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Technical Resources

Just getting started in AI, accelerated computing, data science, or networking? Or ready to take a deeper dive? Explore a wide range of technical resources—from beginner to advanced—that can help you on the journey to solving your most challenging problems.

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Deep Learning

 Webinars: Deep Learning Demystified
 Book: Learning Deep Learning

Machine Learning

 Course: Train Compute-Intensive Models with Azure Machine Learning
 Course: NVIDIA DeepStream Development with Microsoft Azure

Computer Vision

 Webpage: Learn Python 3
 Blog: What Is Computer Vision?
 Video: Intro to CNN
 Webpage: How Artificial Intelligence Revolutionized Computer Vision: A Brief History
 Webpage: Image Kernels
 Webinar: An Introduction to Efficient Deep Learning
 Webpage: Computer Vision Research

Conversational AI and Natural Language Processing

 Blog: What Is Conversational AI?
 Webpage: Multimodal Conversational AI

Recommender Systems

 Blog: What’s a Recommender System?
 Blog: Content Recommendation Engine vs. Traditional Online Advertising
 Webpage: NumPy Broadcasting
 Blog: Accelerate Recommender Systems with GPUs
 Blog: Accelerating Recommender Systems Training with NVIDIA Merlin Open Beta

Robotics

 Video: Postmates Presents New NVIDIA Jetson AGX Xavier Equipped Delivery Robot at GTC
 Videos: Autonomous Machines Youtube Playlist
 Code Sample: Jetson Community Projects
 Blog: NVIDIA ISAAC Platform for Robotics
 Webpage : BMW to Redefine Factory Logistics Using AI
 News Story: IEEE: Robotics Spectrum

Autonomous Vehicles

 Videos: NVIDIA DRIVE Labs
 Webinars: GTC Autonomous Vehicle Presentations
 News Stories: IEEE: Spectrum Self-Driving

NVIDIA On-Demand

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CUDA

 Video: Mythbusters Demo GPU versus CPU
 Blog: Introduction to GPUs
 Blog: An Even Easier Introduction to CUDA
 Blog: Blue Moon Over Dijon: French Hobbyist Taps GPU for Stellar Camera
 Blog: CUDA Refresher: The GPU Computing Ecosystem
 Blog: CUDA Refresher: The CUDA Programming Model
 Webinar: CUDA: New Features and Beyond
 Webpage: CUDA Best Practices Guide
 Webpage: Stanford's: Programming Massively Parallel Processors

OpenACC

 Blog: OpenACC Homepage
 Videos: More Science Less Programming
 Case Study: Massively Scaling Computational Electromagnetics Code Using OpenACC
 Case Study: COSMO Physics Modules Are Accelerated as a Part of HP2C Initiative Using OpenACC
 Case Study: Porting Industrial Computational Fluid Dynamics Applications
 Case Study: Accelerating Quantum Chemistry
 Blog: OpenACC Programming and Best Practices Guide
 Webinar: OpenACC at GTC 2020

Tools and Libraries

 Blog: Basic Linear Algebra on NVIDIA GPUs
 Code Sample: CUDA
 Blog: Fast Fourier Transforms for NVIDIA GPUs
 Blog: NVIDIA CUDA-X
 Blog: NVSHMEM
 Blog: NVIDIA NCCL
 Blog: NVIDIA Developer Tools Overview
 Blog: Triton Ocean SDK

NVIDIA On-Demand

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Python/RAPIDS

 Webpage: Learn Python 3 the Hard Way
 Webpage: The Python Tutorial
 Webpage: Learn Data Analytics in 24 Weeks
 Code Sample: RAPIDS GitHub
 Webpage: RAPIDS: Open GPU Data Science
 Webinar: Effective Data Loading Using DALI
 Blog: Scale Python with Dask on GPUs
 Blog: Deploy XGBoost on GPUs
 Blog: Winning Solution of RecSys2020 Challenge
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IT Systems, Storage & Networking Architecture

 Webinar: Revolutionizing Supercomputing with NVIDIA UFM Cyber-AI network management
 Webinar: Feeding the DGX Beast: Networking Upgrades in the DGX Family
 Blog: How RDMA Became the Fuel for Fast Networks
 Video: ASAP2 Accelerated Switch and Packet Processing
 Blog: Accelerating IO in the Modern Data Center: Network IO
 White Paper: Transform the Future of Bare Metal Clouds with BlueField SmartNIC
 ebook: Data and the Beast--Professional Guide to Data Center Networking
 Blog: GPUDirect Storage: A Direct Path Between Storage and Memory
 Webinar: Feeding the DGX Beast: Networking Upgrades in the DGX Family
 Video: NVMe over Fabrics with NVIDIA Networking

Open Networking

 Webpage: 10 Technical Reasons why NVIDIA Cumulus LInux is Unique
 Webinar: Linode creates a more flexible data center with NVIDIA Networking
 Webinar: New Era of Open Networking
 Blog: Production Ready Automation - the how and why
 Blog: EVPN on the host for multi-tenancy
 Webpage: Linux Networking 101
Webpage: Understanding Linux Internetworking

Infiniband

 Webinar: Accelerate Your TensorFlow with RDMA for InfiniBand and Ethernet
 Webinar: One Scalable Fabric for All: InfiniBand as a Cluster and Storage Fabric
 Webinar: Introducing NDR 400Gb/s InfiniBand
 Webinar: HPC at the Speed of Light
 Webinar: SuperPOD Performance Made Easy with HDR 200Gb/s InfiniBand Networking

NVIDIA On-Demand

Learning Deep Learning

Get started with deep learning with this new book from NVIDIA’s Magnus Ekman.

Learning Deep Learning is a complete guide to deep learning. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others—-including those with no prior machine learning or statistics experience. The book provides concise, well-annotated code examples using TensorFlow with Keras. And with corresponding PyTorch examples provided online, the book covers the two dominating Python libraries used for deep learning in industry and academia.

Learn More
Get started with deep learning with this new book from NVIDIA’s Magnus Ekman.

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