Traditional high-performance computing (HPC) is increasingly facing challenges, including high energy consumption, complex management, escalating costs, and limited performance.
According to Hyperion Research, as demand for data-intensive applications like AI and large language models (LLMs) grows, the HPC landscape is shifting significantly, with the cloud market for HPC workloads projected to reach $11.5 billion by 2026.
In this whitepaper, Hyperion Research highlights how Amazon Web Services (AWS) and NVIDIA are helping organizations overcome these challenges and run HPC workloads on accelerated computing in the cloud, to process more workloads faster and with increased energy efficiency.
Download your copy to gain insights into:
- The efficiency of AWS infrastructure powered by NVIDIA GPUs
- How accelerated computing on AWS and NVIDIA can speed up simulations, model training, customization, and deployment
- The potential to increase energy efficiency for HPC workloads across industries