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Spotlight: Qodo Innovates Efficient Code Search with NVIDIA DGX

Decorative image.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…

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Real-Time GPU-Accelerated Gaussian Splatting with NVIDIA DesignWorks Sample vk_gaussian_splatting

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…

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NVIDIA cuPyNumeric 25.03 Now Fully Open Source with PIP and HDF5 Support

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…

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Capital One Banks on AI for Financial Services

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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How the Economics of Inference Can Maximize AI Value

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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Project G-Assist Plug-In Builder Lets Anyone Customize AI on GeForce RTX AI PCs

AI is rapidly reshaping what’s possible on a PC — whether for real-time image generation or voice-controlled workflows. As AI capabilities grow, so does their complexity. Tapping into the power of AI can entail navigating a maze of system settings, software and hardware configurations. Enabling users to explore how on-device AI can simplify and enhance
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Enhance Your AI Agent with Data Flywheels Using NVIDIA NeMo Microservices

Enterprise data is constantly changing. This presents significant challenges for maintaining AI system accuracy over time. As organizations increasingly rely on…

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Enterprises Onboard AI Teammates Faster With NVIDIA NeMo Tools to Scale Employee Productivity

An AI agent is only as accurate, relevant and timely as the data that powers it. Now generally available, NVIDIA NeMo microservices are helping enterprise IT quickly build AI teammates that tap into data flywheels to scale employee productivity. The microservices provide an end-to-end developer platform for creating state-of-the-art agentic AI systems and continually optimizing
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NVIDIA GTC Training Labs Now Available On Demand

Missed GTC? This year’s training labs are now available on demand to watch anywhere, anytime.

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AI for a Greener Future: Its Power is in Our Hands

Can AI guide us toward a more sustainable future, or is it exacerbating global energy and climate challenges?  This critical question was recently posed to…

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