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. Experience in hardware–software integration, GPU/FPGA acceleration, or translation of research into prototype systems would be an added advantage. Ability to work independently while contributing effectively
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ambitious investments in fundamental AI research. BOLD also has access to national compute resources (3M GPU hours on Isambard for the first 1.5 years) and we are working hard to get to 5000 H100 equivalent
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ambitious investments in fundamental AI research. BOLD also has access to national compute resources (3M GPU hours on Isambard for the first 1.5 years) and we are working hard to get to 5000 H100 equivalent
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archiving solutions to collaboration and analytics tools. ARC also delivers Baskerville; a leading GPU accelerated National Compute Resource (NCR) and supports researchers using specialist regional and
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(including numerical optimisation, variational methods and MCMC sampling) C3 State-of-the-art deep learning (including transformers, graph neural networks and normalising flows) C4 Use of GPU programming and
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support the operation and development of the Institute’s Linux-based compute infrastructure, including CPU and GPU clusters, storage systems, data centre hardware, networking interfaces, software
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-performance computing, GPU acceleration, automated benchmarking or large-scale numerical workflows. 4. Evidence of self-motivated contributing to collaborative research outputs, open-source software, preprints
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scanning, virtual reality and on-demand wide-area surveillance video feeds. In addition Durham University hosts the UK regional supercomputer Bede (128 NVIDIA V100 + 3 NVIDIA Hopper GPUs) in
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to a postdoctoral post, including a rapidly growing AI security lab, a large-scale GPU datacenter containing state-of-the-art foundation models, as well as direct collaboration with an award-winning AI
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science for the benefit of humanity. Access to state-of-the-art facilities, including extensive departmental CPU/GPU computing resources and Imperial’s Research Computing Service. A vibrant