Real-time ray tracing is a powerful rendering technique that can create incredibly realistic images. NVIDIA OptiX and RTX technology make this possible, even…
Category: Misc
Researchers from the University College London (UCL) Deciding, Acting, and Reasoning with Knowledge (DARK) Lab leverage NVIDIA NIM microservices in their new…
Get the controllers ready and clear the calendar — it’s a jam-packed GFN Thursday. Time to revisit a timeless classic for a dose of remastered nostalgia. GeForce NOW is bringing members a surprise from Bethesda — The Elder Scrolls IV: Oblivion Remastered is now available in the cloud. Clair Obscur: Expedition 33, the spellbinding turn-based
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Advancing AI requires a full-stack approach, with a powerful foundation of computing infrastructure — including accelerated processors and networking technologies — connected to optimized compilers, algorithms and applications. NVIDIA Research is innovating across this spectrum, supporting virtually every industry in the process. At this week’s International Conference on Learning Representations (ICLR), taking place April 24-28
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As many enterprises move to running AI training or inference on their data, the data and the code need to be protected, especially for large language models…
Large language models (LLMs) have enabled AI tools that help you write more code faster, but as we ask these tools to take on more and more complex tasks, there…
Gaussian splatting is a novel approach to rendering complex 3D scenes by representing them as a collection of anisotropic Gaussians in 3D space. This technique…
NVIDIA cuPyNumeric is a library that aims to provide a distributed and accelerated drop-in replacement for NumPy built on top of the Legate framework. It brings…
Financial services has long been at the forefront of adopting technological innovations. Today, generative AI and agentic systems are redefining the industry, from customer interactions to enterprise operations. Prem Natarajan, executive vice president, chief scientist and head of AI at Capital One, joined the NVIDIA AI Podcast to discuss how his organization is building proprietary
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As AI models evolve and adoption grows, enterprises must perform a delicate balancing act to achieve maximum value. That’s because inference — the process of running data through a model to get an output — offers a different computational challenge than training a model. Pretraining a model — the process of ingesting data, breaking it
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