Verizon Collaborates with NVIDIA to Power AI Workloads on 5G Private Networks with Mobile Edge Compute
18 December 2024 - 1:30AM
Verizon today announced a new solution developed with NVIDIA that
enables a wide range of AI applications to run over Verizon’s
reliable 5G private network with private Mobile Edge Compute (MEC),
demonstrating the transformative power of this innovation to
enterprises. Verizon’s 5G Private Network with Enterprise AI
solution brings together Verizon’s secure, reliable, low-latency 5G
private network and private MEC with NVIDIA AI Enterprise software
platform and NVIDIA NIM microservices to deliver powerful,
real-time AI services on premises for enterprise customers. Verizon
engineers will begin demonstrations of this solution in early 2025.
“Generative AI, with its predictive capabilities, is poised to
be a critical component of digital transformation and future
business growth in almost all industries,” said Srini Kalapala,
Senior Vice President of Technology and Product Development at
Verizon. “We're leveraging our network's unique strengths including
private networks and Verizon’s global industry leadership in
private MEC, combined with NVIDIA’s AI compute capabilities to
enable real-time AI applications that require security, ultra-low
latency, and high bandwidth. Our ongoing investment in our network
infrastructure means we're uniquely positioned to deliver these
powerful AI services at scale, driving the digital transformation
and fueling the future growth of businesses worldwide.”
“Enterprises everywhere are racing to integrate AI solutions
that bring new value to their employees, partners and customers,
and can also help them operate with extreme efficiency,” said
Ronnie Vasishta, senior vice president of telecom at NVIDIA.
“Verizon’s integration of NVIDIA’s full stack AI platform into its
new solution for running AI workloads on private 5G networks is a
big step forward in helping enterprises of all sizes reach their
business objectives faster with AI.”
The new AI powered private 5G platform stack is a Verizon and
NVIDIA developed infrastructure designed to be plug & play,
helping third-party developers to innovate with speed, while also
accommodating future evolutions in AI computing and a variety of AI
and connectivity applications. It can support multi-tenancy for
multiple use cases or customers, is modular to be able to scale as
needed for a bespoke solution for various applications, and can
provide these services remotely via portable private network
solutions or on a customer’s premise with a permanent private
network on site. The stack is being built to handle compute
intensive apps including Generative AI Large Language Models and
Vision Language Models, Video streaming, broadcast management,
Computer Vision (CV), Augmented/Virtual/Extended Reality
(AR/VR/XR), Autonomous Mobile Robot/ Automated Guided Vehicle
(AMR/AGV), and IoT.
Key benefits of the Verizon 5G Private Network with Enterprise
AI solution include:
- Ultra-Low Latency: Verizon's Private 5G
Network provides the ultra-low latency required for real-time AI
processing at the edge, critical for applications like robotics,
and augmented reality.
- High Bandwidth and Reliability: The dedicated
bandwidth and enhanced reliability of a private 5G network ensure
optimal performance for data-intensive AI workloads.
- Enhanced Security and Control: Private 5G
networks offer improved security and control over data and
applications, essential for businesses with sensitive AI
workloads.
- Scalability and Flexibility: The solution can
be tailored to meet the specific needs of different industries and
use cases, providing scalability and flexibility for future
growth.
- AI Processing at the Edge: Verizon private
network customers can run their AI application workloads and
services at the premise edge with Mobile Edge Compute to prevent
compute intensive applications from traversing the internet,
leading to quick decision making with local processing and
inferencing.
A PwC Global Artificial Intelligence Study reported that 75% of
business executives considered AI a business advantage and were
either already using it or planning to do so. A McKinsey Global
Survey on AI indicated that 50% of companies had adopted AI in at
least one business function, with 71% planning to expand AI use in
the near future. These insights underscore the importance of mobile
networks being able to support AI workloads in the future. It is
estimated that 5G will power $12 trillion in global economic output
by 2035,with AI-enabled devices playing a key role in transforming
industries like healthcare, manufacturing, and logistics. The need
for networks to manage AI workloads has never been greater.
“In today's rapidly evolving digital landscape, staying ahead of
the curve is essential for businesses to thrive. That's where
Verizon comes in. We don't just offer connectivity; we deliver
cutting-edge solutions that empower our customers to anticipate and
adapt to change. It's why major industries across the board choose
Verizon,” said Kalapala.
Verizon was the first to launch Mobile Edge Compute and
continues its global leadership in edge computing capabilities.
Verizon’s collaboration with NVIDIA to power AI workloads on
private 5G networks represents a significant advancement in
enterprise AI capabilities. This solution, which the innovation
partners expect will be available for demonstrations in February,
will enable businesses to deploy powerful AI applications at the
edge, driving innovation and efficiency across various sectors.
About Verizon
Verizon Communications Inc. (NYSE, Nasdaq: VZ) powers and
empowers how its millions of customers live, work and play,
delivering on their demand for mobility, reliable network
connectivity and security. Headquartered in New York City, serving
countries worldwide and nearly all of the Fortune 500, Verizon
generated revenues of $134.0 billion in 2023. Verizon’s world-class
team never stops innovating to meet customers where they are today
and equip them for the needs of tomorrow. For more, visit
verizon.com or find a retail location at verizon.com/stores.
MEDIA CONTACT:Karen
Schulz864.561.1527Karen.schulz@verizonwireless.com
Verizon Communications (NYSE:VZ)
Historical Stock Chart
From Nov 2024 to Dec 2024
Verizon Communications (NYSE:VZ)
Historical Stock Chart
From Dec 2023 to Dec 2024