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resources, including 2 HPC clusters with a combined 180,000 cores, 600 GPUs, and 60PB of raw storage. FRFs may be eligible for subsidized housing within walking distance of the CCA. These positions will be
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research budget and have access to the Flatiron Institute’s powerful scientific computing resources, including 2 HPC clusters with a combined 180,000 cores, 600 GPUs and 60PB of raw storage. FSRFs may be
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· Experience with multi-GPU or distributed training is a plus · Ability to work independently as well as part of an interdisciplinary team in a fast-paced environment, while making necessary connections
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” resources and GPU-focused resources, and a massive in-memory database cluster. This position will support the VACC computing and storage hardware infrastructure, as well as research computing software such as
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scalable compute solutions integrating CPU/GPU resources, high-speed interconnects, parallel storage, scheduling, and supporting infrastructure. Establish technical standards, architectures, and engineering
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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port scientific applications to maximize performance across CPU, GPU, memory, storage, and I/O. Contribute technical expertise to faculty projects through the RCC Consultant Partnership Program and other
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 21 hours ago
A100/H100 GPUs, and 8.5 PB of attached research storage; https://docs.itrss.umsystem.edu/pub/hpc/hellbender). A wide variety of additional research instrumentation is available on campus at the MU
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you will operate what you design. We expect and support open-sourcing and publishing this work. The environment A large NVIDIA GPU cluster (B300/H200/H100 class) running self-hosted open-weight models
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trading strategies. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we