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Rack Servers
Model: SYR6108G-D12R-G5 · SKU: 0102024
6U GPU AI server supporting one or two AMD EPYC Turin processors, AMD EPYC Genoa compatibility, eight 600 W GPUs, 24 DDR5 slots and twelve hot-swappable drive bays.
Reference configuration
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Selection & delivery
WHY THIS PRODUCT
6U GPU AI server supporting one or two AMD EPYC Turin processors, AMD EPYC Genoa compatibility, eight 600 W GPUs, 24 DDR5 slots and twelve hot-swappable drive bays.
1 or 2 AMD EPYC Turin processors; compatible with AMD EPYC Genoa; up to 500 W TDP
12 hot-swappable 3.5/2.5-inch SAS/SATA/NVMe drives; Up to 12 PCIe expansion slots
2000/2200/2700/3200 W modules; 3+1 or 2+2 redundancy
| Model | SYR6108G-D12R-G5 |
|---|---|
| Form Factor | 6U rackmount GPU AI server |
| Processor | 1 or 2 AMD EPYC Turin processors; compatible with AMD EPYC Genoa; up to 500 W TDP |
| GPU | Up to 8 x 600 W dual-width, 2.5-width or 3.3-width GPUs |
| Memory | 24 DDR5 slots; 4800/5600/6400 MHz |
| Storage | 12 hot-swappable 3.5/2.5-inch SAS/SATA/NVMe drives |
| Network | 2 x 1GbE RJ45 service ports; 1 dedicated RJ45 management port |
| I/O Interfaces | Front: 2 x USB 3.0, 1 x VGA; rear: serial, 2 x USB 3.0, VGA and RJ45 ports |
| Expansion | Up to 12 PCIe 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 gaming, virtualization, big-data analytics and digital twins |
| SKU | 0102024 |
| Warranty | - |
| Lead Time | - |
| SKU | 0102024 |
| Warranty | - |
| Lead time | - |
Applications
AI training, inference, cloud gaming, virtualization, big-data analytics and digital twins
AI training, inference, cloud gaming, 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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