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PyTorch 0.3 Python 3.6 NVidia GPU CUDA 9 Production on Ubuntu

PyTorch 0.3 Python 3.6 NVidia GPU CUDA 9 Production on Ubuntu

By: Jetware Latest Version: 180211p030p363c90176c705

Product Overview

A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU. The stack includes CUDA, a parallel computing platform and API model; and cuDNN, a GPU-accelerated library of primitives for deep neural networks. It also includes NVidia drivers; Selfmanagement Preset, a self-management, self-monitoring and self-healing components; and Development preset, program development and building tools, including C compiler, make etc.

Versions: PyTorch 0.3.0, Python 3.6.3, CUDA 9.0.176, cuDNN 7.0.5, NVidia drivers 384.111, Development preset 1, Libc 2.22, OpenBLAS 0.2.20, NumPy 1.13.3.





Operating System

Linux/Unix, Ubuntu 16.04

Delivery Methods

  • Amazon Machine Image

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