Powering AI-Driven 6G Networks

Speaker Bio

Anupa Kelkar is the Product Manager for NVIDIA’s 5G Aerial Converged Radio Access and Edge Compute Platform. With over 20 years of experience in telecommunications and networking, she has held leadership roles in software engineering and product management across wireline, wireless, and satellite networks. She has worked at Apple (AR/VR low-latency solutions), Qualcomm (Connected Cars - CV2X), and was instrumental in launching in-flight broadband connectivity for airlines like JetBlue, United, Continental, and Qantas. Anupa holds a degree in Electrical Engineering and Computer Science from the University of California, Berkeley.

Abstract:

The evolution towards AI-powered 6G networks requires high-performance computing capabilities to handle complex real-time processing, intelligent automation, and next-gen connectivity demands. GPU-accelerated computing is set to play a crucial role in enabling ultra-low latency, dynamic resource allocation, and edge intelligence in 6G networks. This session will explore how AI and GPUs are transforming the network landscape and unlocking new possibilities for next-generation connectivity.