{"id":3183,"date":"2023-09-26T14:42:31","date_gmt":"2023-09-26T14:42:31","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2023\/09\/26\/ai-power-players-geforce-and-nvidia-rtx-gpus-supercharge-creativity-gaming-development-productivity-and-more\/"},"modified":"2023-09-26T14:42:31","modified_gmt":"2023-09-26T14:42:31","slug":"ai-power-players-geforce-and-nvidia-rtx-gpus-supercharge-creativity-gaming-development-productivity-and-more","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2023\/09\/26\/ai-power-players-geforce-and-nvidia-rtx-gpus-supercharge-creativity-gaming-development-productivity-and-more\/","title":{"rendered":"AI Power Players: GeForce and NVIDIA RTX GPUs Supercharge Creativity, Gaming, Development, Productivity and More"},"content":{"rendered":"
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Editor\u2019s note: This post is part of our weekly <\/i>In the NVIDIA Studio<\/i><\/a> series, which celebrates featured artists, offers creative tips and tricks and demonstrates how <\/i>NVIDIA Studio<\/i><\/a> technology improves creative workflows. We\u2019re also deep-diving on new <\/i>GeForce RTX 40 Series GPU<\/i><\/a> features, technologies and resources and how they dramatically accelerate content creation.<\/i><\/p>\n

Improving gaming, creating and everyday productivity, NVIDIA RTX graphics cards feature specialized Tensor Cores that deliver cutting-edge performance and transformative capabilities for AI.<\/p>\n

An arsenal of 100 million AI-ready, RTX-powered Windows 11 PCs and workstations are primed to excel in AI workflows and help launch a new wave of training models and apps.<\/p>\n

This week In the NVIDIA Studio<\/i>, learn more about these AI power-players and read about Victor de Martrin, a self-taught 3D artist who shares the creative process behind his viral video Ascension<\/i>, which features an assist from AI and uses a new visual effect process involving point clouds.<\/p>\n<\/p>\n

AI on the Prize<\/b><\/h2>\n

AI can elevate both work and play.<\/p>\n

Content creators with NVIDIA Studio hardware<\/a> can access over 100 AI-enabled and RTX-accelerated creative apps, including the Adobe Creative Cloud suite, Blender, Blackmagic Design\u2019s DaVinci Resolve, OBS Studio and more.<\/p>\n

This includes the NVIDIA Studio suite of AI tools and exclusive next-generation technology such as NVIDIA DLSS 3.5, featuring Ray Reconstruction<\/a> and OptiX<\/a>. AI image generation on a GeForce RTX 4090-powered PC can be completed at lightning speed \u2014 the same task would take 8x longer with an Apple M2 Ultra.<\/p>\n

3D modelers can benefit immensely from AI, with dramatic improvements in real-time viewport rendering and upscaling with DLSS in NVIDIA Omniverse, Adobe Substance, Adobe Painter, Blender, D5 Render, Unreal Engine and more.<\/p>\n

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D5 Render full ray-tracing preview with Ray Reconstruction.<\/figcaption><\/figure>\n

Gamers are primed for AI boosts with DLSS<\/a> in over 300 games, including Alan Wake 2<\/i>, coming soon, and Cyberpunk 2077: Phantom Liberty<\/i>, available for download today.<\/p>\n<\/p>\n

Modders can breathe new life into classic games with NVIDIA RTX Remix\u2019s<\/a> revolutionary AI upscaling and texture enhancements. Game studios deploying the NVIDIA Avatar Cloud Engine (ACE) can build intelligent game characters, interactive avatars and digital humans in apps at scale \u2014 saving time and money.<\/p>\n<\/p>\n

Everyday tasks also get a boost. AI can draft emails, summarize content and upscale video to stunning 4K on YouTube and Netflix with RTX Video Super Resolution. Frequent video chat users can harness the power of NVIDIA Broadcast<\/a> for AI-enhanced voice and video features. And livestreamers can take advantage of AI-powered features like virtual backgrounds, noise removal and eye contact, which moves the eyes of the speaker to simulate eye contact with the camera.<\/p>\n

NVIDIA hardware powers AI natively and in the cloud \u2014 including for the world\u2019s leading cloud AIs like ChatGPT, Midjourney, Microsoft 365 Copilot, Adobe Firefly and more.<\/p>\n

Get further with AI \u2014 faster on RTX \u2014 and learn more<\/a> to get started.<\/p>\n

AI on Windows<\/b><\/h2>\n

NVIDIA AI, the world\u2019s leading AI development platform, is supported by 100 million AI-ready RTX-powered Windows 11 PCs and workstations<\/a>.<\/p>\n

State-of-the-art technologies behind the Windows platform and NVIDIA\u2019s AI hardware and software enable GPU-accelerated workflows for training and deploying AI models, exclusive tools, containers, software development kits and new open-source models optimized for RTX.<\/p>\n

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100 million RTX-powered Windows 11 PCs and workstations are already AI-ready.<\/figcaption><\/figure>\n

With these integrations, Windows and NVIDIA are making it easier<\/a> for developers to create the next generation of AI-powered Windows apps.<\/p>\n

AI on Viral Content<\/b><\/h2>\n

3D content creator Martrin saw content creation as a means to gain financial, creative and geographical freedom \u2014 as well as a sense of gratification that he wasn\u2019t getting in his day job in advertising.<\/p>\n

\u201cTo gain recognition as an artist nowadays, unless you have connections, you\u2019ve got to grind it out on social media,\u201d admitted Martrin. As he began to showcase artwork to wider audiences, Martrin unexpectedly enjoyed the process of creating art aimed at garnering social media attention.<\/p>\n

Best known for his viral video series\u00a0Satisfying Marble Music \u2014 <\/i>in which he replicates melodies by simulating a marble bouncing on xylophone notes \u2014 Martrin also takes a keen interest in the latest trends and advancements in the world of 3D to consistently meet his clients\u2019 evolving demands.<\/p>\n

In his recent project Ascension<\/i>, he experimented with a point-cloud modeling technique for the first time, aiming to create a transition between reality and 3D.\u00a0<\/i><\/p>\n

Martrin used several 3D apps to refine video footage and animate himself in 3D. The initial stages involved modeling and animating a portrait of himself, which he used Daz Studio and Blender to accomplish. His PC, equipped with two NVIDIA GeForce RTX 4090 GPUs, easily handled this task.<\/p>\n

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Animations come to life in Blender.<\/figcaption><\/figure>\n

He then used the GPU-accelerated Marvelous Designer cloth simulation engine to craft and animate his clothing.<\/p>\n

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Realistic clothes generated in Marvelous Designer.<\/figcaption><\/figure>\n

Martrin stressed the importance of GPU acceleration in his creative workflow. \u201cWhen did I use it? The countless times I checked my live viewer and during the creation of every render,\u201d said Martrin.<\/p>\n

From there, Martrin tested point-cloud modeling techniques. He first 3D-scanned his room. Then, instead of using the room as conventional 3D mesh, he deployed it as a set of data points in space to create a unique visual style.<\/p>\n

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Background elements added in Cinema 4D.<\/figcaption><\/figure>\n

He then used Cinema 4D and OctaneRender with RTX-accelerated ray tracing to render the animation.<\/p>\n

Martrin completed the project by applying a GPU-accelerated composition and special effects in Adobe After Effects, achieving faster rendering with NVIDIA CUDA<\/a> technology.<\/p>\n

\u201cNo matter how tough it is at the start, keep grinding and challenging \u2014 odds are, success will eventually follow,\u201d said Martrin.<\/p>\n

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3D content creator Victor de Martrin.<\/figcaption><\/figure>\n

Check out Martrin\u2019s viral content on TikTok<\/a>.<\/p>\n

Follow NVIDIA Studio on <\/i>Instagram<\/i><\/a>, <\/i>Twitter<\/i><\/a> and <\/i>Facebook<\/i><\/a>. Access tutorials on the <\/i>Studio YouTube channel<\/i><\/a> and get updates directly in your inbox by subscribing to the <\/i>Studio newsletter<\/i><\/a>.<\/i>\u00a0<\/b><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

https:\/\/blogs.nvidia.com\/blog\/2023\/09\/26\/itns-rtx-ai-windows\/<\/p>\n","protected":false},"author":0,"featured_media":3184,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3183"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=3183"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/3183\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/3184"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=3183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=3183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=3183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}