Top 4 best pc i9 gtx 1080ti
Finding the best pc i9 gtx 1080ti suitable for your needs isnt easy. With hundreds of choices can distract you. Knowing whats bad and whats good can be something of a minefield. In this article, weve done the hard work for you.
1. Deep Learning Mini DevBox - Intel Core i9 7900X, 2x NVIDIA GeForce GTX 1080 Ti, 64GB memory, 4TB HDD- Preinstalled Ubuntu16.04 CUDA8 cuDNN DL4J CNTK MXNET Caffe PyTorch Torch7 Tensorflow Docker SciKit
Feature
Intel Core i9-7900X 3.3 GHz Deca Core Processor; Hydro Series High Performance Liquid CPU Cooler64GB DDR4-2400MHz Memory Included; 256GB M.2 NVMe SSD; 4TB Enterprise 3.5" SATA Hard Drive Included
Dual NVIDIA GeForce GTX 1080Ti w/ 11GB GDDR5X
Preinstalled Ubuntu16.04, CUDA8, cuDNN6, Deep Learning 4J (DL4J), Microsoft Cognitive (CNTK), MXnet, Caffe, PyTorch, Torchvision, Torch7, Tensorflow, Theano, Docker, Scikit, OpenCV, BIDMach
Case Dimensions: 397mm x 260mm x 320mm , 15.63" x 10.24" x 12.60"
Description
The MITXPC MWS-X299MDL CUDA Workstation pairs the Intel Core i9-7900X Deca-Core Processor and 2 x NVIDIA GeForce GTX 1080 Ti GPU in an compact, small form-factor. Equipped with dual GPU, a boot drive and storage drive in its base configuration, the MWS-X299MDL Workstation can easily support up to 2 x Graphics Cards for lab, development and machine-learning/deep-learning applications. Liquid cooling and auxiliary case fans are installed to keep the system cool through intensive operation. The MWS-X299MDL is built with Ubuntu 16.04.3 LTS with the NVIDIA CUDA 8.0 toolkit and auxiliary packages (full list of installed packages in technical specifications).2. Deep Learning Mini DevBox - Intel Core i9 7900X, 1x NVIDIA GeForce GTX 1080 Ti, 64GB memory, 4TB HDD- Preinstalled Ubuntu16.04 CUDA8 cuDNN DL4J CNTK MXNET Caffe PyTorch Torch7 Tensorflow Docker SciKit
Feature
Intel Core i9-7900X 3.3 GHz Deca-Core Processor; Hydro Series High Performance Liquid CPU Cooler64GB DDR4-2400MHz Memory Included; 256GB M.2 NVMe SSD; 4TB Enterprise 3.5" SATA Hard Drive Included
Single NVIDIA GeForce GTX 1080Ti w/ 11GB GDDR5X; Supports up to 2 GPUs in 2-Way SLI
Preinstalled Ubuntu16.04, CUDA8, cuDNN6, Deep Learning 4J (DL4J), Microsoft Cognitive (CNTK), MXnet, Caffe, PyTorch, Torchvision, Torch7, Tensorflow, Theano, Docker, Scikit, OpenCV, BIDMach
Case Dimensions: 397mm x 260mm x 320mm , 15.63" x 10.24" x 12.60"
Description
The MITXPC MWS-X299MDL CUDA Workstation pairs the Intel Core i9-7900X Deca-Core Processor and 1 x NVIDIA GeForce GTX 1080 Ti GPU in an compact, small form-factor. Equipped with a single GPU, a boot drive and storage drive in its base configuration, the MWS-X299MDL Workstation can easily support up to 2 x Graphics Cards for lab, development and machine-learning/deep-learning applications. Liquid cooling and auxiliary case fans are installed to keep the system cool through intensive operation. The MWS-X299MDL is built with Ubuntu 16.04.3 LTS with the NVIDIA CUDA 8.0 toolkit and auxiliary packages (full list of installed packages in technical specifications).3. Deep Learning DevBox - Intel Core i9-7920X, 2x NVIDIA GeForce GTX 1080 Ti, 128GB memory, 256GB M.2 NVMe, 4TB HDD - Ubuntu16.04 CUDA8 cuDNN DL4J CNTK MXNET Caffe PyTorch Torch7 Tensorflow Docker SciKit
Feature
Intel X299 With Intel Core i9-7920X 2.8 GHz 12-Core Processor; Hydro Series Extreme Performance Liquid CPU Cooler128GB DDR4-2400MHz UDIMM Memory Included; 256GB M.2 NVMe SSD & 4TB 3.5" SATA Enterprise Hard Drive Included
2 x NVIDIA GeForce GTX 1080Ti w/ 11GB GDDR5X GPU
Supports 3 Front-load 3.5" SATA Drives & 2 Internally; Supports M.2 NVMe Drive; RAID 0, 1, 5, 10 and Intel Rapid Storage Technology 13 support
1600W 80 PLUS Gold Fully Modular Power Supply; Case Dimensions: 415mm x 332mm x 458mm
Description
The MITXPC MWS-X299DL Workstation and High Performance PC pairs the Intel Core i9-7920X 12-Core Processor with 2 x NVIDIA GeForce GTX 1080 Ti GPUs in an compact, mid-tower package. The MWS-X299DL Workstation can easily support up to 4 x GPUs and several drives as needed for various Deep-learning, AI and Machine-learning applications. Liquid cooling and auxiliary case fans are installed to keep the system cool through intensive operation. The MWS-X299DL Workstation includes a 256GB NVMe SSD as a boot drive and a 4TB Enterprise Hard Drive for storage. A full array of development software and tools are pre-loaded and this system arrives ready out of the box.4. Deep Learning DevBox for CUDA Development, Deep Learning, AI - MINI EDITION (Intel Core i9-7900X Deca-Core Processor, 1 x Nvidia GTX 1080Ti GPU)
Feature
Intel Kaby Lake Core Processor, Hydro Series High Performance Liquid CPU Cooler32GB DDR4-2400MHz Memory Included; 64GB MAX
1TB M.2 NVMe SSD Boot Drive Included, 2TB 3.5" SATA Enterprise Storage Drive Included
1000W 80 PLUS Gold Modular Power Supply
Windows 10 with NVIDIA CUDA Drivers and Toolkit
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