Join us for a series of expert-led talks where we’ll explore a full-stack approach to AI inference and how to optimize the AI-inferencing workflow to lower cloud expenses and boost user adoption.
]]>A new model generates 3D reconstructions using neural networks, turns 2D video clips into detailed 3D structures — generating lifelike virtual replicas of buildings, sculptures and other real-world objects.
]]>A dozen tools and programs—including new releases NeuralVDB and Kaolin Wisp—make 3D content creation easy and fast for millions of designers and creators.
]]>The NVIDIA, Facebook, and TensorFlow recommender teams will be hosting a summit with live Q&A to dive into best practices and insights on how to develop and optimize deep learning recommender systems. Develop and Optimize Deep Learning Recommender Systems Thursday, July 29 at 10 a.m. PT By joining this Deep Learning Recommender Summit, you will hear from fellow ML engineers and data…
]]>‘Meet the Researcher’ is a series in which we spotlight different researchers in academia who use NVIDIA technologies to accelerate their work. This month we spotlight Dr. Emanuel Gull, Associate Professor of Physics at University of Michigan, whose research focuses on the development of theoretical and computational methods for strongly correlated quantum systems.
]]>The NVIDIA Deep Learning Institute (DLI) extended its popular public workshop summer series through September 2021. These workshops are conducted live in a virtual classroom environment with expert guidance from NVIDIA-certified instructors. Participants have access to fully configured GPU-accelerated servers in the cloud to perform hands-on exercises. To register, visit our website.
]]>‘Meet the Researcher’ is a series in which we spotlight researchers in academia who use NVIDIA technologies to accelerate their work. This month we spotlight Antti Honkela, Associate Professor in Computer Science at University of Helsinki in Finland. Honkela is the Coordinating Professor of the Research Program in Privacy-preserving and Secure AI at the Finnish Center for Artificial…
]]>At GTC 2021, we shared a glimpse of the immense power that 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…
]]>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.
]]>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…
]]>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.
]]>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…
]]>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…
]]>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…
]]>AI can help banking firms better detect and prevent payment fraud and improve processes for anti-money laundering (AML) and know-your-customer (KYC) systems. With NVIDIA GPU-accelerated machine learning and deep learning platforms, data scientists can deliver results in days, instead of the weeks more traditional methods require. Learn how companies like PayPal and Datatonic are preventing fraud.
]]>Below are the latest developer resources and news of AI-powered video analytics from GTC 21, including top featured talks, tutorials and success stories of NVIDIA pre-trained models, Transfer Learning Toolkit, and DeepStream SDK. Learn about the latest features of these developer tools and how other top AI teams leverage these tools to fast track their AI development journey.
]]>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…
]]>Researchers, developers, and engineers worldwide are gathering virtually this year for the annual Conference on Computer Vision and Pattern Recognition (CVPR) from June 19th to June 25th. Throughout the week, NVIDIA Research will present their recent computer vision-related projects via presentations and interactive Q&As. The nearly 30 accepted papers from NVIDIA range from simulating…
]]>Training for Success Continuing its popular public workshop series, the NVIDIA Deep Learning Institute (DLI) released the schedule for June, July, and August of 2021. These workshops are conducted live in a virtual classroom environment with expert guidance from NVIDIA-certified instructors. Participants have access to fully configured GPU-accelerated servers in the cloud to perform hands-on…
]]>With over 1600 sessions on the latest in AI, data center, accelerated computing, healthcare, intelligent networking, game development, and more – there is something for everyone…
]]>Technical artists, developers and content creators can now take 3D storytelling to the next level: NVIDIA Omniverse Machinima is now available in open beta. Omniverse Machinima offers a suite of tools and extensions that enable users to render realistic graphics and animation using scenes and characters from games. The app includes premade assets from NVIDIA and games such as Squad…
]]>‘Meet the Researcher’ is a series in which we spotlight different researchers in academia who use NVIDIA technologies to accelerate their work. This month we spotlight Marco Aldinucci, Full Professor at the University of Torino, Italy, whose research focuses on parallel programming models, language, and tools. Since March 2021, Marco Aldinucci has been the Director of the brand new…
]]>NVIDIA CUDA-X AI is a deep learning software stack for researchers and software developers to build high performance GPU-accelerated applications for conversational AI, recommendation systems and computer vision. Learn what’s new in the latest releases of the CUDA-X AI tools and libraries. For more information on NVIDIA’s developer tools, join live webinars, training, and Connect with the…
]]>We are pleased to announce that Ray Tracing Gems II, the follow up to 2019’s Ray Tracing Gems, will be available for digital download and print on August 4th, 2021. Today, as nearly every hardware vendor and 3D software platform embraces ray tracing, it is clear that real-time ray tracing is here to stay. Ray Tracing Gems II brings the community of rendering experts back together again to…
]]>NVIDIA Omniverse Audio2Face will be available later this week in open beta. With the Audio2Face app, Omniverse users can generate AI-driven facial animation from audio sources. The demand for digital humans is increasing across industries, from game development and visual effects to conversational AI and healthcare. But the animation process is tedious, manual and complex…
]]>3D deep learning researchers can enter NVIDIA Omniverse and simplify their workflows with the Omniverse Kaolin app, now available in open beta. The Omniverse platform provides researchers, developers, and engineers with the ability to virtually collaborate and work between different software applications. Omniverse Kaolin is an interactive application that acts as a companion to the NVIDIA…
]]>OptiX 7.3 brings temporal denoising and improvements to OptiX Curves primitives and new features to the OptiX Demand Loading library NVIDIA Optix Ray Tracing Engine is a scalable and seamless framework that offers optimal ray tracing performance on GPUs. In this spring’s update to the OptiX SDK, developers will be able to leverage temporal denoising, faster curve intersectors…
]]>Today, NVIDIA is announcing the availability of the HPC SDK version 21.3. This software can be downloaded now free of charge. Download Now Pull Container from NGC What’s New See the HPC SDK Release Notes for more information. About the NVIDIA HPC SDK The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools enabling developers to program the…
]]>NVIDIA announced the NVIDIA Arm HPC Developer Kit, an integrated hardware-software platform for creating, evaluating, and benchmarking HPC, AI and scientific computing applications. Developers can apply today for the early interest program. This DevKit targets heterogeneous GPU/CPU system development, and includes an Arm CPU, an NVIDIA A100 Tensor Core GPU, and the NVIDIA HPC SDK suite of…
]]>Today we announced the latest versions of Nsight Systems 2021.2 and Nsight Compute 2021.1 – now available with new features for GPU profiling and performance optimization. We also announced the Nsight Visual Studio Code Edition, NVIDIA’s new addition to the series of world class developer tools for CUDA programming and debugging. Nsight Systems 2021.2 Nsight Systems 2021.2…
]]>Announcing NVIDIA Nsight Visual Studio Code Edition, an application development environment for heterogeneous platforms which brings CUDA development for GPUs into Microsoft Visual Studio Code. NVIDIA Nsight Visual Studio Code Edition allows you to build and debug GPU kernels and native CPU code, as well as inspect the state of the GPU and memory. It includes IntelliSense code…
]]>Today NVIDIA released the NVIDIA?DOCA SDK, a Data Center-on-a-Chip Architecture that provides developers with an easy way to program the BlueField DPU. Modern data centers are software-defined, agile, and built to serve highly distributed workloads from cloud to edge. But the traditional software defined data center approach imposes a significant performance tax that can easily consume 30%
]]>Reallusion released Character Creator 3 Connector for NVIDIA Omniverse, the open platform for 3D collaboration and simulation. The new Omniverse Connector adds a complete digital human creation pipeline to Omniverse Create and Omniverse Machinima apps. With Character Creator 3 and Omniverse, individuals or design teams can create and deploy digital characters as task performers…
]]>NVIDIA CUDA 11.3 NVIDIA has announced our newest release of the CUDA toolkit and development environment, consisting of GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to build and deploy your application on major architectures including NVIDIA Ampere, x86, Arm server processors, and POWER. CUDA 11.3 features are focused on enhancing…
]]>Language models are essential for modern NLP. Building a new language model from scratch can be beneficial for many domains. NVIDIA Inception member Deepset bridges the gap between NLP research and industry – their core product, Haystack, is an open-source framework that enables developers to utilize the latest NLP models for semantic search and question answering at scale. Haystack Hub…
]]>Interested in designing, testing, or training your robot in a virtual environment? This can all be done with Issac Sim on the NVIDIA Omniverse simulation platform. The ability to work with robots in a virtual world is one of the key enabling technologies that will drive a robotics revolution. Here are are some of the key aspects needed to train robots in simulation, as well as some of the…
]]>This year at GTC, you will join speakers and panelists considered to be pioneers of AI, technologists, and creators who are re-imagining what is possible in higher education and research. By registering for this free event you’ll get access to these top sessions, and more: Visit the GTC website to view more recommended…
]]>This year at GTC you will join speakers and panelists considered to be the pioneers of AI who are transforming AI possibilities in government and beyond. By registering for this free event you’ll get access to our top sessions below. Visit the GTC website to view more recommended Public Sector sessions and to register for the…
]]>NVIDIA CUDA-X AI are deep learning libraries for researchers and software developers to build high performance GPU-accelerated applications for conversational AI, recommendation systems and computer vision. Learn what’s new in the latest releases of CUDA-X AI libraries. Refer to each package’s release notes in documentation for additional information. NVIDIA Riva Open Beta…
]]>NVIDIA GTC is returning with a special focus on autonomous vehicles, including talks from Audi Board Member Hildegard Wortmann, Zoox CTO Jesse Levinson, University of Toronto Professor Raquel Urtasun, and Cruise SVP of Engineering Mo ElShenawy. GTC is free to attend – you and your team can register here. This free five-day digital conference kicks off April 12 with NVIDIA CEO Jensen Huang’s…
]]>This year at GTC we have a new track for Game Developers where you can attend free sessions, covering the latest in ray tracing, optimizing game performance, and content creation in NVIDIA Omniverse. Check out our top sessions below for those working in the gaming industry: Visit the GTC website to view the entire Game…
]]>NVIDIA GTC starts on April 12th with more than 1,400 sessions including the latest deep learning technologies in conversational AI, recommender systems, computer vision, and video streaming. Here’s a preview of some of the top AI/DL sessions at GTC. Register today for GTC or explore more deep learning sessions to learn about the latest breakthroughs in AI…
]]>NVIDIA GTC is starting on April 12 with a special focus this year on breakthroughs in data center and cloud networking, including optimized modern workloads and programmable data center infrastructure. Join us to explore advanced technologies and strategies for maximizing your data center networking performance and improve ROI. Visit the GTC website to…
]]>From powering the world’s largest supercomputers and cloud data centers, to edge devices on factory floors and city streets, the NVIDIA accelerated computing platform is used to help solve the world’s most challenging computational problems. NVIDIA and Arm are working together to open new opportunities for partners, users, and developers, driving a new wave of computing around the world.
]]>This year at GTC we have several sessions for professional content creators looking to take advantage of the latest NVIDIA technology to enable the creation of beautiful worlds quicker and easier than ever before. Find out how to add life-like realism to your projects with new ray tracing features and faster real-time volumetric rendering and simulation. Also, learn how to collaborate with…
]]>Find out how to make our important physical spaces smarter using the most widely deployed IoT devices – video cameras. NVIDIA GTC will be hosted on April 12-16. With over 1,400 breakthrough sessions for all technical levels, those registered have access to topic experts, networking events, and a front-row seat to NVIDIA CEO Jensen Huang’s keynote. There’s a deep lineup of Intelligent Video…
]]>From Jetson 101 fundamental walk-throughs, to technical deep dive tutorials, GTC is hosting over 1,400 sessions for all technical abilities and applications. Free registration provides access to topic experts, meet-and-greet networking events, and a keynote loaded with breakthrough announcements from NVIDIA CEO Jensen Huang. If you’re looking for a curated list of Edge AI sessions at GTC, we’…
]]>Industrial-Scale AI content is at GTC. From April 12-16, 1,400 live and on-demand sessions will be at your fingertips. Many topics will be covered including solutions in computational fluid dynamics, predictive maintenance, inspection, and factory logistics across Industrial Manufacturing, Aerospace, Oil and Gas, Electronic Design Automation (EDA), Engineering Simulation (CAE), and more.
]]>NVIDIA technology is powering some of the most stunning graphics and visuals you’ve ever seen, and now is your chance to learn exactly how developers and other professionals are driving innovation in graphics at the GPU Technology Conference, starting April 12. Register for free and check out GTC sessions that dive into the latest technologies for graphics and simulation.
]]>Dask is an accessible and powerful solution for natively scaling Python analytics. Using familiar interfaces, it allows data scientists familiar with PyData tools to scale big data workloads easily. Dask is such a powerful tool that we have adopted it throughout a variety of projects at NVIDIA. When paired with RAPIDS, data practitioners can distribute big data workloads across massive NVIDIA GPU…
]]>Conversational AI, the ability for machines to understand and respond to human queries, is being widely adopted across industries as enterprises see the value of this technology through solutions like chatbots and virtual assistants to better support their customers while lowering the cost of customer service. You can now build your own AI-powered Q&A service with the step-by-step…
]]>The NVIDIA Deep Learning Institute is offering nine instructor-led workshops at this year’s GTC from April 12-16 on a wide range of advanced software development topics in AI, accelerated computing, and data science. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud. Upon completion, participants earn an NVIDIA DLI certificate to…
]]>From weather forecasting and energy exploration, to computational chemistry and molecular dynamics, NVIDIA compute and networking technologies are optimizing nearly 2,000 applications across a broad-range of scientific domains and industries. By leveraging GPU-powered parallel processing, users can accelerate advanced, large-scale applications efficiently and reliably, paving the way to scientific…
]]>‘Meet the Researcher’ is a monthly series in which we spotlight researchers who are using GPUs to accelerate their work. This month we spotlight Lokman Abbas Turki, lecturer and researcher at Sorbonne University in Paris, France. What area of research is your lab focused on? If I had to sum it up in a few words, I would say computer science probability. More precisely…
]]>Thrust 1.12.0 is a major release providing bug fixes and performance enhancements. It includes a new thrust::universal_vector which holds data that is accessible from both host and device. This enables the use of CUDA unified memory with Thrust. Also added are new asynchronous versions of thrust::async:exclusive_scan and inclusive_scan algorithms. The synchronous versions of these have been…
]]>The recent webinar shares how NVIDIA CloudXR can be used to deliver limitless virtual and augmented reality over networks (including 5G) to low cost, low-powered headsets and devices — while maintaining the high-quality experience traditionally reserved for high-end headsets that are plugged into high-performance computers. At the end of this webinar, we hosted a Q&A session with our guest…
]]>The NVIDIA NGC catalog is a hub for GPU-optimized deep learning, machine learning and high-performance computing (HPC) applications. With highly performant software containers, pre-trained models, industry specific SDKs and Helm Charts, the content available on the catalog helps you simplify and accelerate your end-to-end workflows. The NVIDIA NGC team works closely with our internal and…
]]>Relevant recommenders have the potential to impact millions of human decisions each day and build trust. Today, data scientists and machine learning engineers responsible for building relevant and impactful recommenders face challenges including slow pipelines, large embedding tables exceeding memory, and maintaining high throughput while maintaining low latency. These challenges are not…
]]>The NVIDIA Omniverse open beta expands to linux by releasing a linux-based launcher and applications. The new launcher provides the latest Omniverse news and updates, as well as the exchange where users can install and update applications and components like Omniverse Create, Kit, Cache, Drive and the Autodesk Maya Connector. The launcher also provides a quick way of installing the…
]]>Hundreds of women speakers will present research and insights across industries at the upcoming GPU Technology Conference.
]]>NVIDIA AI Enterprise is?a?suite of?AI software,?certified to run on VMware vSphere 7 Update 2?with?NVIDIA-Certified?volume servers. It includes key enabling technologies?and software from NVIDIA for?rapid deployment, management and scaling of AI workloads?in the virtualized data center running on VMware vSphere.?The NVIDIA AI Enterprise suite also enables IT Administrators, Data Scientists…
]]>Training AI models is an extremely time-consuming process. Without proper insight into a feasible alternative to time-consuming development and migration of model training to exploit the power of large, distributed clusters, training projects remain considerably long lasting. To address these issues, Samsung SDS developed the Brightics AI Accelerator. The Kubernetes-based…
]]>NVIDIA recently launched the Jetson Nano 2GB Developer Kit Grant Program which offers limited quantities of Jetson Developer Kits to professors, educators and trainers across the globe. Ideal for hands-on teaching, the Jetson Nano 2GB Developer Kit is the perfect tool for introducing AI and robotics to all kinds of learners, from high school students to post-graduates. We provide all of the…
]]>Today, NVIDIA released the Riva 1.0 Beta which includes an end-to-end workflow for building and deploying real-time conversational AI apps, such as transcription, virtual assistants and chatbots. Riva is an accelerated SDK for multimodal conversational AI services that delivers real-time performance on NVIDIA GPUs. This release of Riva includes new pretrained models for conversation AI and…
]]>For the first time ever, the NVIDIA Deep Learning Institute (DLI) is making its popular instructor-led workshops available to the general public. With the launch of public workshops this week, enrollment will be open to individual developers, data scientists, researchers, and students. NVIDIA is increasing accessibility and the number of courses available to participants around the world.
]]>Intelligent vision and speech-enabled services have now become mainstream, impacting almost every aspect of our everyday life. AI-enabled video and audio analytics are enhancing applications from consumer products to enterprise services. Smart speakers at home. Smart kiosks or chatbots in retail stores. Interactive robots on factory floors. Intelligent patient monitoring systems at hospitals.
]]>‘Meet the Researcher’ is a monthly series in which we spotlight different researchers in academia who are using NVIDIA technologies to accelerate their work. This month, we spotlight Lorenzo Baraldi, Assistant Professor at the University of Modena and Reggio Emilia in Italy. Before working as a professor, Baraldi was a research intern at Facebook AI Research. He serves as an Associate Editor…
]]>NVIDIA recently released NVIDIA Clara Parabricks Pipelines version 3.5, adding a set of new features to the software suite that accelerates end-to-end genome sequencing analysis. With the release of v3.5, Clara Parabricks Pipelines now provides acceleration to Google’s DeepVariant 1.0, in addition to a suite of existing DNA and RNA tools. The addition of DeepVariant to Parabricks Pipelines…
]]>In this webinar, you will learn how to train your own gesture recognition deep learning pipeline. We’ll start with a pre-trained detection model, repurpose it for hand detection, and use it together with the purpose-built gesture recognition model. NVIDIA pre-trained deep learning models and the Transfer Learning Toolkit (TLT) give you a rapid path to building your next AI project.
]]>The recent webinar shares how to use Unity’s High Definition Render Pipeline (HDRP) wizard to enable ray-tracing in your Unity project with just a few clicks. At the end of the webinar, we hosted a Q&A session with our guest speakers from Unity Pierre Yves Donzallaz and Anis Benyoub and below are the top 11 questions asked. Q: What are the specifications of the computer used for the webinar?
]]>NVIDIA CUDA-X AI are deep learning libraries for researchers and software developers to build high performance GPU-accelerated applications for conversational AI, recommendation systems and computer vision. CUDA-X AI libraries deliver world leading performance for both training and inference across industry benchmarks such as MLPerf. Learn what’s new in the latest releases of CUDA-X AI…
]]>NVIDIA Nsight Systems 2021.1 is now available for download! Nsight Systems is a system-wide performance analysis tool, designed to help developers tune and scale software across CPUs and GPUs. Find out more at: http://www.open-lab.net/nsight-systems This release includes support and performance improvements for the latest top ray tracing game titles on DirectX and Vulkan.
]]>Many people believed delivering extended reality (XR) experiences from cloud computing systems was impossible until now. Join our webinar to learn how NVIDIA CloudXR can be used to deliver limitless virtual and augmented reality over networks (including 5G) to low cost, low-powered headsets and devices—while maintaining the high-quality experience traditionally reserved for high-end headsets that…
]]>NVIDIA Inception partner DarwinAI developed a new AI model to detect COVID-19 in CT scans with 96% accuracy across a wide and diverse number of scenarios. The model, COVID-Net CT-2, was built using a number of large and diverse datasets created over several months with the University of Waterloo and is publicly available on GitHub. Last year, the startup launched an open source neural network…
]]>In a new paper published in Nature Communications, researchers at NVIDIA and the National Institutes of Health (NIH) demonstrate how they developed AI models (publicly available on NVIDIA NGC) to help researchers study COVID-19 in chest CT scans in an effort to develop new tools to better understand, measure and detect infections. Chest CT is emerging as a valuable diagnostic tool for clinical…
]]>Launched today, Google Cloud Anthos is an application modernization platform powered by Kubernetes. For customers looking for a hybrid architecture and dealing with high on-prem demand, Anthos is designed to combine the ease of getting started in the cloud with the security of an on-premises solution. Google Cloud Anthos allows for a consistent development and operational experience across…
]]>NVIDIA announced the NVIDIA Ampere architecture in May and disclosed the new NVIDIA A100 GPU was supported in an RC posting of CUDA Toolkit and Nsight Developer Tools. Today, NVIDIA announces the General Availability (GA) of CUDA 11, Nsight Systems 2020.3 and Nsight Compute 2020.1 for members of the NVIDIA Developer Program. The new releases introduce support for the many new features and…
]]>Building on the public alpha release announced at GTC 2020 in April, MONAI (Medical Open Network for AI) is an open source and community-supported PyTorch-based framework for healthcare imaging — providing domain-optimized foundational capabilities for developing deep learning training workflows. MONAI v0.2 brings new capabilities, examples, and research implementations for medical imaging…
]]>NVIDIA PhysicsNeMo was previously known as NVIDIA SimNet. A new demo introduces the recently announced NVIDIA PhysicsNeMo Toolkit, the first multiphysics (CFD and Heat Transfer) analysis using physics-informed neural networks (PINNs). Simulations form an integral part of product design to reduce significant iterations in physical prototyping and testing to improve quality…
]]>Blender Cycles, an open-source production renderer, is now super-charged with the latest generation of NVIDIA RTX GPUs. Blender’s RTX support with the latest version of the Cycles renderer provides real-time rendering so users can create high-quality images and boost performance up to 14x faster than CPU-based rendering and 30% faster than with RTX off. Furthering the rendering speed…
]]>CUDA 10.1 Update 2 is now available for download. This version is a compatible update to CUDA 10.1 and includes updates to libraries, developer tools and bug fixes. Features: Additionally, there is a simultaneous web release of Nsight Systems 2019.4. It offers additional features not yet available in the version included in the CUDA Toolkit. 2019.4 introduces new data sources…
]]>The Clara Genomics SDK has been upgraded with high performance analysis algorithms for long read sequencing and early access to deep learning-based processing of short read ATAC sequencing. Features: GPU Accelerated Racon The Racon consensus module for genome assembly enabled GPU- accelerated polishing of long reads in v1.4 with the integration of the cudaPOA module in…
]]>With the immense amounts of data required to train neural networks effectively, it’s critical to know how to leverage the power of multiple GPUs. The NVIDIA Deep Learning Institute (DLI) launched a new online course today in collaboration with Uber called Deep Learning at Scale with Horovod. The course teaches you how to scale deep learning training to multiple GPUs using Horovod…
]]>Driving is a part of everyday life. We know exactly how cars handle, so we are highly sensitive to the shortcomings of vehicle simulations in video games. The engineers behind NVIDIA PhysX 4.1 sought to address this by delivering a best-in-class vehicle simulation. They wound up building a solution that is so realistic, it’s now used as part of the foundation of NVIDIA’s self-driving car…
]]>If you like playing or watching team sports, you’ll probably find this AI’s latest creation fascinating. Developers from AKQA, a global innovation agency most known for working with some of the hottest brands and public figures, trained a recurrent neural network and a deep convolutional generative adversarial network on over 400 sports with the aim of creating a new and original sport.
]]>We recently announced two exciting upcoming webinars about the new Jetson Nano. Each presentation will be followed by a live Q&A session where you can ask questions in real-time with the NVIDIA Jetson team. We look forward to you joining us! Hello AI World – Meet Jetson Nano Date: Thursday, May 2, 2019 Time: 10:00 – 11:00 a.m. PT Host: Dustin Franklin, Jetson Developer Evangelist…
]]>Researchers from Google, Princeton, Columbia and MIT developed a picking robot using physics and deep learning that can accurately toss random objects into bins two times faster than previous systems. “This robot, like many others, is designed to tolerate the dynamics of the unstructured world,” mentioned Andy Zeng, Student Researcher of Robotics at Google. “But instead of just tolerating…
]]>Earlier this week, Amazon announced new AWS Deep Learning AMIs tuned for high-performance training on Amazon EC2 instances powered by NVIDIA Tensor Core GPUs. The Deep Learning AMI on Ubuntu, Amazon Linux, and Amazon Linux 2 now come with an optimized build of TensorFlow 1.13.1 and CUDA 10. GPU instances come with an optimized build of TensorFlow 1.13 that is configured with CUDA 10 and…
]]>So you think you can dance? Earlier this month, the Dallas Mavericks of the NBA showed off a new deep learning in-game entertainment application that synthesized the dance moves of one of their star players on the team’s jumbotron. The Texas-based startup Xpire AI who was co-founded by the team’s owner Mark Cuban, based their new technology on work from NVIDIA Research called pix2pixHD…
]]>NVIDIA’s GPU Technology Conference (GTC) taking place March 17-21 in San Jose, Calif. is among America’s top conferences for women to attend to further their careers in AI, according to Forbes. The article, which ranks GTC first on the list, mentions technology conferences are a bright spot in boosting diversity and inclusion for women in tech. It states, “event organizers and technology…
]]>NVIDIA today announced the software release of DeepStream SDK 3.0 for Tesla GPUs. Developers can now focus on building core deep learning networks rather than designing end-to-end applications from scratch given its modular framework and hardware-accelerated building blocks. The SDK’s latest features make it easy for you to create scalable solutions for the most complex Intelligent Video…
]]>NVIDIA announced the latest version of the TensorRT’s high-performance deep learning inference optimizer and runtime. Today we are releasing the general availability TensorRT. TensorRT 5 supports the new Turing architecture, provides new optimizations, and INT8 APIs achieving up to 40x faster inference over CPU-only platforms. This latest version also dramatically speeds up inference of…
]]>In the age of Exascale, scientists are striving to use the latest generation of supercomputers to do more science faster. At the same time many researchers find themselves trapped in new complex technologies and architectures that are not always easy to grasp — they need tools that can help them spend less time on programming for new machines, and more time on science. OpenACC is a directive…
]]>Earlier this year, we talked about performance breakthroughs enabled by two new technologies we developed. Related to data augmentation and tensor parameter interleaving, these technologies enabled a single Tesla V100 GPU to do a ResNet-50 training run in just under 24 hours (1,350 images/second). We also discussed how these same technologies enabled a single DGX-1 server node to train ResNet in…
]]>Current style transfer models are large and require substantial computing resources to achieve the desired results. To accelerate the work and make style transfer a tool that is more widely adopted, researchers from NVIDIA and the University of California, Merced developed a new deep learning-based algorithm for style transfer that is effective and efficient. The research, led by Sifei Liu and…
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