Verizon collaborates with NVIDIA to power AI workloads on 5G private networks with Mobile Edge .....
Verizon
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.
Leave A Comment