The HPC industry is creating immense amounts of unstructured data each year and a portion of HPC system configurations are being reshaped to enable the community to extract useful information from that data. Traditionally, these systems were predominantly CPU based, but with the explosive growth in the amount and different types of data being created, along with the evolution of more complex codes, these traditional systems don’t meet all the requirements of today’s data intensive HPC workloads. As these types of codes have become more complex and parallel, there has been a growing use of heterogeneous computing systems with different mixes of accelerators including discrete GPUs and FPGAs. The advancements of GPU capabilities over the last decade have allowed them to be used for a growing number of these parallel codes like the ones being used for training neural networks for deep learning. Scientists and researchers across the globe are now using accelerators to more efficiently process HPC parallel codes across several industries including life sciences, energy, financial, automotive and aerospace, academics, government and defense.
The Radeon Instinct MI25, combined with AMD’s new “Zen”-based Epyc server CPUs and our revolutionary ROCm open software platform provide a progressive approach to open heterogeneous compute from the metal forward. AMD’s next-generation HPC solutions are designed to deliver maximum compute density and performance per node with the efficiency required to handle today’s massively parallel data-intensive codes; as well as, to provide a powerful, flexible solution for general purpose HPC deployments. The ROCm software platform brings a scalable HPC-class solution that provides fully open-source Linux drivers, HCC compilers, tools and libraries to give scientists and researchers system control down to the metal. The Radeon Instinct’s open ecosystem approach supports various architectures including x86, Power8 and ARM, along with industry standard interconnect technologies providing customers with the ability to design optimized HPC systems for a new era of heterogeneous compute that embraces the HPC community’s open approach to scientific advancement.