Semiconductor-Semiconductor-Dataram AI

Background of the Solution

With booming global demand for AI and HPC chips, combined with recovery in smartphone, PC, automotive and server markets, the semiconductor industry is entering a new phase of growth. Smart factories are generating massive volumes of production-line quality inspection data defect images, log files, multi-machine process traces which now represent core digital assets for manufacturers. Managing dispersed data, slow traceability, and constrained storage are emerging as key challenges.

Challenge

Quality management: quality-traceability cycles are lengthy, labor-intensive and inefficient. Engineers must search vast directories one by one; traditional NAS solutions struggle to retain data (e.g., automotive chips requiring 15-year retention).
Process management: process problem analysis spans machines, lines and factories manual export/download workflows are slow and error-prone, hampering localization of issues.
Machine management: inspection machines from multiple vendors, varied models and high quantity; machine servers have limited storage, frequent HDD exports, FTP transfers cause data loss; a single operator managing many machines makes fault detection difficult and impacts line stability.

Solution

To tackle massive inspection data challenges in semiconductor production, Dataram offers the Inspection Data Management System (IDMS) a unified, high efficiency platform that consolidates images, logs and other inspection data from multiple production lines. IDMS enables high performance storage, intelligent data processing and rapid retrieval, helping semiconductor manufacturers solve the storage, management and utilization issues of production line inspection data.

Value

Production line data management improves dramatically; traceability retrieval speeds increase by hundreds of times (for example, querying 1 billion+ files in seconds).
Automatic collection and unified management scale to tens of thousands of machines: automatic discovery, unified monitoring, unified deployment/upgrade, automatic data uploads, reducing O&M burden.
Automatic image compression and tiered storage significantly cut TCO: image compression can reduce size by up to 90% and storage costs by over 60%; centralized operation maintenance reduces site labor by more than 30%.