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Misc

Cut Model Deployment Costs While Keeping Performance With GPU Memory Swap

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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Misc

Improving GEMM Kernel Auto-Tuning Efficiency on NVIDIA GPUs with Heuristics and CUTLASS 4.2

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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What’s New in CUDA Toolkit 13.0 for Jetson Thor: Unified Arm Ecosystem and More

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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Misc

It’s the Humidity: How International Researchers in Poland, Deep Learning and NVIDIA GPUs Could Change the Forecast

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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Misc

Make your ZeroGPU Spaces go brrr with PyTorch ahead-of-time compilation