AWS and NVIDIA Boost HPC Solutions for Energy Sector Growth

The energy industry is experiencing a profound shift towards digitalization, resulting in heightened computational requirements, especially concerning high-performance computing (HPC) applications. As noted in the NVIDIA Technical Blog, this evolution is propelled by cutting-edge seismic imaging techniques, including reverse time migration (RTM) and full waveform inversion (FWI), that demand significant computational power. These innovative methods can lead to a substantial increase in workloads, underscoring the necessity for scalable computing solutions.

Cloud Solutions for Energy HPC

Cloud computing stands out as a promising solution to these challenges, providing both flexibility and scalability. Nonetheless, to optimize cloud efficiency and manage costs, it is imperative to modernize current HPC applications. The AWS Energy HPC Orchestrator, developed in partnership with AWS and key energy firms, offers a comprehensive environment to address these issues. It emphasizes interoperability among processing modules while providing cloud-native HPC templates to facilitate the modernization of engineering efforts.

AWS Energy HPC Orchestrator

The AWS Energy HPC Orchestrator includes crucial elements such as the orchestration of multiple HPC applications via a unified storage system, enterprise capabilities for user and data management, and a marketplace for distributing compatible HPC applications. Furthermore, it establishes data standards to guarantee interoperability among applications.

NVIDIA Energy Samples Integration

The integration of NVIDIA Energy Samples with the AWS Energy HPC Orchestrator demonstrates how cloud-native solutions can meet the energy industry’s computational requirements. NVIDIA Energy Samples, which feature essential algorithms such as RTM, are fine-tuned for NVIDIA GPUs, allowing geophysicists to implement high-performance solutions. While not suited for production, these samples lay the groundwork for customization and performance enhancements.

Optimizing Seismic Processing

The AWS RTM template, part of the AWS Energy HPC Orchestrator, serves to revolutionize conventional seismic processing into a modern, cloud-native application. This configuration utilizes AWS services to improve scalability and operational efficiency. The execution of the RTM algorithm is segmented into microservices, with each focusing on a distinct task, ensuring both resilience and scalability.

Future Implications

The partnership between AWS and NVIDIA illustrates the potential of cloud-native solutions to tackle the computational obstacles faced by the energy sector. As digital transformation progresses, embracing integrated cloud-based systems will be vital for addressing complex computational challenges. This collaboration not only enhances performance but also provides cost-effective alternatives, setting the stage for future advancements in HPC within the energy industry.

For further insights, check out the NVIDIA Technical Blog.

Image source: Shutterstock