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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.

SELECT YOUR SOFTWARE

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

NVIDIA^® DIGITS^™

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

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.

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.

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.

DESKTOP DEVELOPMENT

NVIDIA TITAN RTX - The most powerful graphics card ever created for the PC is fueling breakthroughs in every industry.
NVIDIA Quadro® GV100 - The most advanced accelerator for deep neural network training on a professional workstation.

DATA CENTRE 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

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

GET UP AND RUNNING

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

DEEP LEARNING CLASSES

NVIDIA Deep Learning Institute offers self-paced training and instructor-led workshops
CS229: Machine Learning by Andrew Ng (Baidu)
Deep Learning at Oxford by Nando de Freitas (University of Oxford)
Neural Networks for Machine Learning by Geoffrey Hinton (Google, University of Toronto)
Deep Learning for Computer Vision by Rob Fergus (Facebook, NYU)
Learning from Data by Yasser Abu-Mostafa (Caltech)
Deep Learning for Natural Language Processing (Stanford)

BLOG POSTS AND ARTICLES

Deep Learning in a Nutshell Series by Tim Dettmers (University of Lugano, Switzerland)
Hacker's Guide to Neural Networks by Andrej Karpathy (Stanford University)
Getting Started with DIGITS by Allison Gray (NVIDIA)
Deep Learning Posts on the ParallelForAll technical blog

TECHNICAL PRESENTATION AND WEBINARS

Large-Scale Deep Learning for Building Intelligent Computer Systems by Jeff Dean (Google)
Deep Learning: What's Next by Andrew Ng (Baidu)
Deep Learning at Scale by Ren Wu (Baidu)
GPUs and Machine Learning: A Look at cuDNN by Sharan Chetlur (NVIDIA)

Optimize Your AI Workflows

CUDA-X AI software-acceleration libraries unlock the power of GPUs in your modern AI applications. Accelerate workflows from end to end and get essential optimizations for deep learning, machine learning, and data analysis.

Learn More

JOIN THE NVIDIA DEVELOPER PROGRAM

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

GET STARTED WITH DEEP LEARNING