Powered by the latest NVIDIA RTX GPUs & AMD EPYC™ series processors.

• Powerful performance with one AMD EPYC™ series processor and up to 240W TDP
• Supports four double-width GPUs for maximum computing power
• Comprehensive Deep Learning software tools
• Optimized for Deep Learning, AI-Accelerated Analytics, and Graphics Intensive workloads

PRODUCT DESCRIPTION

The  AI Workstations for Data Science are based on a powerful reference architecture made up of four, high-end NVIDIA Quadro RTX™ / GeForce RTX™, or dual Titan RTX™ GPUs and NVIDIA CUDA-X AI™ accelerated data science software. CUDA-X AI is a collection of libraries that enable modern computing applications to benefit from NVIDIA’s GPU-accelerated computing platform. These data science workstations make it easy for scientists to wrangle, prep, train and deploy models quickly and accurately.

Processor

1 x AMD EPYC™ 7002 or 7003 Series Socket SP3 Processor, up to 240W TDP

System Memory (Maximum)

• 8 DIMM slots
• Supports up to 2TB Registered ECC DDR4 3200MHz SDRAM
• 8-channel memory bus
• Supports 8GB, 16GB, 32GB, 64GB, 128GB, 256GB memory modules

Graphics Processing Unit (GPU)

4 x double-width GeForce RTX / Quadro RTX / NVIDIA RTX

Expansion Slots

• 5 x PCI-E 4.0 x16
• 2 x PCI-E 4.0 x8

Connectivity

• 2 x USB3.1 Gen1 ports (@ rear)
• 1 x COM header
• 1 x D-Sub 15-pin VGA port (@ rear)
• 2 x GbE ports + 1 x GbE port dedicated for IPMI, or 2 x 10GbE ports, 2 x GbE ports, 1 x GbE port dedicated for IPMI
• 2 x 2-pin SSI front panel header
• 2 x SATA-III 6Gb/s connectors / 12 x SATA ports from 3 x Mini SAS HD connectors

Management

• Support for Intelligent Platform Management Interface v.2.0
• IPMI 2.0 with virtual media over LAN and KVM-over-LAN support

Drive Bays

• 8 x PCI slots
• 2 x 5.25”, 4 x 2.5”, 2 x combo 3.5”/2.5”

Power Supply

2000W PSU (200V) (Note: 2000W PSU is 2000W @ 200V-240V and 1500W @ 100V-120V)

System Dimensions (H x W x D)

16.3” x 13.0” x 18.0” / 415mm x 332mm x 458mm