Explore featured sessions for telecommunications and 5G.

With telecom sessions on advances in 5G network acceleration and security, opportunities to hear first-hand how innovators are harnessing the potential of AI-on-5G applications, and the latest 6G research, there’s a lot to learn at GTC.


Jensen Huang | NVIDIA | Founder and CEO

Watch the keynote replay to hear Jensen Huang's insight into how NVIDIA is driving the rapid pace of technology advancements to help solve the world's toughest challenges.

Featured Speakers

Karthik Krishna

Enabling the Convergent Telco Edge to Deliver Multiple Edge AI Apps

Karthik Krishna
Senior Solutions Manager, VMware

Yonsung Kim
Anupa Kelkar
Jay Cary

Sessions By Topic


  • Delivering Connected Intelligence to Enterprises with a Commercial AI-on-5G Solution

    • Soma Velayutham, General Manager, AI and 5G, NVIDIA
    • Kuntal Chouwdhury, SVP and GM, AI and Analytics, Mavenir

    The combination of AI and 5G’s enterprise-grade connectivity will help accelerate digital transformation for many industries. But how is this delivered in an enterprise environment? Join this session to learn about the activities and ecosystem for development and deployment of an AI-on-5G solution for enterprise customers.

  • Converged 5G and Edge Compute to Deliver Advanced Low-Latency Services for Industry 4.0

    • Anupa Kelkar, Product Manager, NVIDIA
    • Joseph Boccuzzi, Principal 5G Architect, NVIDIA
    • Shamik Mishra, CTO, Capgemini
    • Nilanjan Samajdar, DIrector, Capgemini

    Campus 5G networks can be continuously and quickly adapted to changing industry connectivity needs, which is of keen interest for industrial segments looking to enable new use-cases and optimize industrial efficiency. In this session an AI workload will be demonstrated and we introduce advanced 5G capabilities that will impact Industry 4.0.

  • 5G Cloud Robotics and AI as a Service - Practical Insights

    • Jens Lambrecht, Managing Director, Gestalt Robotics GmbH

    We'll introduce the cloud robotics paradigm and latest advances in (factory) edge computing, 5G, and openRAN technologies. We'll cover distribution of AI computing between onboard/embedded devices and virtualized infrastructures, share use cases, and explain the outlook for AI-enabled digital twins of factory and logistics environments.

  • How SoftBank Achieved High-Quality Video Conferencing on a 5G Network

    • Mana Murakami, Senior Solution Architect, NVIDIA
    • Katsuhiro Horiba, Director of Network Research, Advanced Technology Development, SoftBank

    Join this talk to hear from SoftBank and NVIDIA 5G network experts how SoftBank has deployed multi-access edge computing (MEC) and NVIDIA Maxine to improve their users’ communication experience and optimize 5G capacity and coverage performance.

  • Enabling Creators with 5G: Streaming High-Fidelity Location-Based XR Experiences to Multiple Users

    • Jay Cary, Vice President, 5G Ecosystem, AT&T Mobility
    • Anthony Batt, Co-Founder and EVP of Product and Development, WeVR
    • Peter Linder, Head of 5G Marketing, Ericsson

    Team members from AT&T, Ericsson, and WeVR will discuss how they rallied an array of partners innovators to create the first end-to-end 5G multi-user location-based VR Experience (LBVR) experience. With 5G, a private data network can scale to any number of users over multiple antennas and can also be used to deliver immersive experiences to manufacturing floors, design rooms and, even construction sites.

Edge AI

  • Enable the Convergent Telco Edge to Deliver Multiple Edge AI Apps

    • Karthik Krishna, Solutions Product Manager, VMware
    • Joao Kluck Gomes, Global Business Development, NVIDIA

    5G and edge computing are enabling new services for multiple industries. NVIDIA and VMware are working together to enable telcos to offer these new edge applications using NVIDIA application frameworks, the VMware Telco Cloud Platform, and a large ISV ecosystem. We'll showcase edge use cases and demo an ISV application on the NVIDIA and VMware platform.

  • Enabling City-Scale AI Video Analytics for Smarter Cities

    • Yongsung Kim, Manager, SK Telecom

    The use of Vision AI applications for tackling city-scale problems and building smarter infrastructure has grown immensely, especially in the post-COVID era. In several markets, telcos are part of the ecosystem. We tackle the cost and scale-out issues of existing vision AI systems by using the chained inference of lightweight vision AI models over a novel hybrid architecture.

  • Rise of the Intelligent Edge: From Enterprise to Device Edge

    • Justin Boitano, VP and GM of Enterprise and Edge Computing, NVIDIA

    Edge computing is transforming the way organizations use the data they collect from stores, factories, and hospitals, and turning it into actionable, intelligent insights. NVIDIA is working with a broad ecosystem to accelerate the edge computing space. Learn about the hardware, AI applications, and management services that make deploying AI at the edge simple and secure. 

  • Scaling XR Applications with CloudXR, Edge Computing, and 5G

    • Krasi Nikolov, CEO and Co-founder, QuarkXR

    As an XR developer in an exciting industry like location-based XR (LBXR), manufacturing, or engineering, you’re dealing with a lot of moving parts and a lot of requirements. We'll share our experience of scaling XR applications for LBXR, manufacturing, and robotic teleoperation using CloudXR, edge computing, and 5G, and how CloudXR enabled us to simplify deployment.

  • The Rise of Smart Infrastructure: Automating Smart Spaces with NVIDIA Metropolis and Edge AI

    • Adam Scraba, Director of Product Marketing, NVIDIA

    From retail shops to warehouses to our city streets, every space is becoming smarter thanks to AI-enabled vision applications. Learn how the world’s smartest spaces are using the NVIDIA Metropolis AI application framework. We’ll cover application areas, and NVIDIA tools for training, inference, optimization, and dev-ops management, as well as the rich ecosystem of partners.

Telecoms Tech

  • Practical AI in the Evolution of Next-Generation RAN

    • Hiroyuki Kawai, COO, DOCOMO Beijing Labs
    • Mark Noda, Developer Relations, NVIDIA

    AI is becoming an essential building block in wireless communication. In 5G RAN and beyond, challenges need to be addressed, such as real-time optimizations based on numerous parameters for a massive amount of user equipment devices requiring differentiated service-level agreements. We'll cover research on AI applications for lower-layer RAN stack to achieve enhanced quality and effective throughput for various applications. 

  • Unlock VNFs Full Potential with NVIDIA Accelerated Network Computing

    • Erez Cohen, VP CloudX Program, NVIDIA

    The VNF transformation has impacted how telco core, edge, and far edge data centers are built. Telco clouds allow flexibility and scalability, but it’s challenging to meet 5G VNF performance and efficiency requirements. We'll introduce “Accelerated Network Computing,” a framework designed to accelerate high-performance VNFs/CNFs using NVIDIA DPUs and SmartNICs in a real cloud-native environment. 

  • The Role and Future of Machine Learning in Massive MIMO Wireless Systems

    • Professor Christoph Studer, ETH

    Future wireless systems will combine large antenna arrays with millimeter-wave communication to increase network throughput and improve quality-of-service. These massive MIMO wireless systems must acquire and process massive amounts of data at very high rates, which requires innovation at the physical layer. We'll showcase two examples to demonstrate that this data deluge is not just a curse, but also a blessing. 

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