loss of performance of our products or technologies when
integrated into systems; as well as other factors detailed from
time to time in the most recent reports NVIDIA files with the
Securities and Exchange Commission, or SEC, including, but not
limited to, its annual report on Form 10-K and quarterly reports on
Form 10-Q. Copies of reports filed with the SEC are posted on the
company's website and are available from NVIDIA without charge.
These forward-looking statements are not guarantees of future
performance and speak only as of the date hereof, and, except as
required by law, NVIDIA disclaims any obligation to update these
forward-looking statements to reflect future events or
circumstances.
© 2021 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, BlueField, NVIDIA Aerial, NVIDIA Clara, NVIDIA EGX,
and NVIDIA Isaac are trademarks and/or registered trademarks of
NVIDIA Corporation in the U.S. and other countries. Other company
and product names may be trademarks of the respective companies
with which they are associated.
NVIDIA (NASDAQ:NVDA)
Historical Stock Chart
From Mar 2024 to Apr 2024
NVIDIA (NASDAQ:NVDA)
Historical Stock Chart
From Apr 2023 to Apr 2024