AMD ROCm 6.1 Improves AI/HPC Development

The most recent platform upgrade from AMD, ROCm 6.1, adds a host of new features for both academics and developers

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The API fully utilises all of the VCNs on a GPU device by permitting the development of numerous decoder instances that can run concurrently

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The capacity to process in parallel ensures that even large-volume video streams can be simultaneously decoded and processed

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Its purpose is to speed up deep learning neural networks

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A new Torch-MIGraphX library is also included in ROCm 6.1, allowing the PyTorch workflows to directly incorporate MIGraphX capabilities

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AMD’s open-source MIOpen deep learning primitives library is made especially to improve GPU performance

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The goal of MIOpen’s most recent upgrades is to improve performance, especially for convolutions and inference

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AMD wants to provide you with the newest in high-performance computing through the ROCm platform For more details govindhtech.com

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