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Rack Servers
Model: SYR6108G-D12R-G3 · SKU: 0102025
6U GPU AI server supporting one or two AMD EPYC 7003 processors, AMD EPYC 7002 compatibility, eight 600 W GPUs, 32 DDR4 slots and twelve hot-swappable drive bays.
Reference configuration
Tailored to your project
Fits your environment
Selection & delivery
WHY THIS PRODUCT
6U GPU AI server supporting one or two AMD EPYC 7003 processors, AMD EPYC 7002 compatibility, eight 600 W GPUs, 32 DDR4 slots and twelve hot-swappable drive bays.
1 or 2 AMD EPYC 7003 processors; compatible with AMD EPYC 7002; up to 280 W TDP
12 hot-swappable 3.5/2.5-inch SAS/SATA/NVMe drives; Up to 12 PCIe 4.0 expansion slots
2000/2200/2700/3200 W modules; 3+1 or 2+2 redundancy
| Model | SYR6108G-D12R-G3 |
|---|---|
| Form Factor | 6U rackmount GPU AI server |
| Processor | 1 or 2 AMD EPYC 7003 processors; compatible with AMD EPYC 7002; up to 280 W TDP |
| GPU | Up to 8 x 600 W dual-width, 3-width or 3.5-width GPUs |
| Memory | 32 DDR4 slots; up to 3200 MHz |
| Storage | 12 hot-swappable 3.5/2.5-inch SAS/SATA/NVMe drives |
| Network | 1 dedicated RJ45 management port; service networking by project configuration |
| I/O Interfaces | Front: 2 x USB 3.0, 1 x VGA; rear: serial, 2 x USB 3.0, VGA and management RJ45 |
| Expansion | Up to 12 PCIe 4.0 expansion slots |
| Power | 2000/2200/2700/3200 W modules; 3+1 or 2+2 redundancy |
| Dimensions | 910 x 444 x 265 mm (D x W x H) |
| Applications | AI training, inference, cloud computing, virtualization, big-data analytics and digital twins |
| SKU | 0102025 |
| Warranty | - |
| Lead Time | - |
| SKU | 0102025 |
| Warranty | - |
| Lead time | - |
Applications
AI training, inference, cloud computing, virtualization, big-data analytics and digital twins
AI training, inference, cloud computing, virtualization, big-data analytics and digital twins
Contact our team →Deployment
Confirm CPU, expansion cards, power and facility requirements against the project configuration.
Confirm CPU, memory, storage and expansion needs.
Review network, power and cooling conditions.
Confirm the configuration and test under load before delivery.
Resources
Configuration-specific documentation is available on request.
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