Month: September 2025

AI agents are expected to be involved in most business tasks within three years, with effective human-agent collaboration projected to increase human engagement in high-value tasks by 65%.

NVIDIA Blackwell RTX is coming to the cloud on Wednesday, Sept. 10 — an upgrade so big it couldn’t wait until a Thursday. Don’t miss a special early GFN Thursday next Wednesday as GeForce NOW begins lighting up the globe with GeForce RTX 5080-class power streaming from the cloud. With this upgrade, cloud gaming is
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Autonomous vehicle (AV) technology is rapidly evolving, fueled by ever-larger and more complex AI models deployed at the edge. Modern vehicles now require not…

Autonomous vehicle (AV) technology is rapidly evolving, fueled by ever-larger and more complex AI models deployed at the edge. Modern vehicles now require not only advanced perception and sensor fusion, but also end-to-end deep learning pipelines that enable comprehensive environment understanding, multimodal fusion, and real-time decision making—all processed entirely onboard.

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In modern engineering, the pace of innovation is closely linked to the ability to perform accelerated simulations. Computer-aided engineering (CAE) plays a…

In modern engineering, the pace of innovation is closely linked to the ability to perform accelerated simulations. Computer-aided engineering (CAE) plays a vital role in the design of optimal and reliable engineering products by helping verify performance and safety. Traditional numerical simulations produce accurate results but often require hours, days, or even weeks to run.

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In AI infrastructure, data fuels the compute engine. With evolving agentic AI systems, where multiple models and services interact, fetch external context, and…

In AI infrastructure, data fuels the compute engine. With evolving agentic AI systems, where multiple models and services interact, fetch external context, and make decisions in real time, enterprises face the growing challenge of moving massive amounts of data quickly, intelligently, and reliably. Whether it is loading a model from persistent storage, retrieving knowledge to support a query…

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3D artists are constantly prototyping. In traditional workflows, modelers must build placeholder, low-fidelity assets to populate 3D scenes, tinkering and adjusting the core elements until they’re in place. From there, visuals can be refined, detailed and finalized. Prototyping is time consuming and often comprises throwaway work, forcing artists to spend time on tedious modeling rather
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Deploying large language models (LLMs) at scale presents a dual challenge: ensuring fast responsiveness during high demand, while managing the costs of GPUs….

Deploying large language models (LLMs) at scale presents a dual challenge: ensuring fast responsiveness during high demand, while managing the costs of GPUs. Organizations often face a trade-off between provisioning additional GPUs for peak demand or risking service level agreement during spikes in traffic, where they decide between: Neither approach is ideal. The first drains your…

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Selecting the best possible General Matrix Multiplication (GEMM) kernel for a specific problem and hardware is a significant challenge. The performance of a…

Selecting the best possible General Matrix Multiplication (GEMM) kernel for a specific problem and hardware is a significant challenge. The performance of a GEMM kernel is determined by an array of compile-time and runtime meta-parameters: CTA, warp and instruction level tile sizes, kernel schedules, rasterization strategies, cluster dimensions, split-k factors, and so on.

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The world of embedded and edge computing is about to get faster, more efficient, and more versatile with the upcoming CUDA 13.0 release for Jetson Thor SoC…

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