• Quad Dual-Width GPU Parallel Computing Stellar S400 flagship tower workstation supports up to 4 dual-width GPUs for powerful parallel computing. It delivers robust AI performance for team-level AI tasks, including model fine-tuning, knowledge base building and complex data analysis for enterprise AI projects.
• Massive 4TB ECC Memory Capacity This AI tower supports up to 4TB ECC memory. ECC memory automatically detects and corrects memory errors, ensuring stable and reliable long-running computing for financial risk analysis, medical imaging diagnosis and legal document processing.
• High Expandability with 4 PCIe 4.0 x16 Slots Equipped with four PCIe 4.0 x16 expansion slots, it offers flexible hardware scalability. You can install multiple GPUs or other accelerator cards to upgrade computing power according to evolving business demands for team AI infrastructure.
• Dual Option Intel Xeon Scalable Platform Adopts single-socket or dual-socket Intel Xeon Scalable processors (Purley / Whitley). Enterprise-grade CPU architecture guarantees stable multi-task processing, ideal for heavy workloads in finance, legal consultation and healthcare industries.
• Enterprise AI Infrastructure for Multiple Industries Built for team-level AI deployment, it perfectly fits financial risk control, legal consultation, medical diagnosis and corporate internal knowledge base construction. It supports local offline computing to protect sensitive business data and reduce information security risks.

Stellar S400 is a flagship tower AI workstation with quad-GPU parallel capability, designed for team-level enterprise AI infrastructure. It supports up to 4 dual-width GPUs and features single/dual socket Intel Xeon Scalable processors of Purley or Whitley platform.

It supports up to 4TB ECC memory and 4 PCIe 4.0 x16 expansion slots, delivering excellent expandability and stable error-correcting memory performance for long-duration heavy computing. This workstation is tailored for enterprise scenarios including financial risk control, legal consultation, medical diagnosis and building corporate internal knowledge bases.

Running local AI inference and data analysis offline, it safeguards sensitive enterprise data privacy. It is a reliable team computing backbone for model fine-tuning, document analysis, medical image processing and financial big-data computation.