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Hopper Scales New Heights, Accelerating AI and HPC Applications for Mainstream Enterprise Servers

Since its introduction, the NVIDIA Hopper architecture has transformed the AI and high-performance computing (HPC) landscape, helping enterprises, researchers and developers tackle the world’s most complex challenges with higher performance and greater energy efficiency. During the Supercomputing 2024 conference, NVIDIA announced the availability of the NVIDIA H200 NVL PCIe GPU — the latest addition to
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Foxconn Expands Blackwell Testing and Production With New Factories in U.S., Mexico and Taiwan

To meet demand for Blackwell, now in full production, Foxconn, the world’s largest electronics manufacturer, is using NVIDIA Omniverse. The platform for developing industrial AI simulation applications is helping bring facilities in the U.S., Mexico and Taiwan online faster than ever. Foxconn uses NVIDIA Omniverse to virtually integrate their facility and equipment layouts, NVIDIA Isaac
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From Algorithms to Atoms: NVIDIA ALCHEMI NIM Catalyzes Sustainable Materials Research for EV Batteries, Solar Panels and More

More than 96% of all manufactured goods — ranging from everyday products, like laundry detergent and food packaging, to advanced industrial components, such as semiconductors, batteries and solar panels — rely on chemicals that cannot be replaced with alternative materials. With AI and the latest technological advancements, researchers and developers are studying ways to create
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NVIDIA Opens BioNeMo to Scale Digital Biology for Global Biopharma and Scientific Industry

NVIDIA today announced that global pharmaceutical and techbio industry leaders, academic pioneers and AI researchers are adopting the open-source NVIDIA® BioNeMo™ Framework to advance drug discovery and accelerate molecule design.

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NVIDIA Accelerates Google Quantum AI Processor Design With Simulation of Quantum Device Physics

NVIDIA today announced it is working with Google Quantum AI to accelerate the design of its next-generation quantum computing devices using simulations powered by the NVIDIA CUDA-Q™ platform.

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Revolutionizing AI-Driven Material Discovery Using NVIDIA ALCHEMI

AI has proven to be a force multiplier, helping to create a future where scientists can design entirely new materials, while engineers seamlessly transform…

AI has proven to be a force multiplier, helping to create a future where scientists can design entirely new materials, while engineers seamlessly transform these designs into production plans—all without ever setting foot in a lab. As AI continues to redefine the boundaries of innovation, this once elusive vision is now more within reach. Recognizing this paradigm shift…

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Rapidly Create Real-Time Physics Digital Twins with NVIDIA Omniverse Blueprints

Car wind tunnel test close upEverything that is manufactured is first simulated with advanced physics solvers. Real-time digital twins (RTDTs) are the cutting edge of computer-aided…Car wind tunnel test close up

Everything that is manufactured is first simulated with advanced physics solvers. Real-time digital twins (RTDTs) are the cutting edge of computer-aided engineering (CAE) simulation, because they enable immediate feedback in the engineering design loop. They empower engineers to innovate freely and rapidly explore new designs by experiencing in real time the effects of any change in the simulation.

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NVIDIA Partners Accelerate Quantum Breakthroughs with AI Supercomputing

NVIDIA’s vision of accelerated quantum supercomputers integrates quantum hardware and AI supercomputing to turn today’s quantum processors into tomorrow’s…

NVIDIA’s vision of accelerated quantum supercomputers integrates quantum hardware and AI supercomputing to turn today’s quantum processors into tomorrow’s useful quantum computing devices. At Supercomputing 2024 (SC24), NVIDIA announced a wave of projects with partners that are driving the quantum ecosystem through those challenges standing between today’s technologies and this accelerated…

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Introducing NVIDIA CUDA-QX Libraries for Accelerated Quantum Supercomputing

Diagrammatic representation of the surface code an important quantum error correction code included in the CUDA-Q QEC library.Accelerated quantum supercomputing combines the benefits of AI supercomputing with quantum processing units (QPUs) to develop solutions to some of the world’s…Diagrammatic representation of the surface code an important quantum error correction code included in the CUDA-Q QEC library.

Accelerated quantum supercomputing combines the benefits of AI supercomputing with quantum processing units (QPUs) to develop solutions to some of the world’s hardest problems. Realizing such a device involves the seamless integration of one or more QPUs into a traditional CPU and GPU supercomputing architecture. An essential component of any accelerated quantum supercomputer is a programming…

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Accelerate Drug and Material Discovery with New Math Library NVIDIA cuEquivariance

AI models for science are often trained to make predictions about the workings of nature, such as predicting the structure of a biomolecule or the properties of…

AI models for science are often trained to make predictions about the workings of nature, such as predicting the structure of a biomolecule or the properties of a new solid that can become the next battery material. These tasks require high precision and accuracy. What makes AI for science even more challenging is that highly accurate and precise scientific data is often scarce…

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