GET STARTED WITH
DEEP LEARNING

Three simple steps to kick off your deep learning projects for a solo project, a small team, or at scale.

1

SELECT YOUR SOFTWARE

Find the software that’s right for you. Choose from an interactive app, customizable frameworks, or high-performance libraries.

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NVIDIA ® DIGITS


Interactively manage data and train deep learning models for image classification, object detection, and image segmentation without the need to write code.

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DEEP LEARNING FRAMEWORKS

Design and train deep learning models using a high-level interface. Choose a deep learning framework that best suits your needs based on your choice of programming language, platform, and target application.

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NVIDIA DEEP LEARNING SDK


This NVIDIA Deep Learning SDK delivers high-performance multi-GPU acceleration and industry-vetted deep learning algorithms, and is designed for easy drop-in acceleration for deep learning frameworks.
2

CHOOSE A GPU

NVIDIA GPUs for deep learning are available in desktops, notebooks, servers, and supercomputers around the world, as well as in cloud services from Amazon, IBM, Microsoft, and Google. You can choose a plug-and-play deep learning solution powered by NVIDIA GPUs or build your own.

NVIDIA TITAN X

DESKTOP DEVELOPMENT

  • NVIDIA TITAN X - The fastest accelerator for deep neural network training on a desktop PC based on the revolutionary NVIDIA Pascal architecture
NVIDIA DGX-1

DATA CENTER SOLUTIONS

  • NVIDIA DGX-1™ - The world’s first purpose-built system for deep learning with fully integrated hardware and software that can be deployed quickly and easily
  • NVIDIA Tesla® P100 - The most advanced accelerator for deep learning training based on the Pascal architecture
  • NVIDIA Tesla® P40 – The fastest deep learning inference accelerator
  • NVIDIA Tesla® P4 – A low-power, small form-factor GPU accelerator optimized for video transcoding, image recognition and processing, and deep learning inference
Embedded Applications

EMBEDDED APPLICATIONS

  • NVIDIA Jetson TX2 Developer Kit – a full-featured development platform for AI computing. It comes with design guides and documentation, is pre-flashed with a Linux development environment, and supports the NVIDIA Jetpack SDK.
  • NVIDIA DRIVE™ PX – a self-driving car computer based on the NVIDIA Tegra X1 processor.
GPU-Accelerated Cloud Services

GPU-ACCELERATED CLOUD SERVICES

3

GET UP AND RUNNING

Choose the options that best suit your needs and learning style.

DEEP LEARNING CLASSES

BLOG POSTS AND ARTICLES

TECHNICAL PRESENTATION AND WEBINARS

JOIN THE NVIDIA DEVELOPER PROGRAM

Access everything you need to develop with NVIDIA products. It’s free to join and open to all.