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SPEED UP DEEP LEARNING TRAINING WITH GPU-ACCELERATED TORCH
The fastest, easiest way to get started with Torch on GPUs.
GPU-ACCELERATED TORCH

Hardware Configuration

PC
Parameter
Specs
CPU Architecture
x86_64
System Memory  
8-32GB
CPUs
1
GPU Model
NVIDIA® TITAN X
GPUs
1-2
SERVERS
Parameter
Specs
CPU Architecture
x86_64
System Memory
32 GB
CPUs per Nodes
1-2
GPU Model
 
Tesla® P100
Tesla® M40
GPUs cards per Node
1-4
 
 

Software Configuration

Software Stack
Parameter
Version
OS
Ubuntu 14.04
GPU Driver
352.68 or newer
CUDA Toolkit
8.0 or newer
cuDNN Library
v5.0 or newer
Python
2.7
 

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