Amos Storkey from the University of Edinburgh gave this talk at HiPEAC CSW Edinburgh. “Storkey explores the demands of getting deep learning software to work on embedded devices, with challenges including real-time requirements, memory availabilit and the energy budget. He discusses work undertaken within the context of the European Union-funded Bonseyes project.”
Many industries are starting to run HPC in the cloud. Find out how GPU-accelerated compute, from AWS and NVIDIA, is helping organizations run HPC workloads and AI/ML jobs faster, in a more energy-efficient way.
The high-performance computing (HPC) market is witnessing a notable shift towards the cloud, partially driven by the benefits of enhanced energy efficiency. According to Hyperion Research nearly every organization running HPC workloads is either already using or investigating the cloud to accelerate application performance, with the cloud market for HPC workloads forecast to reach $11.5 […]
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