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Ronnie Vasishta on network latency

From Delivering AI-Native 6G with AI-RAN: Nvidia SVP Ronnie Vasishta at Cambridge 6G Symposium · · TITAN Telecoms Hub

“It's often a fallacy that you have to leverage network latency as the most important part of latency. As we go to intelligent networks, compute latency becomes a much bigger factor.”

Ronnie Vasishta
SVP Telecom, Nvidia
Controversial network latencycompute latencyintelligent networks

On , Ronnie Vasishta, SVP Telecom at Nvidia, spoke about network latency during Delivering AI-Native 6G with AI-RAN: Nvidia SVP Ronnie Vasishta at Cambridge 6G Symposium on TITAN Telecoms Hub.

Delivering AI-Native 6G with AI-RAN: Nvidia SVP Ronnie Vasishta at Cambridge 6G Symposium
Watch on YouTube at 4:17
Delivering AI-Native 6G with AI-RAN: Nvidia SVP Ronnie Vasishta at Cambridge 6G Symposium
TITAN Telecoms Hub
Watch on YouTube at 4:17
This talk was presented on 28 March 2025 (Day 2) at the international Cambridge 6G Symposium organised in association with the Royal Academy of Engineering, Royal Swedish Academy of Engineering Sciences, the US National Academy of Engineering, the Indian National Academy of Engineering and the Canadian Academy of Engineering on 27 – 28 March 2025 at Cripps Court, Magdalene College, University of Cambridge. The event brought together leading global experts from academia, industry, and government to explore the future of 6G technologies and their transformative potential. The two-day event provided a platform to discuss cutting-edge research, emerging applications, and the societal impacts of 6G, while fostering collaboration to drive innovation and shape the next generation of connectivity. This event spotlighted the latest advancements in 6G, offering insights into emerging technologies and market trends shaping the future of connectivity. Ronnie Vasishta leads all aspects of NVIDIA's telecom vertical including business management product definition, development and go-to-market strategy. As senior vice president - telecom at NVIDIA, his organization is responsible for defining and architecting next-generation virtualized, open 5G advanced and 6G networks, which act as a software-defined overlay on telecommunication networks powered by accelerated computing. His team is working with telecom operators around the world on their transformation journeys using NVIDIA’s full-stack accelerated computing and AI platform and extensive developer ecosystems. Ronnie joined NVIDIA in 2020 from Intel, where he most recently served as the vice president and general manager of the Network and Configurable Logic Division, Data Products Group. At Intel, Ronnie’s team managed the company’s programmable business with telecom manufacturers and communication service providers. Ronnie formerly served as CEO of privately held eASIC, which focused on the telecom and storage markets and was sold to Intel in 2018. Previously, he was vice president of technical marketing at LSI Logic, a pioneer in the custom ASIC business. At LSI Logic he also held a series of engineering roles extending across wafer processing, chip design, IP and packaging.
Ronnie Vasishta

About Ronnie Vasishta

SVP Telecom · Nvidia

Ronnie Vasishta, Nvidia's Senior Vice President of Telecom, spoke at the Cambridge 6G Symposium on March 28, 2025, about the convergence of telecommunications and artificial intelligence. He stated that "there's never been a better time than now to be in the telecommunications industry," describing the current moment as an opportunity for "multi-generational work" by combining AI with telecom networks. Vasishta noted that this integration would not have been possible during the formation of 5G a decade ago. Vasishta discussed Nvidia's work on AI-native 6G networks, including accelerating layer one of the 5G stack on GPUs and expanding into layer two functions. He highlighted demonstrations by the AI-RAN Alliance, which grew from 10 to over 75 member companies in a year, showing performance improvements through neural network-based processing. Vasishta also described using Nvidia's Aerial Omniverse digital twin for physics-accurate RF simulation, citing a SoftBank project that optimized throughput for a baseball stadium in Tokyo. He argued that "as we go to intelligent networks, compute latency becomes a much bigger factor" than network latency.

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