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NVIDIA Optimized Deep Learning Framework powered by Apache MXNet

NVIDIA Optimized Deep Learning Framework powered by Apache MXNet

By: NVIDIA Latest Version: 21.08
Linux/Unix
Linux/Unix

Product Overview

NVIDIA Optimized Deep Learning Framework, powered by Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.

In its core is a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. The library is portable and lightweight, and it scales to multiple GPUs and multiple machines.

NVIDIA Optimized Deep Learning Framework, powered by Apache MXNet is also more than a deep learning project. It is also a collection of blueprints and guidelines for building deep learning systems and interesting insights of DL systems for hackers.

For a full list of the supported software and specific versions that come packaged with this framework based on the container image, see the Frameworks Support Matrix https://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html.

Version

21.08

By

NVIDIA

Operating System

Linux

Delivery Methods

  • Container

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