GOOXI Intel AI Server, Integration of High Performance, Scalability and Density - SY4104G-D12R
Integration of High Performance, Scalability and Density
A 4-card AI server designed and developed for high performance requirements based on the Intel® Xeon® Scalable Processor Platform, supporting 4 Geforce, Tesla, or Quadro GPUs in 4U of space, which represents the convergence of performance, scalability, and density.
- Supports one or two first-generation and second-generation Intel Xeon Scalable series processors
- Supports 12 DDR4 memory slots with memory frequencies of 2133/2400/2666/2933MHz, with a maximum memory capacity of up to 1.5TB
- Onboard are two PCIe 3.0 x2 M.2 slots (size 2280) to meet high-speed caching needs
- Supports 10 high-speed PCIe 3.0 expansion slots, offering ample expansion capabilities
Comprehensive Performance Improvement
Supports 1 or 2 Intel Xeon Scalable processors with a maximum power consumption of 205W.Accommodates 12 DDR4 RECC RDIMM/LRDIMM memory slots, with a maximum memory capacity of up to 1.5TB.
Outstanding Storage and Expansion Capability
Supports up to 12 hot-swappable 3.5"/2.5" SATA/SAS3.0 drives, with an additional 2 hot-swappable 2.5" SATA/SAS/NVME drives at the rear, offering extensive data storage capacity.Provides support for up to 10 PCIe expansion slots to meet various expansion needs.
Superb Integrated Computing Power
Employs 2 Intel Xeon Scalable processors combined with 4 GPU cards for efficient image processing capabilities.CPU and GPU are directly connected, significantly reducing communication latency. The GPU serves as the primary processor while the CPU acts as a coprocessor, resulting in remarkable computational power.
Outstanding Network and Management Performance
Features onboard Ethernet controllers, ensuring reliable and fast network connectivity.Offers iKVM (KVM over Ethernet) remote management functionality along with a dedicated Gigabit management port. This enables remote management through a keyboard, monitor, and mouse, facilitating real-time monitoring and operations, including power on/off, to ensure timely system maintenance by system administrators.
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