DataBloom

Large ensembles are essential for predicting rare, high-impact events that cannot be fully understood through historical data alone. By simulating thousands of…

Large ensembles are essential for predicting rare, high-impact events that cannot be fully understood through historical data alone. By simulating thousands of potential scenarios, they provide the statistical depth necessary to assess risks, prepare for extremes, and build resilience against once-in-a-century disasters. Global insurance group AXA is conducting simulations with cutting-edge…

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Electric vehicles (EVs) are transforming transportation, but challenges such as cost, longevity, and range remain barriers to widespread adoption. At the heart…

Electric vehicles (EVs) are transforming transportation, but challenges such as cost, longevity, and range remain barriers to widespread adoption. At the heart of these challenges lies battery technology—specifically, the electrolyte, a critical component that enables energy storage and delivery. The electrolyte’s properties directly impact a battery’s charging speed, power output, stability…

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Generative AI is unlocking new capabilities for PCs and workstations, including game assistants, enhanced content-creation and productivity tools and more. NVIDIA NIM microservices, available now, and AI Blueprints, in the coming weeks, accelerate AI development and improve its accessibility. Announced at the CES trade show in January, NVIDIA NIM provides prepackaged, state-of-the-art AI models optimized
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With emerging use cases such as digital humans, agents, podcasts, images, and video generation, generative AI is changing the way we interact with PCs. This…

With emerging use cases such as digital humans, agents, podcasts, images, and video generation, generative AI is changing the way we interact with PCs. This paradigm shift calls for new ways of interfacing with and programming generative AI models. However, getting started can be daunting for PC developers and AI enthusiasts. Today, NVIDIA released a suite of NVIDIA NIM microservices on…

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Attending KubeCon? Meet NVIDIA at booth S750, join our startup mixer, or stop by our 15+ sessions.

Attending KubeCon? Meet NVIDIA at booth S750, join our startup mixer, or stop by our 15+ sessions.

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In recent years, open-source systems like Flower and NVIDIA FLARE have emerged as pivotal tools in the federated learning (FL) landscape, each with its unique…

In recent years, open-source systems like Flower and NVIDIA FLARE have emerged as pivotal tools in the federated learning (FL) landscape, each with its unique focus. Flower champions a unified approach to FL, enabling researchers and developers to design, analyze, and evaluate FL applications with ease. Over time, it has amassed a rich suite of strategies and algorithms…

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Noise is the notorious adversary of quantum computing. Qubits are sensitive to the slightest environmental perturbations, quickly causing errors to accumulate…

Noise is the notorious adversary of quantum computing. Qubits are sensitive to the slightest environmental perturbations, quickly causing errors to accumulate and make the results of even the simplest quantum algorithms too noisy to be meaningful. Quantum error correction (QEC) circumvents this problem by using many noisy physical qubits to encode logical qubits effectively immune to noise.

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The NVIDIA CUDA-Q platform is designed to streamline software and hardware development for hybrid, accelerated quantum supercomputers. Users can write code…

The NVIDIA CUDA-Q platform is designed to streamline software and hardware development for hybrid, accelerated quantum supercomputers. Users can write code once, test it on any QPU or simulator, and accelerate all parts of the workflow. This liberates time for achieving scientific breakthroughs rather than waiting for results. CUDA-Q v0.10 has more features and increased performance…

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