Uploaded July 2026 | Updated September 2026, 2 weeks ago
AI-RAN is rapidly moving from vision to deployment and is set to reshape mobile networks through intelligent, software-driven architectures powered by GPU-accelerated computing. In this panel, leaders from Elisa, Nokia and NVIDIA will explored the benefits of GPU-accelerated RAN and what it takes to bring AI-RAN from proof-of-concept to live networks.
Panelists:
• Kalle Lehtinen - CTO, Vice President Technology Development, Elisa
• Soma Velayutham - Vice President, AI & Telecoms, NVIDIA
• Aji Ed – Vice President, Head of AI-RAN and Cloud RAN, Nokia
Moderator:
Nora Farkas, Portfolio Marketing Manager, Nokia
Topics included:
• The strategic importance of AI-RAN for telecommunication providers like Elisa and its role as a stepping stone toward AI-native 6G
• Key drivers: efficiency gains and new revenue opportunities
• The impact of surging cellular traffic driven by generative, agentic and physical AI
• The shift toward merchant silicon GPUs and why GPU-accelerated AI-RAN is the right architecture of the AI era
• Insights from the ongoing Elisa AI-RAN proof-of-concept
• Evolutionary deployment strategies and how cell sites are evolving into "AI Grid" locations delivering both connectivity and accelerated computing for AI inference
AI-RAN is rapidly moving from vision to deployment and is set to reshape mobile networks through intelligent, software-driven architectures powered by GPU-accelerated computing. In this panel, leaders from Elisa, Nokia and NVIDIA will explored the benefits of GPU-accelerated RAN and what it takes to bring AI-RAN from proof-of-concept to live networks.
Panelists:
• Kalle Lehtinen - CTO, Vice President Technology Development, Elisa
• Soma Velayutham - Vice President, AI & Telecoms, NVIDIA
• Aji Ed – Vice President, Head of AI-RAN and Cloud RAN, Nokia
Moderator:
Nora Farkas, Portfolio Marketing Manager, Nokia
Topics included:
• The strategic importance of AI-RAN for telecommunication providers like Elisa and its role as a stepping stone toward AI-native 6G
• Key drivers: efficiency gains and new revenue opportunities
• The impact of surging cellular traffic driven by generative, agentic and physical AI
• The shift toward merchant silicon GPUs and why GPU-accelerated AI-RAN is the right architecture of the AI era
• Insights from the ongoing Elisa AI-RAN proof-of-concept
• Evolutionary deployment strategies and how cell sites are evolving into "AI Grid" locations delivering both connectivity and accelerated computing for AI inference
