Category: Misc

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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For more than a century, meteorologists have chased storms with chalkboards, equations, and now, supercomputers. But for all the progress, they still stumble over one deceptively simple ingredient: water vapor. Humidity is the invisible fuel for thunderstorms, flash floods, and hurricanes. It’s the difference between a passing sprinkle and a summer downpour that sends you
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The rapid rise of agentic AI has reshaped how enterprises, developers, and entire industries think about automation and digital productivity. From software…

The rapid rise of agentic AI has reshaped how enterprises, developers, and entire industries think about automation and digital productivity. From software development workflows to enterprise process orchestration, AI agents are increasingly helping to power enterprises’ core operations, especially in areas that have previously been deemed plagued by repetitive tasks. Most of these agents…

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Major open-source foundational model releases are an exciting time for the AI community, bringing unique architectural innovations and capabilities. As the…

Major open-source foundational model releases are an exciting time for the AI community, bringing unique architectural innovations and capabilities. As the first open-source model family from the OpenAI lab since GPT-2, gpt-oss hasn’t disappointed. It delivers an advanced model with a mixture of expert (MoE) architecture, 128K context length, and adjustable deep reasoning abilities.

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