5 Winning Strategies to Accelerate Engineering: Cloud HPC is Unlimited (Part 2 of 5)

The blog post introduces a series discussing the evolution of High-Performance Computing (HPC) from traditional, inflexible models to more adaptable cloud-based approaches. Traditional HPC systems are limited by their tightly coupled software and hardware configurations, making them costly and challenging to adapt to different infrastructures, software versions, or cloud providers. In contrast, cloud-based HPC offers a vast array of options, including diverse architectures like x86, GPU, and FPGA, and supports various deployment models such as virtual, containerized, or bare metal. This flexibility allows organizations to optimize performance and cost for engineering workloads by choosing the most suitable architecture, application, or cloud provider. Rescale's intelligent cloud HPC platform exemplifies this adaptability by enabling users to run any workload type on their preferred cloud infrastructure and supports all major cloud providers. The author, Garrett VanLee, emphasizes the convergence of supercomputing, HPC, and AI simulation models as critical trends driving scientific and industrial advancements.