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Hands-on learning is key for anyone new to AI and robotics. Priced for everyone, the Jetson Nano Developer Kit is the best way to get started learning how to create AI projects.

The NVIDIA Jetson Nano Developer Kit is a small AI computer for makers, learners, and developers. Jetson Nano is also the perfect tool to start learning about AI and robotics in real-world settings, with ready-to-try projects and the support of an active and passionate developer community. Begin developing your first AI projects today.

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform here.

On-Demand Sessions

Jetson 101: Learning Edge AI Fundamentals

Speaker: Dustin Franklin, Developer Evangelist for Jetson, NVIDIA

Discover how to get started creating your own AI-powered projects on Jetson Nano with deep learning and computer vision. 

Optimizing for Edge AI on Jetson

Speaker: John Welsh, Developer Technology Engineer of Autonomous Machines

Learn about workflows for optimizing deep learning models for inference at the edge with NVIDIA Jetson.

Demos

Getting started with Jetson Nano 2GB Developer Kit

Jetson Community Projects

Explore and learn from Jetson projects created by us and our community. These have been created for Jetson developer kits. Scroll down to see projects with code, videos and more.

Engineers, product developers and designers worldwide attended GTC to learn how the latest NVIDIA technologies are accelerating real-time, interactive rendering and simulation workflows.

Engineers, product developers and designers worldwide attended GTC to learn how the latest NVIDIA technologies are accelerating real-time, interactive rendering and simulation workflows.

We showcased the latest NVIDIA-powered AI and real-time ray tracing tools that have made creativity faster and easier for artists and designers. We also discussed with industry luminaries about their vision for the future of AI and real-time ray tracing, and how Autodesk and Adobe have integrated the technology into their most popular applications. All of these GTC sessions are now available through NVIDIA On-Demand.

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform.

On-Demand Sessions

A Shared Vision for the Future of AI: Fireside Chat with NVIDIA founder and CEO Jensen Huang, and Adobe CTO Abhay Parasnis
Learn from the CTO of Adobe, Abhay Parasnis, and NVIDIA founder and CEO Jensen Huang about the powerful impact AI has on the world’s most inspiring creators and where it will take us next.

Digital Human for Digital Twins
Speakers: NVIDIA, wrnch, Reallusion

Watch this talk about the importance of simulating human action and movement in a digital environment, and how advancements in AI are paving the way for digital-twin humans.

The Future of GPU Ray Tracing
Speakers: Adobe/Solid Angle, OTOY, Blur Studio, Epic Games, Pixar, Redshift Rendering Technologies, Isotropix, Chaos Group

This panel discussion features leaders of GPU accelerated ray tracing sharing their thoughts around the technology and impact to creative professionals and workflows.

New SDK Releases

NVIDIA OptiX 7.3 Available Now
Download the latest version of OptiX that offers improved ray tracing performance while reducing GPU resources.

Accelerate Special Effects with NanoVDB
NanoVDB adds real time rendering GPU support for OpenVDB. Download the latest version now, which includes memory savings while generating complex special effects.

All the professional graphics and simulation sessions at GTC are now available for free on NVIDIA On-Demand.

This year at GTC we announced the release of NVIDIA Maxine, a GPU-accelerated SDK for building innovative virtual collaboration and content creation applications such as video conferencing and live streaming.

AI has been instrumental in providing exciting features and improving quality and operational efficiency for conferencing, media delivery and content creation. 

This year at GTC we announced the release of NVIDIA Maxine, a GPU-accelerated SDK for building innovative virtual collaboration and content creation applications such as video conferencing and live streaming. 

Check out some of the most popular sessions, demos, and videos from GTC showcasing Maxine’s latest advancements:

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform here. 

SDK

NVIDIA Maxine Now Available
With Maxine’s AI SDKs—Video Effects, Audio Effects, and Augmented Reality (AR)—developers can now create real-time, video-based experiences easily deployed to PCs, data centers, and the cloud. Maxine can also leverage NVIDIA Jarvis to access conversational AI capabilities such as transcription, translation, and virtual assistants.

On-Demand

How NVIDIA’s Maxine Changed the Way We Communicate
Hear from Avaya’s Mike Kuch, Sr. Director of Solutions Marketing, and Paul Relf, Sr. Director of Product Management about Avaya Spaces built on CPaaS. Avaya is making capabilities associated with meetings available in contact centers. With AI noise elimination, agents and customers can hear each other in noisy environments. We’re combining components to realize the art of the possible for unique experiences by Avaya with NVIDIA AI.

Real-time AI for Video-Conferencing with Maxine
Learn from Andrew Rabinovich, Co-Founder and CTO, Julian Green, Co-Founder and CEO, and Tarrence van As, Co-Founder and Principal Engineer, from Headroom about applying the latest AI research on real-time video and audio streams for a more-human video-conferencing application. Explore employing generative models for super-resolution, giving order-of-magnitude reduced bandwidth. See new solutions for saliency segmentation delivering contextual virtual backgrounds of stuff that matters. 

Demo

Building AI-Powered Virtual Collaboration and Content Creation Solutions with NVIDIA Maxine
With new state-of the-art AI features for video, audio, and augmented reality—including AI face codec, eye contact, super resolution, noise removal, and more—NVIDIA Maxine is reinventing virtual collaboration on PCs, in the data center, and in the cloud. 

Reinvent Video Conferencing, Content Creation & Streaming with AI Using NVIDIA Maxine
Developers from video conferencing, content creation and streaming providers such as Notch, Headroom, Be.Live, and Touchcast are using the Maxine SDK to create real-time video-based experiences easily deployed to PCs, data centers or in the cloud.

NVIDIA is enabling these organizations to easily develop accelerated applications and implement cybersecurity frameworks in order to deliver breakthrough networking, security, and storage performance with a comprehensive, open development platform.

As organizations embrace cloud and edge computing models, they are looking for more efficient, modern computing architectures that create a secure, accelerated, virtual private cloud (SA-VPC), able to support multi-tenancy and deliver applications at data center scale with all the necessary levels of performance and cyber protection. NVIDIA is enabling these organizations to easily develop accelerated applications and implement cybersecurity frameworks in order to deliver breakthrough networking, security, and storage performance with a comprehensive, open development platform.

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform here. 

 

On-Demand Session

Program Data Center Infrastructure Acceleration with the Release of DOCA and the Latest DPU Software
Speakers: Ariel Kit, Director of Product Marketing for Networking, NVIDIA  and Ami Badani, Vice President of Marketing NVIDIA

DPU experts Ami Badani and Ariel Kit discuss how NVIDIA DOCA is enabling new infrastructure acceleration and management features in BlueField all while simplifying programming and application integration.

Morpheus: AI Inferencing for Cybersecurity Pipelines
Speaker: Bartley Richardson, NVIDIA

What does NVIDIA Morpheus mean for the future of the data center and cloud security? Take a deep-dive into the newly announced AI cybersecurity framework with engineer manager, Bartley Richardson by watching this on demand GTC 21 session.

SDK

NVIDIA DOCA
Develop applications with breakthrough networking, security, and storage performance using NVIDIA DOCA — the newly released complete, open software platform.

NVIDIA Morpheus
Detect Cybersecurity threats in an Instant with NVIDIA Morpheus, a new AI framework for creating zero-trust data center security.

Click here to view all of the Data Center Networking sessions and demos on NVIDIA On-Demand.

NVIDIA Isaac is a developer toolbox for accelerating the development and deployment of AI-powered robots. The SDK includes Isaac applications, GEMs (robot capabilities), a Robot Engine, and Isaac Sim.

Isaac SDK is the robotics platform for accelerating the development and deployment of robotics applications. The SDK is the toolkit which is GPU-optimized for AI and computer vision applications, including perception, navigation, and manipulation features enabled by AI.

Isaac Sim leverages the powerful NVIDIA Omniverse to build the next generation of robotics and AI simulator. Start building virtual robotic worlds and experiments, supporting navigation and manipulation applications through the Isaac SDK with RGB-D, lidar and inertial measurement unit (IMU) sensors, domain randomization, ground truth labeling, segmentation, and bounding boxes.

Here are some resources to introduce you to the Isaac platform.

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform here.

On-Demand Sessions

Sim-to-Real in Isaac Sim
Speakers: Hai Loc Lu, Lead System Software Engineer, NVIDIA; Michael Gussert, Deep Learning Engineer, NVIDIA

Learn how to train and test robots in virtual environments with Isaac Sim on Omniverse, then transfer to physical Jetson powered robots.

Isaac Gym: End-to-End GPU-Accelerated Reinforcement Learning
Speakers: Gavriel State, Senior Director for Simulation and AI, NVIDIA; Lukasz Wawrzyniak, Senior Engineer, NVIDIA

Isaac Gym is NVIDIA’s environment for high-performance reinforcement learning on GPUs. We will review key API features, demonstrate examples of training agents, and provide updates on future integration of Isaac Gym functionality within the NVIDIA Omniverse platform. We will demonstrate how to create environments with thousands of agents to train in parallel, and how the Isaac Gym system allows developers to create tensor based views of physics state for all environments. We will also demonstrate the application of physics based domain randomization in Isaac Gym, which can help with sim2real transfer of learned policies to physical robots.

Bridging Sim2Real Gap: Simulation Tuning for Training Deep Learning Robotic Perception Models
Speaker: Peter Dykas, Solutions Architect, NVIDIA

Deep neural networks enable accurate perception for robots. Simulation offers a way to train deep learning robotic perception models that were previously not possible in scenarios where it is prohibitively expensive, time-consuming, or infeasible to collect large labeled datasets. We’ll dive into how NVIDIA is bridging the gap between simulation and reality with domain randomization, photorealistic simulation, and accurate physics imitation with Isaac Sim, and more.

Docs

NVIDIA Carter
Carter is a robot developed as a platform to demonstrate the capabilities of the Isaac SDK. It is based on a differential drive and uses lidar and a camera to perceive the world. This document walks you through hardware assembly and software setup for Carter.

Getting Started Tutorials and Sample Applications
Over 30 tutorials and samples provided with Isaac SDK to get you started.

Click here to view more Isaac SDK sessions on NVIDIA On-Demand.

The annual DRIVE Developer Days was held during GTC 2021, featuring a series of specialized sessions on AV development led by NVIDIA experts. Learn about perception, mapping, simulation and more anytime with NVIDIA On-Demand.

The annual DRIVE Developer Days was held during GTC 2021, featuring a series of specialized sessions on autonomous vehicle hardware and software, including perception, mapping, simulation and more, all led by NVIDIA experts. These sessions are now available to view anytime with NVIDIA On-Demand.

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform here. 

 

On-Demand Sessions

DRIVE AGX Hardware Update with NVIDIA Orin

Speaker: Gary Hicok, Senior Vice President, Hardware and Systems, NVIDIA

This session will provide an early look at the next generation of DRIVE AGX hardware platforms based on the upcoming NVIDIA Orin SoC.

 

Turbocharge Autonomous Vehicle Development with DRIVE OS and DriveWorks

Speaker: Stephen Jones, Product Line Manager & Hope Allen, Product Manager, DriveWorks, NVIDIA

Learn how NVIDIA DRIVE OS and DriveWorks turbocharge autonomous vehicle development, delivering foundational autonomous tools and functional safety while simultaneously optimizing NVIDIA DRIVE AGX compute performance.

 

DRIVE AV Perception Overview

Speaker: Chongyu Wang, Product Manager

The ability to interpret a scene with 360° awareness is a critical function of an autonomous vehicle. In this session, we highlight the NVIDIA DRIVE AV Perception software stack, including an architecture overview and our latest algorithmic results.

 

Mapping and Localization with DRIVE AV

Speaker: Rambo Jacoby, Principal Product Manager, NVIDIA

The use of HD maps is a key part of ensuring a safe and comfortable journey. In this session, we’ll provide an overview of NVIDIA’s end-to-end solution for creating and maintaining crowdsourced HD maps, and how they’re used for vehicle localization.

 

A Modular Approach to AV Planning and Control

Speaker: Alexey Baranov, Senior Product Manager, NVIDIA

Planning and control executes maneuvers using input from perception, prediction, and mapping. In this session, we review the NVIDIA DRIVE AV modular approach to planning and control software and the variety of capabilities it enables.

 

Leveraging EGX and DGX for Developing AV Platforms and Supporting Connected Services

Speaker: Rambo Jacoby, Principal Product Manager, NVIDIA

In this session, we look at how NVIDIA DGX and NVIDIA EGX and are used to create the network of data centers and edge devices necessary for developing an AV platform and delivering functionality and connected services to vehicles of the future.

 

Automated Testing at Scale to Enable Deployment of Autonomous Vehicles

Speaker: Justyna Zander, Global Head of Verification and Validation, NVIDIA

In this session, we discuss the use of simulation and computing infrastructure for AV development. We also demonstrate a scalable and automated set of solutions for end-to-end testing to enable AV deployment on the road, according to safety standards.

 

NVIDIA DRIVE Sim and Omniverse

Speaker: Matt Cragun, Senior Product Manager, AV Simulation, NVIDIA

This session covers the use of simulation and computing infrastructure for AV development. We also demonstrate a scalable and automated set of solutions for end-to-end testing to enable AV deployment on the road, according to safety standards.

 

Click here to view all of the Automotive sessions and demos on NVIDIA On-Demand.

 

Here are the latest resources and news for healthcare developers from GTC 21, including demos and specialized sessions for building AI in drug discovery, medical imaging, genomics, and smart hospitals.

Here are the latest resources and news for healthcare developers from GTC 21, including demos and specialized sessions for building AI in drug discovery, medical imaging, genomics, and smart hospitals. Learn about new features now available in NVIDIA Clara Train 4.0, an application framework for medical imaging that includes pre-trained models, AI-assisted annotation, AutoML, and federated learning.

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform here.

On-Demand Sessions

Accelerating Drug Discovery with Advanced Computational Modeling
Speaker: Robert Abel, Executive Vice President, Chief Computational Scientist, Schrödinger

Learn about how integrated deployment and collaborative use of advanced computational modeling and next-generation machine learning can accelerate drug discovery from Robert Abel, Executive Vice President, Chief Computational Scientist at Schrödinger.

Using Ethernet to Stream Medical Sensor Data
Speaker: Mathias Blake, Platform Architect for Medical Devices, NVIDIA

Explore three technologies from NVIDIA that make streaming high-throughput medical sensor data over Ethernet easy and efficient—NVIDIA Networking ConnectX NICs, Rivermax SDK with GPUDirect, and Clara AGX. Learn about the capabilities of each of these technologies and explore examples of how these technologies can be leveraged by several different types of medical devices.

Automate 3D Medical Imaging Segmentation with AutoML and Neural Architecture Search
Speaker: Dong Yang, Applied Research Scientist, NVIDIA

Recently, neural architecture search (NAS) has been applied to automatically search high-performance networks for medical image segmentation. Hear from NVIDIA Applied Research Scientist, Dong Yang, to learn about AutoML and NAS techniques in the Clara Train SDK.

Deep Learning and Accelerated Computing for Single-Cell Genomic Data
Speaker: Avantika Lal, Sr. Scientist in Deep Learning and Genomics, NVIDIA

Learn about accelerating discovery of cell types in the human body with RAPIDS and AtacWorks, a deep learning toolkit to enhance ATAC-seq data and identify active regulatory DNA more accurately than existing state-of-the-art methods.

Blog

Creating Medical Imaging Models with Clara Train 4.0
Learn about the upcoming release of NVIDIA Clara Train 4.0, including infrastructure upgrades based on MONAI, expansion into digital pathology, and updates to DeepGrow for annotating organs effectively in 3D images.

Demos

Accelerating Drug Discovery with Clara Discovery’s MegaMolBart
See how NVIDIA Clara Discovery’s MegaMolBart, a transformer-based NLP model developed with AstraZeneca, trained on millions of molecules, can accelerate the drug discovery process.

NVIDIA Triton Inference Server: Generative Chemical Structures
Watch NVIDIA Triton Inference Server power deep learning models to propose thousands of molecules per second for drug design that can be further refined with physics-based simulations.

Visit NVIDIA On-Demand to explore the extensive catalog of sessions, podcasts, demos, research posters and more.

NVIDIA announced several major breakthroughs in conversational AI for building and deploying ASR, NLP and TTS applications.

At GTC 21, NVIDIA announced several major breakthroughs in conversational AI for building and deploying automatic speech recognition (ASR), natural language processing (NLP), and text-to-speech (TTS) applications. The conference also hosted over 60 engaging sessions and workshops featuring the latest tools, technologies and research in conversational AI and NLP.

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform here. 

On-Demand Sessions

Conversational AI Demystified
Speaker: Meriem Bendris, Senior Solution Architect, NVIDIA

Conversational AI technologies are becoming ubiquitous, with countless products taking advantage of automatic speech recognition, natural language understanding, and speech synthesis coming to market. Thanks to new tools and technologies, developing conversational AI applications is easier than ever, enabling a much broader range of applications, such as virtual assistants, real-time transcription, and many more. We will give an overview of the conversational AI landscape and discuss how any organization can get started developing conversational AI applications today.

Building and Deploying a Custom Conversational AI App with NVIDIA Transfer Learning Toolkit and Jarvis
Speakers: Tripti Singhal, Solutions Architect, NVIDIA; Nikhil Srihari, Technical Marketing Engineer – Deep Learning, NVIDIA; Arun Venkatesan, Product Manager, NVIDIA

Tailoring the deep learning models in a conversational AI pipeline to your enterprise needs is time-consuming. Developing a domain-specific application typically requires several cycles of re-training, fine-tuning, and deploying the model until it satisfies the requirements. NVIDIA Jarvis helps you easily build production-ready conversational AI applications and provides tools for fine-tuning on your domain. In this session, we will walk you through the process of customizing automatic speech recognition and natural language processing pipelines to build a truly customized production-ready Conversational AI application.

Megatron GPT-3 Large Model Inference with Triton and ONNX Runtime
Speaker: Denis Timonin, AI Solutions Architect, NVIDIA

Huge NLP models like Megatron-LM GPT-3, Megatron-LM Bert require tens/hundreds of gigabytes of memory to store their weights or run inference. Frequently, one GPU is not enough for such a task. One way to run inference and maximize throughput of these models is to divide them into smaller sub-parts in the pipeline-parallelism (in-depth) style and run these subparts on multiple GPUs. This method will allow us to use bigger batch size and run inference through an ensemble of subparts in a conveyor manner. TRITON inference server is an open-source inference serving software that lets teams deploy trained AI models from any framework. And this is a perfect tool that allows us to run this ensemble. In this talk, we will take Megatron LM with billions of parameters, convert it in ONNX format, and will learn how to divide it into subparts with the new tool – ONNX-GraphSurgeon. Then, we will use TRITON ensemble API and ONNX runtime background and run this model inference on an NVIDIA DGX.

Blog

Announcing Megatron for Training Trillion Parameter Models and NVIDIA Jarvis Availability
NVIDIA announced Megatron for training giant transformer-based language models and major capabilities in NVIDIA Jarvis for building state-of-the-art interactive conversational AI applications.

Demo

World-Class ASR | Real-Time Machine Translation | Controllable Text-to-Speech
Watch this demo to see Jarvis’ automatic speech recognition (ASR) accuracy when fine-tuned on medical jargon, real-time neural machine translation from English to Spanish and Japanese, and powerful controllability of neural text-to-speech.

New pre-trained models, notebooks, and sample applications for conversational AI are all available to try from the NGC catalog. You can also find tutorials for building and deploying conversational AI applications at the NVIDIA Developer Blog.

Join the NVIDIA Developer Program for all of the latest tools and resources for building with NVIDIA technologies.

NVIDIA Omniverse is an open platform built for virtual collaboration and real-time physically accurate simulation. Explore the latest resources to learn and get started with Omniverse today.

At GTC 2021 we shared a glimpse of the immense power the NVIDIA Omniverse platform can bring to the world of architecture, manufacturing, product design, robotics, gaming development, and media and entertainment. This new open, cloud-native platform makes virtual collaboration easy for creators, researchers, and engineers on photorealistic rendering projects. For a deeper understanding of the platform and its capabilities, we curated a collection of the latest resources to help you get started on Omniverse.

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform here. 

On-Demand Sessions

Introduction to RTX Technology and the Omniverse Platform
Speaker: Vincent Brisebois, NVIDIA 

We introduce NVIDIA RTX technology at a very high level (Shaders, RT Cores and Tensor Cores), then introduce the Omniverse platform. We focus on the Omniverse technology stack and give a high-level overview of its components and how developers can leverage them. Our target audience is technical artists or developers who have little-to-no exposure to the platform or creatives, who are currently trying the open beta and looking for a deeper overview of the platform and components.

Panel: Plumbing the Metaverse with USD
Speakers: Dean Takahashi, VentureBeat; F. Sebastian Grassia, Pixar; Guido Quaroni, Adobe; Ivar Dahlberg, Embark Studios; Lori Hufford, Bentley Systems; Martha Tsigkari, Foster+Partners; Mattias Wikenmalm, Volvo; Perry Nightingale, WPP; Susanna Holt, Autodesk Forge 

Learn more about the Pixar USD file format and discover its benefits to digital creators in all verticals. The session will provide a brief overview of USD, followed by a panel of distinguished industry luminaries to discuss their experience and adoption of the format and its benefits.

Introduction to USD
Speaker: Dirk Van Gelder, NVIDIA

This session introduces Universal Scene Description (USD), open-source software from Pixar Animation Studios that’s used as the core representation of the 3D world within NVIDIA’s Omniverse platform. We’ll show what USD is and how assets are constructed with it. We’ll show why this standard and open representation enables interchange with 3D applications to more easily construct virtual worlds. We’ll include hands-on demo examples that illustrate USD scene construction in Python that you can try with a web browser at home, and show how to interact with USD files within Omniverse.

Making a Connector for Omniverse
Speaker: Brian Harrison, NVIDIA

Learn how to connect with the Omniverse platform and be able to send data to it, establish a live sync session, as well as a USD 101 overview to get you started. This is primarily targeted at developers who want to learn how to create a plugin for an application and push data to Omniverse. However, the topic also applies to those seeking to write command line or scripted converters, as well as connecting Omniverse and a data management system. We’ll start with an overview of USD structuring and some of the basics in geometry and materials. A tour of the Sample SDK, which is available on the Omniverse Launcher, will be discussed in detail. From there, we’ll look at how we implemented a Connector for an application, like SketchUp, to discuss design considerations and material mapping and handling.

For more on-demand content, check out the collection of developer sessions from GTC 2021 to learn how industry experts and our very own Omniverse engineers use and build on top of the platform.

Hands-on Demo

Marbles RTX Playable Sample Now Available in NVIDIA Omniverse
Download and discover the iconic RTX demo, and explore real-time physics, dynamic lights and rich, physically based materials in the virtual collaboration platform.

For additional resources, check out the Omniverse Forums, Discord, Twitch, and YouTube channels.

Get the latest resources and news about the NVIDIA technologies that are accelerating the latest innovations in HPC from industry leaders and developers.

Get the latest resources and news about the NVIDIA technologies that are accelerating the latest innovations in HPC from industry leaders and developers. Explore sessions and demos across a variety of HPC topics, ranging from weather forecasting and energy exploration to computational chemistry and molecular dynamics.

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform here. 

 

On-Demand Sessions

How GPU Computing Works
Speaker: Stephen Jones, CUDA Architect, NVIDIA

Get an introduction to GPU computing by the lead architect of CUDA. We’ll walk through the internals of how the GPU works and why CUDA is the way that it is, and connect the dots between physical hardware and parallel computing.

A Deep Dive into the Latest HPC Software
Speaker: Tim Costa, NVIDIA

Take a deep dive into the latest developments in NVIDIA software for HPC applications, including a comprehensive look at what’s new in programming models, compilers, libraries, and tools. We’ll cover topics of interest to HPC developers, targeting traditional HPC modeling and simulation, HPC+AI, scientific visualization, and high-performance data analytics.

Introducing Developer Tools for Arm and NVIDIA Systems
Speaker: David Owens, Product Director, Infrastructure Software, Arm

Explore the role of key tools and toolchains on Arm servers, from Arm, NVIDIA, and elsewhere — and show how each tool fits in the end-to-end journey to production science and simulation.

 

SDK

Accelerate Quantum Information Science with NVIDIA cuQuantum SDK
NVIDIA cuQuantum is an SDK of optimized libraries and tools for accelerating quantum computing workflows. Learn more about how NVIDIA cuQuantum speeds up quantum circuit simulations by orders of magnitude. 

 

Blog

NVIDIA Arm HPC Developer Kit for HPC, AI, and Scientific Computing Applications
The NVIDIA Arm HPC Developer Kit is an integrated hardware and software platform for creating, evaluating, and benchmarking HPC, AI, and scientific computing applications on a GPU- and CPU-accelerated computing system.

NVIDIA Nsight Visual Studio Code Edition: New Addition to the Nsight Developer Tools Suite
Read about Nsight Visual Studio Code Edition, an application for platforms that bring CUDA development for GPUs into Microsoft Visual Studio Code, including building and debugging GPU kernels and native CPU code.

 

Click here to view all of the HPC sessions and demos on NVIDIA On-Demand.