Having joined the Intel Select Solutions (ISS) Program in June 2020, Penguin Computing™ is now offering customized designs for ISS for HPC and AI Converged Clusters.
More and more, we’re seeing industries utilize the powerful combination of HPC and AI to solve their difficult data-driven problems. These new HPC and AI converged architectures allow them to use machine learning to narrow the scope of the questions they need to ask of their modeling and simulation runs. With these new converged solutions, organizations are able to run both types of workloads in a single platform with technologies optimized for both types of computing.
An increase in new customers who need HPC and AI tools has directly driven demand for convergence. However these new customers don’t necessarily have the same understanding of these technologies that long-time practitioners do. Instead, it is a new generation of scientists and researchers finding unique ways to solve their problems with converged HPC and AI. So, they need solutions that can be easily adopted to accelerate their time to solution and productivity.
Intel Select Solutions for HPC and AI Converged Clusters allows Penguin Computing a baseline architecture to continue to build our customized systems which are complex and built-to-order.
Issues with the supply chain have made things difficult for many, but having a reference architecture can ease the challenges many industries are currently facing. As the complexity of systems increases, acquiring the best parts to evaluate becomes more difficult. Using the Intel Select Solution for HPC and AI Converged Clusters helps Penguin Computing ease supply chain challenges with a validated, verified architecture of a reduced number of components.
With Intel Select Solutions, the ability to build more systems off fewer part numbers gives Penguin Computing greater supply chain efficiency, which allows us to deliver more solutions faster to our customers. Additionally, these engagements provide customers access to the Intel teams for support and provides context and homogeneity in a highly configurable technology environment.