4 GPU Products Products

1. Dual socket P (LGA 3647) supports Intel® Xeon® Scalable Processors, 3 UPI up to 10.4GT/s
2. Up to 2TB ECC 3DS LRDIMM, up to DDR4-2666MHz; 16 DIMM slots
3. 6 PCI-E 3.0 x16 slots,
    1 PCI-E 3.0 x4 (in x8 slot)
4. 8 Hot-swap 3.5" drive bays
5. 2x 10GBase-T LAN ports via Intel X550
6. 1 VGA, 2 COM, 5 USB 3.0
7. 4 Heavy duty fans, 4 exhaust fans, and 2 active heatsink with optimal fan speed control
8. 2200W Redundant Power Supplies Titanium Level (96%)
9. GPU Kit for passive GPU/Coprocessor  support

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- 4GPU Support

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  NVIDIA GPUs
‣ NVIDIA DIGITS software: Interactive Deep Learning GPU Training System
‣ Pre-installed Ubuntu 14.04.2
‣ Pre-installed deep learning frameworks – Caffe, Torch, Theano, and BIDMach
‣ NVIDIA CUDA Deep Learning Neural Network library (cuDNN) v2
‣ NVIDIA CUDA Toolkit 8.0

4U or Tower / 4GPU SYSTEM / 2 CPU

1. Dual socket R3 (LGA 2011) supports Intel® Xeon® processor E5-2600 v4†/ v3 family; QPI up to 9.6GT/s
2. Up to 2TB† ECC 3DS LRDIMM , up to DDR4- 2400†MHz ; 16 DIMM slots
3. 4 PCI-E 3.0 x16 slots
    2 PCI-E 3.0 x8 (1 in x16) slots
    support Thunderbolt 2.0 AOC,
    1 PCI-E 2.0 x4 (in x8) slot; Up to 4 GPU
4. I/O ports: 1 VGA, 2 COM, 2 GbE, 10 USB 2.0, & 1 IPMI Dedicated LAN
5. 8 Hot-swap 3.5", 3 Fixed 5.25"  and 1 Fixed 3.5" Drive Bays
6. 4 Heavy Duty Fans, 2 Exhaust Fans, and 2 Active Heatsink with Optimal Fan Speed Control
7. 2000W High efficiency (96%) Redundant PSU; Titanium Level
8. Tower or Rackmount
9. GPU Kit for passive GPU support

​

- 4GPU Support

​

  NVIDIA GPUs
‣ NVIDIA DIGITS software: Interactive Deep Learning GPU Training System
‣ Pre-installed Ubuntu 14.04.2
‣ Pre-installed deep learning frameworks – Caffe, Torch, Theano, and BIDMach
‣ NVIDIA CUDA Deep Learning Neural Network library (cuDNN) v2
‣ NVIDIA CUDA Toolkit 8.0

4U or Tower / 4GPU SYSTEM / 2 CPU

  - Supports up to 4 GPUs in 1U
  - Support Active/Passive GPUs
  - GPU health monitoring with Fan speed control

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1. Dual socket P (LGA 3647) supports Intel® Xeon® Scalable Processors, 3 UPI up to 10.4GT/s
2. Up to 1.5TB ECC 3DS LRDIMM, up to DDR4-2666MHz; 12 DIMM slots
3. 4 PCI-E 3.0 x16 (FHFL) slots, 2 PCI-E 3.0 x16 (LP) slots
4. 2 Hot-swap 2.5" SAS/SATA drive bays, 2 Internal 2.5" drive bays
5. 2x 10GBase-T LAN ports via Intel X540
6. 9 Heavy duty 4cm counter-rotating fans with air shroud & optimal fan speed control
7. 2000W Redundant Power Supplies Titanium Level (96%)

​

  NVIDIA GPUs

‣ NVIDIA DIGITS software: Interactive Deep Learning GPU Training System

‣ Pre-installed Ubuntu 14.04.2

‣ Pre-installed deep learning frameworks – Caffe, Torch, Theano, and BIDMach

‣ NVIDIA CUDA Deep Learning Neural Network library (cuDNN) v2

‣ NVIDIA CUDA Toolkit 8.0

1U / 4GPU SYSTEM / 2 CPU

1. Dual socket R3 (LGA 2011) supports Intel® Xeon® processor E5-2600 v4†/ v3 family; QPI up to 9.6GT/s
2. Up to 512GB† ECC 3DS LRDIMM , up to DDR4- 2400†MHz ; 16x DIMM slots
3. 4x PCI-E 3.0 x16 slots (4x GPU cards opt.), 2x PCI-E, 3.0 x8 (in x16) LP slot
4. Intel i350 Dual port GbE LAN
5. 2x 2.5" Hot-swap drive bays,
   2x 2.5" internal drive bays
6. 9x 4cm heavy duty counter-rotating fans with air shroud & optimal fan speed control
7. 2000W Redundant Power Supplies Platinum Level (94%+)

​

- 4GPU Support

​

  NVIDIA GPUs
‣ NVIDIA DIGITS software: Interactive Deep Learning GPU Training System
‣ Pre-installed Ubuntu 14.04.2
‣ Pre-installed deep learning frameworks – Caffe, Torch, Theano, and BIDMach
‣ NVIDIA CUDA Deep Learning Neural Network library (cuDNN) v2
‣ NVIDIA CUDA Toolkit 8.0

1U / 4GPU SYSTEM / 2 CPU