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According to TrendForce’s latest findings on the AI servers, major CSPs are increasing investment in self-developed chips. In response, NVIDIA shifted the focus of GTC 2026 toward deploying AI inference applications across multiple industries, marking a departure from its previous emphasis on cloud-based AI training.
The widespread adoption of AI inference workloads in 4Q25 significantly raised requirements for data storage systems, according to TrendForce’s latest findings on the enterprise SSD market. Meanwhile, enterprises accelerated upgrades to their general-purpose servers, while shortages in HDD supply pushed some demand toward SSD solutions. These factors together drove combined revenue for the world’s top five enterprise SSD vendors up 51.7% QoQ to more than US$9.9 billion.
TrendForce’s latest research on the semiconductor foundry industry reveals that advanced-node demand remained strong in 4Q25, driven by the tight supply of AI server GPUs and Google TPUs. Furthermore, the launch of new smartphones boosted wafer orders for mobile application processors (APs), supporting solid shipment performance.
NVIDIA’s next-generation AI compute rack architecture indicates that future GPU designs will increasingly prioritize higher chip-to-chip interconnect density and faster data transmission, according to TrendForce’s latest research on the high-speed interconnect market. Intra-rack chip interconnects (scale-up) and large-scale interconnects across racks (scale-out) will become central considerations in data center design as AI clusters continue to scale.
The global NAND Flash industry continued to benefit from AI infrastructure build-outs in 4Q25, according to TrendForce’s latest research. All in all, the combined revenue of the top five NAND flash suppliers sharply rose 23.8% QoQ to US$21.17 billion.
