November 2023 Summaries

CloudConnect is a tool designed to enhance the accessibility and user-friendliness of engineering simulations by integrating seamlessly with Rescale Cloud, particularly for Ansys Mechanical and Ansys Fluent users. It simplifies access to powerful cloud computing resources through an intuitive interface, reducing the learning curve for both experienced and new engineers. By integrating efficiently into existing workflows, CloudConnect allows users to transition from traditional simulation environments to cloud-based ones without disruption, thereby enhancing performance with faster execution of compute-intensive tasks and providing scalable solutions adaptable to various project sizes. This tool also offers cost-efficiency through a pay-as-you-go model, eliminating substantial upfront investments and fostering flexible budget management. CloudConnect is positioned as a catalyst for innovation in engineering simulations, promising to simplify cloud experiences and amplify efficiency.

Rescale, a company renowned for its high-performance computing (HPC) platform, is significantly enhancing R&D workflows for companies like Sumitomo Electric Industries by integrating AI technologies to streamline the development of next-generation materials. The platform offers instant access to over 1,000 pre-installed applications and cutting-edge hardware such as AMD EPYC architectures, enabling optimized engineering and scientific workloads. Rescale's innovative approach, recognized by accolades from Goldman Sachs, includes incorporating physics-informed neural networks (PINNs) and AI-driven engineering to revolutionize product development processes. Upcoming virtual events and software updates further underscore Rescale's commitment to advancing digital engineering and research, providing users with the latest in engineering and scientific computing tools.

Rescale Academic Essentials is a new platform offering tailored for higher education institutions, enabling scientific and engineering research on cutting-edge computing architectures. Provided as a complimentary service, it supports universities in expanding their high-performance computing (HPC) capabilities by integrating cloud resources with existing on-premises systems, thus addressing challenges such as capacity, obsolescence, and specialized hardware access. The platform offers a turnkey multi-cloud solution with over 1,000 pre-installed research applications, ensuring accessibility and ease of use for researchers. It facilitates seamless integration through a user-friendly interface and API, providing granular control over budgets and resource management, and is designed to fit within university budget structures. Rescale Academic Essentials enables universities to leverage cloud infrastructures from leading providers like AWS, Microsoft Azure, and Google Cloud, supporting a wide range of computational needs from small-scale experiments to large-scale studies while maintaining oversight through comprehensive administrative controls.

Rescale has announced the availability of Ansys LS-DYNA and Ansys Fluent workloads on Amazon EC2 Hpc7g instances, which are powered by Arm-based AWS Graviton3E processors. These instances are designed to handle compute- and network-intensive high-performance computing (HPC) tasks, offering improved performance and energy efficiency due to their Arm architecture. The Rescale platform simplifies cloud-based HPC management with features like workflow automation, security measures, and the ability to pay only for used infrastructure, enabling users to focus on research rather than IT management. Hpc7g instances deliver significant performance and cost advantages over previous AWS Graviton generations, including up to 70% better performance and enhanced energy efficiency. Benchmarking tests on Ansys LS-DYNA and Ansys Fluent demonstrated notable speedups in computational performance and efficiency, benefiting from the advanced capabilities of AWS Graviton3E processors and DDR5 memory. Rescale's platform provides additional tools for optimizing and monitoring HPC workloads, further enhancing performance and scalability for demanding applications.