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"Energy Efficiency Drives Many HPC Users to the Cloud"

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Energy efficiency drives HPC to the cloud 

HPC users are starting to prioritize energy efficiency in their workload execution. 

According to Hyperion Research, the main factors driving this change include:

• Rising costs of energy across the globe 
• Increased demand for HPC resources

As the need for new and expanding data-intensive workloads that require massive datasets increase, so too does the demand for high-performance computing (HPC). This process takes time and uses large amounts of energy and despite the rising cost of energy, HPC data center operators are expected to accommodate these energy-intensive workloads.

Organizations are increasingly recognizing that migrating HPC workloads to the cloud has the potential to assist in transitioning to more energy efficient HPC infrastructure.

As well as enhanced energy efficiency, moving HPC workloads to the cloud also offers:

• Ability to scale compute capacity dynamically 
• Access to the latest GPU-accelerated computing
• An optimized way of addressing the complexities associated with HPC workloads

Included in this Hyperion Research whitepaper is a technology spotlight on Amazon Web Services (AWS) and NVIDIA working together to provide performant and easy-to-use solutions to enable organizations to run HPC workloads on an accelerated computing platform to increase energy efficiency.

The future of HPC lies in navigating the complexities of running much larger workloads, reducing energy demands, embracing cloud solutions for appropriate workloads, and fostering collaborations that propel the industry toward energy efficiency in the face of evolving challenges.

Download the Hyperion Research whitepaper to learn more. 

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