AI workloads—from massive model training to digital twins and scientific simulations—are pushing computing density to its limits. High-performance CPUs and GPUs deliver extraordinary power, but they also generate tremendous heat, creating a major challenge for data centers.

Liquid Cooling for High-Density Workloads

Gooxi SY4108G-G4 4U 8-GPU AI server tackles this challenge with cold-plate liquid cooling. Full-coverage cold plates make direct contact with CPU and GPU cores, dramatically improving heat dissipation. A sealed circulation system, combined with 12 N+1 redundant fans, forms a hybrid cooling matrix that keeps the server stable even under extreme workloads. This ensures AI training, cloud computing, and other high-demand applications run continuously and reliably.

High-Speed Memory and Flexible Storage

Memory and storage are designed for both speed and flexibility. With 32 DDR5 slots supporting 4400, 4800, and 5600MHz frequencies, the system provides high-bandwidth channels for massive data throughput. Storage options are tailored to workload needs: the direct-connection SY4108G-D12R-G4 supports 12 hot-swap 3.5”/2.5” SATA, SAS, or NVMe drives, while the switch-type SY4108G-D24R-G4 accommodates 24 hot-swap 2.5” drives. Two onboard M.2 interfaces add another layer of high-speed storage, creating a multi-tier architecture that balances speed and capacity for demanding AI workloads.

Scalable Expansion and Reliable Operation

SY4108G-G4 also excels in expansion and reliability. Up to 15 PCIe 5.0 slots and OCP 3.0 network interfaces enable full GPU interconnect and high-speed networking. Redundant power modules from 2000W to 2700W ensure stable operation under full load. Dual-redundant BMC/BIOS, TPM 2.0 security, and chassis intrusion alerts enhance reliability and maintainability, while support for mainstream operating systems ensures seamless integration into diverse AI environments.

With its innovative liquid cooling, high-speed memory, flexible storage, and robust reliability, SY4108G-G4 empowers enterprises to run AI workloads efficiently and safely, keeping compute power flowing even under the most demanding conditions.