AI computing
Deep learning
Simulation of complex 3D models
Model training
High-performance computing
Omniverse, metaverse
Supports the latest Sapphire/Emerald Rapids family processors
Supports up to 10 full-height, full-length, double-wide GPU computing cards
Flexible PCI-E expansion with 13 PCIe 5.0 slots
It is suitable for artificial intelligence, deep learning, and high-performance computing
| Project | Technical Specifications: |
| Shape | 4U rack-mounted server |
| Processor | 2 * 4th/5th Gen Intel® Xeon® Scalable Processors (Sapphire/Emerald Rapids) |
| Memory | 32DIMMs Registered ECC DDR5 4800/5600MHZ SDRAM |
| RAID | SAS card, supports RAID 0/1/5/10 |
| SAS RAID card, supports RAID 0/1/5/6/50/60 | |
| It supports cache supercapacitor protection and provides functions such as RAID state migration and RAID configuration memory | |
| Hard disk | 8 x2.5 SATA 8x2.5 U.2 NVMe SSD Direct to CPU 8x2.5 U.2 NVMe SSD Direct Storage (optional) 2xM.2 NVMe |
| 8 x2.5 SATA SSD/HDDD4 x2.5 U.2 NVMe SSD directly to CPU, 2xM.2 | |
| Extend | Model 1: Supports 10 FHFL (full height and full length) dual-wide GPUs, dual-channel balanced topology; 6xPCle 5.0 x16 direct to CPU1/PLX, 6xPCle 5.0 x16 direct to CPU2/PLX, 1xPCle 5.0 x16 direct to CPU1.1 xAIOM/OCP 3.0 direct to CPU2 |
| Model 2: Supports 10 FHFL (full height and full length) dual-wide GPUs, single-channel topology; 6xPCle 5.0 x16 direct to CPU1/PLX, 6xPCle 5.0 x16 direct to CPU2/PLX, 1xPCle 5.0 x16 direct to CPU1, 1 xAIOM/OCP 3.0 direct to CPU2 | |
| Model 3: Supports 8 FHFL (full height and full length) double-wide GPUs, direct connection topology: 4xPCle 5.0 x16 direct to CPU1, 4xPCle 5.0 x 16 direct to CPU2, 1x AIOM/OCP 3.0 direct to CPU2 | |
| I/O | Rear: 1 Gigabit RJ45 management interfacez, 2 USB 3.0 ports |
| Rear: 1 VGA port | |
| Internet | Onboard dual 10 Gigabit RJ45, 1x AIOM/OPC 3.0 slot |
| Power supply | Supports 2700W (2+2) titanium power supply |
| Remark | This document is for reference only, and the specific configuration is subject to negotiation |
地址：Room 303, No. 1, Dayang 2nd Road, Yulu Community, Yutang Sub-district, Guangming District, Shenzhen City
电子邮箱 : lisa.li@mzchai.com
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