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TFNEW SYR6108G-D12R-G5 6U GPU AI Server

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.

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WHY THIS PRODUCT

TFNEW SYR6108G-D12R-G5 6U GPU AI Server

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.

Compute Performance

1 or 2 AMD EPYC Turin processors; compatible with AMD EPYC Genoa; up to 500 W TDP

Storage and Expansion

12 hot-swappable 3.5/2.5-inch SAS/SATA/NVMe drives; Up to 12 PCIe expansion slots

Redundant Power

2000/2200/2700/3200 W modules; 3+1 or 2+2 redundancy

Specifications

ModelSYR6108G-D12R-G5
Form Factor6U rackmount GPU AI server
Processor1 or 2 AMD EPYC Turin processors; compatible with AMD EPYC Genoa; up to 500 W TDP
GPUUp to 8 x 600 W dual-width, 2.5-width or 3.3-width GPUs
Memory24 DDR5 slots; 4800/5600/6400 MHz
Storage12 hot-swappable 3.5/2.5-inch SAS/SATA/NVMe drives
Network2 x 1GbE RJ45 service ports; 1 dedicated RJ45 management port
I/O InterfacesFront: 2 x USB 3.0, 1 x VGA; rear: serial, 2 x USB 3.0, VGA and RJ45 ports
ExpansionUp to 12 PCIe expansion slots
Power2000/2200/2700/3200 W modules; 3+1 or 2+2 redundancy
Dimensions910 x 444 x 265 mm (D x W x H)
ApplicationsAI training, inference, cloud gaming, virtualization, big-data analytics and digital twins
SKU0102024
Warranty-
Lead Time-
SKU0102024
Warranty-
Lead time-

Applications

Applications

AI training, inference, cloud gaming, virtualization, big-data analytics and digital twins

AI and Data Processing

AI training, inference, cloud gaming, virtualization, big-data analytics and digital twins

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Deployment

Deployment

Confirm CPU, expansion cards, power and facility requirements against the project configuration.

1

Requirements Review

Confirm CPU, memory, storage and expansion needs.

2

Compatibility Check

Review network, power and cooling conditions.

3

Delivery and Testing

Confirm the configuration and test under load before delivery.

Resources

Resources

Configuration-specific documentation is available on request.

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