Server SolutionsTower

 
Product ID: MWS-X299R400N
Deep Learning DevBox - 4U Rackmount Intel Core i9 X-Series CPU, Dual GeForce GTX 1080Ti for CUDA Development, AI, Machine Learning
Deep Learning DevBox - 4U Rackmount Intel Core i9 X-Series CPU, Dual GeForce GTX 1080Ti for CUDA Development, AI, Machine Learning
  

Product ID: MWS-X299R400N

  • Intel Core i9-7900X 10-Core Processor
  • Includes Dual GeForce GTX 1080Ti, Supports up to 4
  • Includes 128GB DDR4 Memory
  • Includes 1TB NVMe M.2 SSD, 8TB 3.5" Enterprise HDD
  • 4U Rackmount Convertible to Tower with Chassis Stand
  • Fully Configured with widely used Deep Learning Frameworks

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Price: $6999.95
  • Description
  • Technical Specification

The MITXPC MWS-X299R400N 4U Rackmount Server is preconfigured for Deep Learning Applications. It pairs the Intel Core i9-7900X 10-Core processor with dual Nvidia GeForce GTX 1080Ti GPUs in a 4U Rackmount that can be converted to a tower. It supports up to 4 GPUs total. Liquid cooling and auxiliary case fans are installed to keep the system cool through intensive operations. Includes the maximum 128GB memory, a 1TB NVMe SSD boot drive, and a 8TB Enterprise 3.5" HDD for storage. The boot drive is preconfigured with widely used deep learning frameworks.


Key Features
  • Intel Core i9-7900X 10-Core Processor
  • Includes Dual GeForce GTX 1080Ti, Supports up to 4
  • Includes 128GB DDR4 Memory
  • Includes 1TB NVMe M.2 SSD, 8TB 3.5" Enterprise HDD
  • 4U Rackmount Convertible to Tower with Chassis Stand
  • Fully Configured with widely used Deep Learning Frameworks

Featured Technologies

Intel Core i9 X-Series GeForce GTX Deep Learning

System Components

General
  • Intel Core i9-7900X 10-Core Processor
  • Hydro Series H60 High Performance Liquid Cooler
  • Dual GeForce GTX 1080 Ti w/ 11 GDDR5X Graphics Card
  • Intel Chipset X299 Motherboard
  • R400N 4U Rackmount Case
  • Clonezilla Live USB Flash Drive
Memory & Storage
  • 128GB DDR4 DIMM Memory Installed
  • 1TB NVMe M.2 Solid State Drive Installed
  • 8TB 3.5" Enterprise Hard Drive Installed
Power
  • 1600W 80+ Gold Power Supply (Internal)

Deep Learning DevBox - 4U Rackmount Intel Core i9 X-Series CPU, Dual GeForce GTX 1080Ti for CUDA Development, AI, Machine Learning
Product ID MWS-X299R400N
CPU Intel Core i9-7900X Processor
3.3 - 4.3 GHz
10 core / 20 Threads
140W TDP, 14nm, 13.75MB Cache
Chipset Intel X299
Memory Includes 128GB DDR4 DIMM
8 x 288-pin DDR4 DIMM
Maximum 128GB Capacity
2666MHz Minimum
Non-ECC, Un-Buffered Memory
Video Includes 2 x GeForce GTX 1080 Ti Graphics Card
11GB GDDR5X Memory
3584 Cuda Cores
Supports up to 4 GPUs total
Audio Realtek S1220A HD Audio Codec
8-Channel
120 dB SNR Output, 113 dB SNR Input
Storage Technology 8 x SATA3: 6Gb/s
2 x M.2: PCIE 3.0 x4
2 x U.2
Supports RAID 0, 1, 5, 10
Supports Intel RST
Supports Intel Optane Memory
Connectivity 1 x Intel I210-AT GbE LAN
1 x Intel I219-LM GbE LAN
Expansion Slots 7 x PCI-E 3.0 x16 slots
(Quad x16/x16/x16/x16 or Seven x16/x8/x8/x8/x8/x8/x8)
Rear I/O On Motherboard:
1 x USB BIOS Flashback Button
4 x USB 2.0
6 x USB 3.1 Gen 1 5Gb/s
2 x RJ45 Ethernet
1 x USB 3.1 Gen 2 (Type-A)10Gb/s
1 x USB 3.1 Gen 2 (Type-C)10Gb/s
6 x Audio I/O
On Video Card:
3 x DisplayPort
1 x HDMI
Ports vary with graphics card selection.
Front Panel I/O 2 x USB 2.0
1 x Power Button
1 x Reset Button
5 x Status LED (Power, HDD, LAN)
Drive Support Includes 1TB NVMe M.2 Solid State Drive
Includes 8TB 3.5" Enterprise Hard Drive

3 x 5.25" Drive Bays (External)
1 x 3.5" Drive Bay (External)
3 x 3.5" Drive Bays (Internal)
1 x 2.5" Drive Bay (Internal)
1 x M.2 (2242/2260/2280/22110) (occupied)
1 x M.2 (2242/2260/2280)
Fan Support Includes 120x25mm PWM Case Fan (Front)
2 x 80x25mm Rear Fans
Power Supply 1600W 80+ Gold ATX Power Supply
AC Input: 115-240 VAC, 17-10 A, 50-60 Hz
Max Output: +3.3V/24A, +5V/24A, +12V/133.3A, +5Vsb/3A, -12V/0.5A
Case Dimensions 508 x 482.6 x 178mm
20" x 19" x 7" (in inches)
OS Software Ubuntu 16.04.3 LTS
Nvidia GPU driver, Nvidia CUDA Toolkit, Nvidia cuDNN
Deep Learning 4J (DL4J), Microsoft Cognitive (CNTK)
Caffe, TensorFlow, Torch7, PyTorch and Torchvision
MXnet, OpenCV, BIDMach, Theano, Docker, Digits
Scikit-learn, Scikit-image
Warranty 1-Year Warranty on Parts and Labor

 

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