NVIDIA TAO Toolkit provides a low-code AI framework to accelerate vision AI model development suitable for all skill levels, from novice beginners to expert data scientists. With the TAO Toolkit, developers can use the power and efficiency of transfer learning to achieve state-of-the-art accuracy and production-class throughput in record time with adaptation and optimization.
]]>During GTC 2023, NVIDIA announced the latest release of NVIDIA CloudXR that enables you to customize this SDK for your applications and customers, and scale extended reality (XR) deployment across the cloud, 5G Mobile Compute Edge (MEC), and corporate networks. NVIDIA CloudXR 4.0 introduces new APIs that deliver enhanced flexibility for server and client application development.
]]>At NVIDIA GTC 2023, NVIDIA unveiled notable updates to its suite of NVIDIA AI software for developers to accelerate computing. The updates reduce costs in several areas, such as data science workloads with NVIDIA RAPIDS, model analysis with NVIDIA Triton, AI imaging and computer vision with CV-CUDA, and many more. To keep up with the newest SDK advancements from NVIDIA, watch the GTC keynote��
]]>NVIDIA showed how AI workflows can be leveraged to help you accelerate the development of AI solutions to address a range of use cases at NVIDIA GTC 2023. AI workflows are cloud-native, packaged reference examples showing how NVIDIA AI frameworks can be used to efficiently build AI solutions such as intelligent virtual assistants, digital fingerprinting for cybersecurity��
]]>LumenRT for NVIDIA Omniverse is the first engineering software application in the market built on NVIDIA Omniverse. The integration of NVIDIA Omniverse and the Bentley iTwin Platform enables real-time, immersive 3D and 4D experiences to enhance the visualization and simulation of infrastructure digital twins. The Bentley iTwin Platform is an open, scalable cloud platform for creating��
]]>MONAI, the domain-specific, open-source medical imaging AI framework that drives research breakthroughs and accelerates AI into clinical impact, has now been downloaded by over 1M data scientists, developers, researchers, and clinicians. The 1M mark represents a major milestone for the medical open network for AI, which has powered numerous research breakthroughs and introduced new developer tools��
]]>NVIDIA BlueField-3 data processing units (DPUs) are now in full production, and have been selected by Oracle Cloud Infrastructure (OCI) to achieve higher performance, better efficiency, and stronger security, as announced at NVIDIA GTC 2023. As a 400 Gb/s infrastructure compute platform, BlueField-3 enables organizations to deploy and operate data centers at massive scale.
]]>NVIDIA T4 was introduced 4 years ago as a universal GPU for use in mainstream servers. T4 GPUs achieved widespread adoption and are now the highest-volume NVIDIA data center GPU. T4 GPUs were deployed into use cases for AI inference, cloud gaming, video, and visual computing. At the NVIDIA GTC 2023 keynote, NVIDIA introduced several inference platforms for AI workloads��
]]>Using generative AI and the NVIDIA Morpheus cybersecurity AI framework, developers can build solutions that detect spear phishing attempts more effectively and with extremely short training times. In fact, using NVIDIA Morpheus and a generative AI training technique, we were able to detect 90% of targeted spear phishing emails��a 20% improvement compared to a typical phishing detection solution��
]]>Imagine you are about to embark on the mountain biking adventure of a lifetime. You have done all of the planning and training. Now, all you need is the perfect bike. You need the best shocks, tires, brakes, frame, handlebars, and seat. Imagine that all of these parts would come together in one package, preassembled, saving you time and money. NVIDIA IGX Orin offers a similar package to edge��
]]>Generative AI has marked an important milestone in the AI revolution journey. We are at a fundamental breaking point where enterprises are not only getting their feet wet but jumping into the deep end. With over 50 frameworks, pretrained models, and development tools, NVIDIA AI Enterprise, the software layer of the NVIDIA AI platform, is designed to accelerate enterprises to the leading edge��
]]>Creating new drug candidates is a heroic endeavor, often taking over 10 years to bring a drug to market. New supercomputing-scale large language models (LLMs) that understand biology and chemistry text are helping scientists understand proteins, small molecules, DNA, and biomedical text. These state-of-the-art AI models help generate de novo proteins and molecules and predict the 3D��
]]>The upcoming 4.1 release of NVIDIA Parabricks, a suite of accelerated genomic analysis applications, goes further than ever before in accelerating sequencing alignment and increasing the accuracy of deep learning variant calling. The release includes a new workflow for PacBio long-read data, featuring an accelerated Minimap2 tool and Google��s DeepVariant for full GPU-enabled, end-to-end analysis��
]]>The NVIDIA Jetson Orin Nano Developer Kit sets a new standard for creating entry-level AI-powered robots, smart drones, and intelligent vision systems, as NVIDIA announced at NVIDIA GTC 2023. It also simplifies getting started with the NVIDIA Jetson Orin Nano series. Compact design, numerous connectors, and up to 40 TOPS of AI performance make this developer kit ideal for transforming your��
]]>At GDC 2023, NVIDIA released new tools that make real-time path tracing more accessible to developers while accelerating the creation of ultra-realistic game worlds. Announced with the NVIDIA Ada Lovelace architecture, DLSS 3 raised the bar not just for visuals but also performance and responsiveness. Since its introduction in 2019 with the NVIDIA Turing architecture��
]]>NVIDIA Base Command Platform provides the capabilities to confidently develop complex software that meets the performance standards required by scientific computing workflows. The platform enables both cloud-hosted and on-premises solutions for AI development by providing developers with the tools needed to efficiently configure and manage AI workflows. Integrated data and user management simplify��
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