Tag: gpu
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NumPy API on a GPU?
NumPy API on a GPU? It’s here already from Nvidia and it’s called cuNumeric. The post NumPy API on a GPU? appeared first on Towards Data Science. Thomas Reid Go to original source
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10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC
10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC Using GPU acceleration to speed up Bayesian Inference from months to minutes… The post 10,000x Faster Bayesian Inference: Multi-GPU SVI vs. Traditional MCMC appeared first on Towards Data Science. Derek Tran Go to original source
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Use PyTorch to Easily Access Your GPU
Use PyTorch to Easily Access Your GPU Let’s say you are lucky enough to have access to a system with an Nvidia Graphical Processing Unit (Gpu). Did you know there is an absurdly easy method to use your GPU’s capabilities using a Python library intended and predominantly used for machine learning (ML) applications? Don’t worry…
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Breaking the Bottleneck: GPU-Optimised Video Processing for Deep Learning
Breaking the Bottleneck: GPU-Optimised Video Processing for Deep Learning Deep Learning (DL) applications often require processing video data for tasks such as object detection, classification, and segmentation. However, conventional video processing pipelines are typically inefficient for deep learning inference, leading to performance bottlenecks. In this post will leverage PyTorch and FFmpeg with NVIDIA hardware acceleration…