The Infrastructure of Intelligence
From Cloud Core to Physical Edge: Where the Next Inflections Will Happen
By Ramakanth Alapati, Venture Partner, SilverX Fund — Q2 2026 Whitepaper
This whitepaper examines structural breaks in the global semiconductor and AI infrastructure landscape, with focus on where capital should concentrate as the compute stack evolves from centralized cloud to distributed physical edge.
Key Thesis Points
- AI training workloads are peaking at hyperscaler data centers; inference is moving to the edge
- Physical edge compute — in vehicles, factories, hospitals, and telecom towers — requires specialized chips distinct from datacenter GPUs
- India's semiconductor design talent and government PLI incentives position it as a global hub for edge AI chip development
- The next inflection is not faster GPUs — it is energy-efficient inference silicon for constrained physical environments
Published by SilverX Fund Research. View all research