Find the Right HPC Cloud Architecture for Your Needs
Blog post from Rescale
The shift to cloud-based high performance computing (HPC) is transforming digital research and development (R&D) by offering virtually unlimited computing capacity, flexibility, and cost efficiency, surpassing the limitations of traditional data centers. As the demand for HPC surges, the growth of specialized chips, such as GPUs, FPGAs, and ASICs, is reshaping computational performance by providing task-specific processing power, which is crucial for applications in AI, machine learning, and big data analytics. However, this surge in chip diversity creates complexity in selecting optimal hardware for specific tasks. Rescale addresses this challenge with its Performance Profiles, a tool that automates the process of identifying the best chip types for specific R&D needs, based on actual performance benchmarks, thus allowing organizations to enhance the efficiency and cost-effectiveness of their simulations. By leveraging Performance Profiles, companies like Kairos Power have realized significant improvements in cost-to-speed ratios, emphasizing the importance of informed hardware selection in driving innovation and maintaining competitive advantages in the rapidly evolving HPC landscape.