DapuStor Highlights Enterprise SSD Innovation for AI Infrastructure at WAIC 2026
July 17-20 - DapuStor showcased its enterprise SSD portfolio for AI infrastructure at the 2026 World Artificial Intelligence Conference (WAIC) in Shanghai. Across AI training, inference, and emerging agentic AI workloads, the company highlighted storage technologies designed to help move and manage data more efficiently at scale.
01. Enterprise SSDs for the AI Data Lifecycle
As AI workloads become larger and more dynamic, storage performance has a direct impact on data access, GPU utilization, and inference responsiveness. At WAIC, DapuStor presented an enterprise SSD portfolio designed for different stages of the AI data lifecycle, from high-capacity data storage to latency-sensitive inference workloads.
● High-Density QLC SSDs: Available in U.2 to the EDSFF form factors, with capacities up to 245TB for large-scale AI datasets.
● High-Performance Gen5 TLC SSDs: Available in U.2 and E3.S form factors, with capacities up to 30.72TB. Options include the R6 E3.S with dual-port support, the R6C with transparent compression delivering up to 3.5× effective capacity, and FDP for more efficient data management.
● Low-Latency SCM SSDs: With endurance of up to 120 DWPD,DapuStor X5 SSD is designed for latency-sensitive workloads where faster data access can help improve TTFT (Time to First Token) .
● Intelligent Interconnect Series: The DapuStor DN200 and DN200C SmartNICs provide high-bandwidth connectivity, while the F6501 hardware-accelerated NVMe RAID solution helps scale and accelerate all-flash storage deployments.
02. AI Infrastructure Demonstrations at WAIC
DapuStor enterprise SSDs were featured in several AI infrastructure demonstrations throughout the event.
DapuStor x WEKA
Together with WEKA, DapuStor showcased an AI data platform combining DapuStor enterprise SSDs with WEKA data platform software. The demonstration focused on high-throughput data access for AI training and inference workloads.
DapuStor x GIGABYTE
DapuStor SSDs were also featured in a GIGABYTE AI server platform, illustrating how high-capacity, high-performance enterprise storage can support GPU-accelerated AI computing.
Other highlights included a long-context inference solution based on the G3.5-layer CMX Core Engine, a high-performance all-flash storage system, and a native KV Cache & RAG data appliance.
03. Building Storage for What Comes Next
AI infrastructure continues to place new demands on capacity, performance, latency, and efficiency. DapuStor will continue to develop enterprise storage technologies that help customers build reliable, scalable infrastructure for evolving AI workloads.