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| Unleashing Faster and More Efficient AI Research with the University of Surrey |
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| To support its mission of being a global leader in research and innovation, the University of Surrey has long invested in state-of-the-art Computer Vision and AI research. The cutting-edge experimental platforms they use, combined with the advent of big data and AI, have increased the amount of data produced and the need to support I/O heavy workloads. |
| At this informal fireside chat, please join Helen Cooper, Lab Facilities Manager, from the Surrey Institute for People-Centred AI, as she shares how they are: |
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Improving the experience for researchers by enabling a huge quantity of data to be accessed and processed up to 8x faster, without penalties for using small files |
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Reducing their technical debt by enabling researchers to focus on the algorithms instead of the computer architecture |
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Lowering their environmental impact by making more efficient use of their GPUs |
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Tackling data lifecycle management challenges and eliminating the need for frequent tuning |
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