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Title: GitHub - NVIDIA/DALI: A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Open Graph Title: GitHub - NVIDIA/DALI: A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

X Title: GitHub - NVIDIA/DALI: A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Description: A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. - NVIDIA/DALI

Open Graph Description: A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. - NVIDIA/DALI

X Description: A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. - NVIDIA/DALI

Opengraph URL: https://github.com/NVIDIA/DALI

X: @github

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GPUDirect Storagehttps://developer.nvidia.com/gpudirect-storage
NVIDIA Triton Inference Serverhttps://developer.nvidia.com/nvidia-triton-inference-server
DALI TRITON Backendhttps://github.com/triton-inference-server/dali_backend
https://patch-diff.githubusercontent.com/NVIDIA/DALI#dali-success-stories
During Kaggle computer vision competitionshttps://www.kaggle.com/code/theoviel/rsna-breast-baseline-faster-inference-with-dali
"DALI is one of the best things I have learned in this competition"https://www.kaggle.com/competitions/rsna-breast-cancer-detection/discussion/391059
Lightning Pose - state of the art pose estimation research modelhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168383/
To improve the resource utilization in Advanced Computing Infrastructurehttps://arcwiki.rs.gsu.edu/en/dali/using_nvidia_dali_loader
MLPerf - the industry standard for benchmarking compute and deep learning hardware and softwarehttps://developer.nvidia.com/blog/mlperf-hpc-v1-0-deep-dive-into-optimizations-leading-to-record-setting-nvidia-performance/
"we optimized major models inside eBay with the DALI framework"https://www.nvidia.com/en-us/on-demand/session/gtc24-s62578/
https://patch-diff.githubusercontent.com/NVIDIA/DALI#dali-roadmap
The following issue representshttps://github.com/NVIDIA/DALI/issues/5320
https://patch-diff.githubusercontent.com/NVIDIA/DALI#installing-dali
NVIDIA driverhttps://www.nvidia.com/drivers
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