Robert Rosenberg | Chief Commercial Officer
Asine

Future of Memory and Storage - Day 1 @ 10:35

Autonomous AI Systems Die When They Can’t Remember: Persistent CXL Fabrics for Communications-Denied Environments

Defense drones lose satellite lock. Robots reboot mid-process. In contested rugged deployments, agentic AI power-cycles and wakes stateless—context erased, reasoning chains broken, mission aborted.

The industry misdiagnoses this as a software issue. It is a memory architecture failure: DRAM provides low-latency retrieval but volatilizes on power loss; NVMe preserves state but imposes latency that cripples real-time RAG.

This session validates a CXL 3.1-native persistent memory fabric for hostile edge AI. By pooling DRAM with byte-addressable pSLC storage, we ensure zero-loss agent state. Telemetry from 2025 defense airborne exercises shows AI agents sustaining reasoning chains through 40+ power events with zero context loss.

Context retrieval latency drops from 340ms to 80ms. FPGA-based computational storage relocates KNN search adjacent to embeddings, achieving 200GB/s throughput and collapsing PCIe saturation from 89% to 31%. The fabric maintains performance in sealed, conduction-cooled systems from -40°C to +85°C.

Attendees receive a validated reference architecture—with CXL topology and thermal models—to deploy resilient agentic AI where conventional systems fail.

Robert Rosenberg, Chief Commercial Officer, Asine

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Robert Rosenberg / Autonomous AI Systems Die When They Can’t Remember: Persistent CXL Fabrics for Communications-Denied Environments

Robert Rosenberg, Chief Commercial Officer,
Asine

Robert Rosenberg is the Chief Commercial Officer at Asine Ltd., where he leads global business strategy and customer success for ruggedized SSD and Storage Class Memory (SCM) solutions. A specialist in professional reinvention, Robert transitioned from a high-level career in financial...

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