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NVIDIA RTX Video is a collection of AI video enhancements that improve the visual quality of lower-quality video.  RTX Video Super Resolution was announced…

NVIDIA RTX Video is a collection of AI video enhancements that improve the visual quality of lower-quality video. Originally released as a driver API, NVIDIA RTX Video is now available as an SDK, letting you integrate these effects directly into your own applications. NVIDIA RTX Video Super Resolution upscales video while removing compression artifacts.

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Capcom’s latest entry in the iconic Street Fighter series, Street Fighter 6, punches its way into the cloud this GFN Thursday. The game, along with Ubisoft’s XDefiant, leads six new games joining the GeForce NOW library. A new reward makes its way to the cloud gaming service’s Ultimate and Priority members. For a limited time,
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India’s AI market is expected to be massive. Yotta Data Services is setting its sights on supercharging it. In this episode of NVIDIA’s AI Podcast, Sunil Gupta, cofounder, managing director and CEO of Yotta Data Services, speaks with host Noah Kravitz about the company’s Shakti Cloud offering, which provides scalable GPU services for enterprises of
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NVIDIA Holoscan is the NVIDIA domain-agnostic multimodal real-time AI sensor processing platform that delivers the foundation for developers to build their…

NVIDIA Holoscan is the NVIDIA domain-agnostic multimodal real-time AI sensor processing platform that delivers the foundation for developers to build their end-to-end sensor processing pipeline. NVIDIA Holoscan SDK features include: Holoscan SDK can be used to build streaming AI pipelines for a range of industries and use cases, including medical devices, high-performance computing at…

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NVIDIA launched NVIDIA Studio at COMPUTEX in 2019. Five years and more than 500 NVIDIA RTX-accelerated apps and games later, it’s bringing AI to even more creators with an array of new RTX technology integrations announced this week at COMPUTEX 2024.

NVIDIA Parabricks expands the NVIDIA emphasis on solving omics challenges with deep learning and continues accelerating genomics instruments. NVIDIA Parabricks…

NVIDIA Parabricks expands the NVIDIA emphasis on solving omics challenges with deep learning and continues accelerating genomics instruments. NVIDIA Parabricks v4.3.1, released at The European Society of Human Genetics (ESHG), introduces new functionality for variant calling in somatic data and upgrades to the latest versions of industry-leading tools. This release follows the recent Parabricks v4.

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NVIDIA JetPack SDK powers NVIDIA Jetson modules, offering a comprehensive solution for building end-to-end accelerated AI applications. JetPack 6 expands the…

NVIDIA JetPack SDK powers NVIDIA Jetson modules, offering a comprehensive solution for building end-to-end accelerated AI applications. JetPack 6 expands the Jetson platform’s flexibility and scalability with microservices and a host of new features. It’s the most downloaded version of JetPack in 2024. With the JetPack 6.0 production release now generally available…

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NVIDIA ACE—a suite of technologies bringing digital humans to life with generative AI—is now generally available for developers. Packaged as NVIDIA NIMs,…

NVIDIA ACE—a suite of technologies bringing digital humans to life with generative AI—is now generally available for developers. Packaged as NVIDIA NIMs, these inference microservices enable developers to deliver high-quality natural language understanding, speech synthesis, and facial animation for gaming, customer service, healthcare, and more. NVIDIA is also introducing ACE PC NIM…

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German enterprise cloud leader SAP is harnessing generative AI and industrial digital twins in the development of next-generation enterprise applications for its customers. At SAP’s Sapphire event today, in Orlando, Florida, NVIDIA and the enterprise software company unveiled generative AI efforts featuring NVIDIA AI Enterprise software to offer two new capabilities for Joule, SAP’s generative
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Building and deploying AI applications at scale requires a new class of computing infrastructure — one that can handle the massive amounts of data, compute power and networking bandwidth needed by generative AI models. To better ensure these models perform optimally and efficiently, NVIDIA is teaming with Cisco to enable enterprise generative AI infrastructure. Cisco’s
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