Energy efficiency is driving many HPC users to the Cloud
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With the latest global shifts, energy efficiency has been propelled to the forefront of data centre priorities.
As new use cases for artificial intelligence (AI) and large language models (LLMs) continue to emerge, the demand for high-performance computing (HPC) resources increase. Combined with rising energy prices globally, HPC users are looking for ways to optimise HPC workloads, while keeping energy efficiency goals in mind.
Addressing the concerns of power-constrained data centres requires a holistic and adaptive approach to ensure HPC workloads are run efficiently.
In this whitepaper, Hyperion Research shows how with the proper expertise and guidance on building, configuring, and operating cloud resources, HPC users can utilise the energy-efficient accelerated compute from Amazon Web Services (AWS) and NVIDIA to run more workloads, faster.
With access to the latest NVIDIA GPUs, HPC users can utilise full-stack accelerated computing to do more computational work while saving energy and time.
Remaining compliant with energy regulations and policies is a concern for most organisations. The potential reduction in energy usage, with accelerated-HPC in the cloud, can help organisations align with the growing emphasis on energy-efficient computing.
Download the Hyperion Research whitepaper to learn more.
