122: Back to the Future
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The Use of Remote Machine Learning for Image Processing for Immich
Remote machine learning allows for efficient image processing without uploading data to big tech companies like Google and Apple. By utilizing remote GPU hardware acceleration, tasks that traditionally required significant resources can now be completed faster and more effectively. This approach enables individuals to run machine learning workloads on powerful GPUs located in different systems or even in different geographical locations, enhancing performance and scalability. This method optimizes image processing tasks, making it possible to process large image libraries efficiently and effectively without the need for continuous local GPU resources.
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