At FMS 2026, Silicon Motion introduced the MonTitan SSD Reference Design Kit (RDK), a platform built around the company’s next-generation PerformaShape technology. The design targets Agentic AI infrastructure, where enterprise SSDs can provide a persistent memory layer for KV cache offload and autonomous AI agents.
Agentic AI workloads place different demands on storage than conventional AI applications. Agents continuously reason, execute actions, retain context, and interact with external tools. These operations generate varied data types and produce rapidly changing access patterns. As AI data centers support longer multi-step inference processes and larger KV caches, storage must maintain high throughput, consistent latency, predictable quality of service, and sufficient endurance for sustained write-intensive activity.
“AI agents require storage to evolve into a persistent memory layer that retains context and supports continuous autonomous operations,” said Jason Chien, Senior Director of Enterprise Product Marketing at Silicon Motion.
The latest PerformaShape architecture adds hardware support for Multi-Dimensional Shaping, enabling more precise workload management. Integrated performance monitoring and support for the NVMe TP4176 API are intended to help enterprise SSDs maintain predictable QoS across complex, dynamic environments, including multi-tenant and multi-agent deployments.
Silicon Motion said the MonTitan RDK is designed to help storage developers build SSDs that preserve context for AI agents while managing data movement across multiple agents. The architecture is intended to reduce resource contention and provide more consistent performance as workloads change.
PerformaShape is integrated into Silicon Motion’s SM8366 PCIe 5.0 and SM8466 PCIe 6.0 enterprise SSD controllers. The MonTitan SSD RDK uses these controller platforms to provide SSD manufacturers with a scalable foundation for storage products targeting AI servers and data centers. Silicon Motion said the reference design can also help reduce development time for Agentic AI storage solutions.