• Massive Expandable Storage Capacity The Nebula X720 2U rack server supports up to 24 × 2.5-inch SAS/SATA 3.0 hard drives. The large storage bay design delivers huge storage capacity for massive datasets, which is ideal for big data storage, raw AI training data archiving and media file preservation.
• Powerful Scalability with Multiple PCIe Slots This rack server comes with 7 vertical half-height PCI/PCIe expansion slots. You can freely add GPUs, network cards, accelerators and other hardware modules to upgrade computing capability, meeting customized demands of AI acceleration and high-performance computing.
• Wide Compatibility for Multiple Workloads It is compatible with diverse heavy workloads including artificial intelligence, cloud computing, HPC, big data analytics, 3D graphics rendering and video decoding. Great for deep learning training and parallel computing tasks in data centers.
• Standard 2U Rackmount Form Factor Built as standard 2U rackmount chassis, it fits standard server racks in data centers and supercomputing centers. It saves cabinet space and facilitates centralized deployment, management and maintenance for AI training clusters.
• Reliable Infrastructure for Core Computing Scenarios Perfect for AI training cluster, data center and supercomputing center deployment. It supports offline local model training and data processing to protect data security, serving as stable backbone for enterprise cloud and high-performance computing projects.

The Nebula X720 is a high-performance 2U rackmount server designed for data center, AI training cluster and supercomputing center deployment. It supports up to 24 × 2.5" SAS/SATA 3.0 hard drives to accommodate massive volumes of training and business data.

Equipped with 7 vertical half-height PCI/PCIe expansion slots, this rack server offers outstanding hardware scalability. Users can install GPUs, network adapters and AI accelerator cards to upgrade computing power flexibly. It handles multiple workloads including AI deep learning, cloud computing, HPC, big data analytics, 3D graphics rendering and video decoding.

Adopting standard 2U rack design for easy cabinet installation and centralized management. It serves as stable core computing infrastructure for AI training clusters, supports local offline data processing to safeguard data privacy, and is widely adopted in data centers and supercomputing centers.