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  1. Editor’s note: This post is part of our weekly In the NVIDIA Studio series, which celebrates featured artists, offers creative tips and tricks, and demonstrates how NVIDIA Studio technology improves creative workflows. We’re also deep diving on new GeForce RTX 40 Series GPU features, technologies and resources, and how they dramatically accelerate content creation.

    The GeForce RTX 4060 Ti 8GB GPU — part of the GeForce RTX 4060 family announced last week — is now available, starting at $399, from top add-in card providers including ASUS, Colorful, Galax, GIGABYTE, INNO3D, MSI, Palit, PNY and ZOTAC, as well as from system integrators and builders worldwide.

    studio-itns-daniel-barnes-wk57-rtx-4060tGeForce RTX 4060 Ti 8GB is available now from a range of providers.

    GeForce RTX 40 Series GPUs come backed by NVIDIA Studio technologies, including hardware acceleration for 3D, video and AI workflows; optimizations for RTX hardware in over 110 of the most popular creative apps; and exclusive Studio apps like Omniverse, Broadcast and Canvas.

    Plus, enhancements for NVIDIA Studio-powered creator apps keep coming in. MAGIX VEGAS Pro software for video editing is receiving a major AI overhaul that will boost performance for all GeForce RTX users.

    And prepare to be inspired by U.K.-based livestreamer Warwick, equal parts insightful and inspirational, as they share their AI-based workflow powered by a GeForce RTX GPU and the NVIDIA Broadcast app, this week In the NVIDIA Studio.

    At the Microsoft Build conference today NVIDIA unveiled new tools for developers that will make it easier and faster to train and deploy advanced AI on Windows 11 PCs with RTX GPUs.

    In addition, the Studio team wants to see how creators #SetTheScene, whether for an uncharted virtual world or a small interior diorama of a room.

    The latest community challenge is here! 🖼🙌

    Show us your environment art made with #NVIDIAOmniverse like @TanjaLanggner who used #OpenUSD, @UnrealEngine, #Megascans, and USD Composer to #SetTheScene. pic.twitter.com/AguY1GDeUV

    — NVIDIA Omniverse (@nvidiaomniverse) May 11, 2023

    Enter the #SetTheScene Studio community challenge. Post original environment art on Facebook, Twitter or Instagram, and use the hashtag #SetTheScene for a chance to be featured on the @NVIDIAStudio or @NVIDIAOmniverse social channels.

    VEGAS Pro Gets an AI Assist Powered by RTX

    NVIDIA Studio collaborated with MAGIX VEGAS Pro to accelerate AI model performance on Windows PCs with extraordinary results.

    VEGAS Pro 20 update 3, released this month, increases the speed of AI effects — such as style transfer, AI upscaling and colorization — with NVIDIA RTX GPUs.

    nvidia-studio-itns-wk58-rtx-4090-perf-chShorter times are better. Tested on GeForce RTX 4090 GPU, Intel Core i9-12900K with UHD 770.

    Style transfer, for example, uses AI to instantly bring to pieces the style of famous artists such as Picasso or van Gogh with a staggering 219% performance increase over the previous version.

    Warwick’s World

    As this week’s featured In the NVIDIA Studio artist would say, “Welcome to the channnnnnnel!” Warwick is a U.K.-based content streamer who enjoys coffee, Daft Punk, tabletop role-playing games and cats. Alongside their immense talent and wildly entertaining persona lies an extraordinary superpower: empathy.

     

    Warwick, like the rest of the world, had to find new ways to connect with people during the pandemic. They decided to pursue streaming as a way to build a community. Their vision was to create a channel that provides laughter and joy, escapism during stressful times and a safe haven for love and expression.

    “It’s okay not to be okay,” stressed Warwick. “I’ve lived a lot of my life being told I couldn’t feel a certain way, show emotion or let things get me down. I was told that those were weaknesses that I needed to fight, when in reality they’re our truest strengths: being true to ourselves, feeling and being honest with our emotions.”

    Warwick finds inspiration in making a positive contribution to other people’s lives. The thousands of subs speak for themselves.

     

    But there are always ways to improve the quality of streams — plus, working and streaming full time can be challenging, as “it can be tough to get all your ideas to completion,” Warwick said.

    For maximum efficiency, Warwick deploys their GeForce RTX 3080 GPU, taking advantage of the seventh-generation NVIDIA encoder (NVENC) to independently encode video, which frees up the graphics card to focus on livestreaming.

    “NVIDIA is highly regarded in content-creation circles. Using OBS, Adobe Photoshop and Premiere Pro is made better by GeForce GPUs!” — Warwick

    “I honestly can’t get enough of it!” said the streamer. “Being able to stream with OBS Studio software using NVENC lets me play the games I want at the quality I want, with other programs running to offer quality content to my community.”

    Warwick has also experimented with the NVIDIA Broadcast app, which magically transforms dorms, home offices and more into home studios. They said the Eye Contact effect had “near-magical” results.

    “Whenever I need to do ad reads, I find it incredible how well Eye Contact works, considering it’s in beta!” said Warwick. “I love the other Broadcast features that are offered for content creators and beyond.”

    Warwick will be a panelist on an event hosted by Top Tier Queer (TTQ), an initiative that celebrates queer advocates in the creator space.

    Sponsored by NVIDIA Studio and organized by In the NVIDIA Studio artist WATCHOLLIE, the TTQ event in June will serve as an avenue for queer visibility and advocacy, as well as an opportunity to award one participant with prizes, including a GeForce RTX 3090 GPU, to help amplify their voice even further. Apply for the TTQ initiative now.

    Meet a Judge for Top Tier Queer!!

    ❓What does TTQ mean to you❓

    “It means so much! To be a judge of this competition that aims to uplift and showcase underated and underappreciated LGBTQ+ voices and celebrate them is truly an honour!” @WarwickZero pic.twitter.com/XT9PVCPSy1

    — TopTierQueer (@TopTierQueer_) April 11, 2023

    Streaming is deeply personal for Warwick. “In my streams and everything I create, I aim to inspire others to know their feelings are valid,” they said. “And because of that, I feel the community that I have really appreciates me and the space that I give them.”

    studio-itns-warwick-wk58-featured-setup-Livestreamer Warwick.

    Subscribe to Warwick’s Twitch channel for more content.

    Follow NVIDIA Studio on Instagram, Twitter and Facebook. Access tutorials on the Studio YouTube channel and get updates directly in your inbox by subscribing to the Studio newsletter.

    View the full article

  2. Hello greg976,

    Welcome to UnityHQ Nolfseries Community. Please feel free to browse around and get to know the others. If you have any questions please don't hesitate to ask.

    greg976 joined on the 05/23/2023.

    View Member

  3. Generative AI — in the form of large language model (LLM) applications like ChatGPT, image generators such as Stable Diffusion and Adobe Firefly, and game rendering techniques like NVIDIA DLSS 3 Frame Generation — is rapidly ushering in a new era of computing for productivity, content creation, gaming and more.

    At the Microsoft Build developer conference, NVIDIA and Microsoft today showcased a suite of advancements in Windows 11 PCs and workstations with NVIDIA RTX GPUs to meet the demands of generative AI.

    More than 400 Windows apps and games already employ AI technology, accelerated by dedicated processors on RTX GPUs called Tensor Cores. Today’s announcements, which include tools to develop AI on Windows PCs, frameworks to optimize and deploy AI, and driver performance and efficiency improvements, will empower developers to build the next generation of Windows apps with generative AI at their core.

    “AI will be the single largest driver of innovation for Windows customers in the coming years,” said Pavan Davuluri, corporate vice president of Windows silicon and system integration at Microsoft. “By working in concert with NVIDIA on hardware and software optimizations, we’re equipping developers with a transformative, high-performance, easy-to-deploy experience.”

    Develop Models With Windows Subsystem for Linux

    AI development has traditionally taken place on Linux, requiring developers to either dual-boot their systems or use multiple PCs to work in their AI development OS while still accessing the breadth and depth of the Windows ecosystem.

    Over the past few years, Microsoft has been building a powerful capability to run Linux directly within the Windows OS, called Windows Subsystem for Linux (WSL). NVIDIA has been working closely with Microsoft to deliver GPU acceleration and support for the entire NVIDIA AI software stack inside WSL. Now developers can use Windows PC for all their local AI development needs with support for GPU-accelerated deep learning frameworks on WSL.

    With NVIDIA RTX GPUs delivering up to 48GB of RAM in desktop workstations, developers can now work with models on Windows that were previously only available on servers. The large memory also improves the performance and quality for local fine-tuning of AI models, enabling designers to customize them to their own style or content. And because the same NVIDIA AI software stack runs on NVIDIA data center GPUs, it’s easy for developers to push their models to Microsoft Azure Cloud for large training runs.

    Rapidly Optimize and Deploy Models

    With trained models in hand, developers need to optimize and deploy AI for target devices.

    Microsoft released the Microsoft Olive toolchain for optimization and conversion of PyTorch models to ONNX, enabling developers to automatically tap into GPU hardware acceleration such as RTX Tensor Cores. Developers can optimize models via Olive and ONNX, and deploy Tensor Core-accelerated models to PC or cloud. Microsoft continues to invest in making PyTorch and related tools and frameworks work seamlessly with WSL to provide the best AI model development experience.

    Improved AI Performance, Power Efficiency

    Once deployed, generative AI models demand incredible inference performance. RTX Tensor Cores deliver up to 1,400 Tensor TFLOPS for AI inferencing. Over the last year, NVIDIA has worked to improve DirectML performance to take full advantage of RTX hardware.

    On May 24, we’ll release our latest optimizations in Release 532.03 drivers that combine with Olive-optimized models to deliver big boosts in AI performance. Using an Olive-optimized version of the Stable Diffusion text-to-image generator with the popular Automatic1111 distribution, performance is improved over 2x with the new driver.

    Chart showing performance improvements in Stable Diffusion with updated NVIDIA drivers.Stable Diffusion performance tested on GeForce RTX 4090 using Automatic1111 and Text-to-Image function.

    With AI coming to nearly every Windows application, efficiently delivering inference performance is critical — especially for laptops. Coming soon, NVIDIA will introduce new Max-Q low-power inferencing for AI-only workloads on RTX GPUs. It optimizes Tensor Core performance while keeping power consumption of the GPU as low as possible, extending battery life and maintaining a cool, quiet system.  The GPU can then dynamically scale up for maximum AI performance when the workload demands it.

    Join the PC AI Revolution Now

    Top software developers — like Adobe, DxO, ON1 and Topaz — have already incorporated NVIDIA AI technology with more than 400 Windows applications and games optimized for RTX Tensor Cores.

    “AI, machine learning and deep learning power all Adobe applications and drive the future of creativity. Working with NVIDIA we continuously optimize AI model performance to deliver the best possible experience for our Windows users on RTX GPUs.” — Ely Greenfield, CTO of digital media at Adobe

    “NVIDIA is helping to optimize our WinML model performance on RTX GPUs, which is accelerating the AI in DxO DeepPRIME, as well as providing better denoising and demosaicing, faster.” — Renaud Capolunghi, senior vice president of engineering at DxO

    “Working with NVIDIA and Microsoft to accelerate our AI models running in Windows on RTX GPUs is providing a huge benefit to our audience. We’re already seeing 1.5x performance gains in our suite of AI-powered photography editing software.” — Dan Harlacher, vice president of products at ON1

    “Our extensive work with NVIDIA has led to improvements across our suite of photo- and video-editing applications. With RTX GPUs, AI performance has improved drastically, enhancing the experience for users on Windows PCs.” — Suraj Raghuraman, head of AI engine development at Topaz Labs

    NVIDIA and Microsoft are making several resources available for developers to test drive top generative AI models on Windows PCs. An Olive-optimized version of the Dolly 2.0 large language model is available on Hugging Face. And a PC-optimized version of NVIDIA NeMo large language model for conversational AI is coming soon to Hugging Face.

    Developers can also learn how to optimize their applications end-to-end to take full advantage of GPU-acceleration via the NVIDIA AI for accelerating applications developer site.

    The complementary technologies behind Microsoft’s Windows platform and NVIDIA’s dynamic AI hardware and software stack will help developers quickly and easily develop and deploy generative AI on Windows 11.

    Microsoft Build runs through Thursday, May 25. Tune into to learn more on shaping the future of work with AI.

    View the full article

  4. Robotics hardware traditionally requires programmers to deploy it. READY Robotics wants to change that with its “no code” software aimed at people working in manufacturing who haven’t got programming skills.

    The Columbus, Ohio, startup is a spinout of robotics research from Johns Hopkins University. Kel Guerin was a PhD candidate there leading this research when he partnered with Benjamin Gibbs, who was at Johns Hopkins Technology Ventures, to land funding and pursue the company, now led by Gibbs as CEO.

    “There was this a-ha moment where we figured out that we could take these types of visual languages that are very easy to understand and use them for robotics,” said Guerin, who’s now chief innovation officer at the startup.

    READY’s  “no code” ForgeOS operating system is designed to enable anyone to program any type of robot hardware or automation device. ForgeOS works seamlessly with plug-ins for most major robot hardware, and similar to other operating systems, like Android, it allows running third-party apps and plugins, providing a robust ecosystem of partners and developers working to make robots more capable, says Guerin.

    Implementing apps in robotics allows for new capabilities to be added to a robotic system in a few clicks, improving user experience and usability. Users can install their own apps, such as Task Canvas, which provides an intuitive building block programming interface similar to Scratch, a simple block-based visual language for kids developed at MIT Media Lab, which was influential in its design.

    Task Canvas allows users to show the actions of the robot, as well as all the other devices in an automation cell (such as grippers, programmable logic controllers, and machine tools) as blocks in a flow chart. The user can easily create powerful logic by tying these blocks together — without writing a single line of code. The interface offers nonprogrammers a more “drag-and-drop” experience for programming and deploying robots, whether working directly on the factory floor with real robots on a tablet device or with access to simulation from Isaac Sim, powered by NVIDIA Omniverse.

     

    Robot System Design in Simulation for Real-World Deployments 

    READY is making robotics system design easier for nonprogrammers, helping to validate robots and systems for accelerated deployments.

    The company is developing Omniverse Extensions — Omniverse kit applications based on Isaac Sim — and can deploy them on the cloud. It uses Omniverse Nucleus — the platform’s database and collaboration engine — in the cloud as well.

    Isaac Sim is an application framework that enables simulation training for testing out robots in virtual manufacturing lines before deployment into the real world.

    “Bigger companies are moving to a sim-first approach to automation because these systems cost a lot of money to install. They want to simulate them first to make sure it’s worth the investment,” said Guerin.

    The startup charges users of its platform licensing per software seat and also offers support services to help roll out and develop systems.

    It’s a huge opportunity. Roughly 90 percent of the world’s factories haven’t yet embraced automation, which is a trillion-dollar market.

    READY is a member of NVIDIA Inception, a free program that provides startups with technical training, go-to-market support and AI platform guidance.

    From Industrial Automation Giants to Stanley Black & Decker

    The startup operates in an ecosystem of world-leading industrial automation providers, and these global partners are actively developing integrations with platforms like NVIDIA Omniverse and are investing in READY, said Guerin.

    “Right now we are starting to work with large enterprise customers who want to automate but they can’t find the expertise to do it,” he said.

    Stanley Black & Decker, a global supplier of tools, is relying on READY to automate machines, including CNC lathes and mills.

    Robotic automation had been hard to deploy in their factory until Stanley Black & Decker started using READY’s ForgeOS with its Station setup, which makes it possible to deploy robots in a day.

    Creating Drag-and-Drop Robotic Systems in Simulation 

    READY is putting simulation capabilities into the hands of nonprogrammers, who can learn its Task Canvas interface for drag-and-drop programming of industrial robots in about an hour, according to the company.

    The company also runs READY Academy, which offers a catalog of free training for manufacturing professionals to learn the skills to design, deploy, manage and troubleshoot robotic automation systems.

    “For potential customers interested in our technology, being able to try it out with a robot simulated in Omniverse before they get their hands on the real thing — that’s something we’re really excited about,” said Guerin.

    Learn more about NVIDIA Isaac Sim, Jetson Orin, Omniverse Enterprise.

     

    View the full article

  5. It’s time to take out the space trash.

    In this episode of the NVIDIA AI Podcast, host Noah Kravitz dives into an illuminating conversation with Alex Fielding, co-founder and CEO of Privateer Space.

    Fielding is a tech industry veteran, having previously worked alongside Apple co-founder Steve Wozniak on several projects, and holds a deep expertise in engineering, robotics, machine learning and AI.

    Privateer Space, Fielding’s latest venture, aims to address one of the most daunting challenges facing our world today: space debris.

    The company is creating a data infrastructure to monitor and clean up space debris, ensuring sustainable growth for the budding space economy. In essence, they’re the sanitation engineers of the cosmos.

    Privateer Space is also a part of NVIDIA Inception, a free program that offers go-to-market support, expertise and technology for AI startups.

    During the podcast, Fielding shares the genesis of Privateer Space, his journey from Apple to the space industry, and his subsequent work on communication between satellites at different altitudes.

    He also addresses the severity of space debris, explaining how every launch adds more debris, including minute yet potentially dangerous fragments like frozen propellant and paint chips.

    Tune in to the podcast for more on what the future holds for the intersection of AI and space.

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