AI demand boosts DRAM/NAND logic. Contract market sees high visibility via agreements, though downstream demand weakens. FMS showcases standard transitions where high-density flash addresses memory-wall challenges as near-compute cache for AI. HBF adoption hinges on major chipmakers' ecosystem integration.

Key Highlights

• Contract & Spot Market Outlook: AI demand continues to power vendor profitability and strong long-term agreement visibility. However, sluggish consumer demand casts uncertainty over upcoming contract price negotiations, while spot market trading remains muted.
• Storage Hierarchy Innovation: As AI advances toward agentic workflows and long-context processing, key-value cache data volumes are exploding. Vendors are introducing low-latency media and open standards (such as HBF) to offload memory overflows, bridging the gap between expensive DRAM and traditional storage to break the "memory wall."
• High Bandwidth & Ultra-Capacity: Next-generation interfaces and advanced controllers significantly boost IOPS performance and lower retry latency. Combined with ultra-high-density stacked architectures and bus protocols, these advances optimize vector databases and data lakes.
• Supply Chain & Adoption Outlook: Chinese vendors demonstrate resilient architecture evolution, offering diverse options for cloud providers. The ultimate market adoption of novel architectures hinges on validation by top-tier AI chipmakers, packaging costs, and full ecosystem integration.

Table of Contents

1. Market Update
2. TrendForce’s View
   • Memory and Storage Layer Architectures in the AI Era

<Total Pages: 3>