10/22/2026
Agentic AI transforms inference from a compute problem into a distributed, memory-intensive systems challenge. KV cache state must be placed at the right performance tier with predictable latency and bandwidth, and no single technology solves that alone.
At the AI Networking Summit 2026, Marvell Director of Solutions Architecture Ashwin Gopalan will present a systems architecture that addresses this challenge end to end, spanning on-package HBM, host-attached memory, a shared CXL-based KV cache tier, and durable storage, unified by a Teralynx Ethernet fabric delivering the high-throughput east-west connectivity required for agent coordination, cache movement, and multi-rack inference.
Attendees will leave with a practical framework for designing AI infrastructure as an integrated compute, network, and memory system.
Learn more: https://mrvl.co/4B5rlqf