Advancing HPC and AI Energy Efficiency with AWS and NVIDIA
Data center resources face increasing strain from escalating energy demands, particularly for large-scale HPC and generative AI workloads. Innovative solutions include cloud-based accelerated computing to sustain operations while minimizing environmental impact.
In this video, Srinivas Tadepalli of AWS explains how to address HPC and generative AI workload needs, shares customer use cases, and offers three ways to achieve energy efficiency.
Learn more about energy efficiency for HPC workloads on AWS with accelerated computing from NVIDIA: https://nvda.ws/3vPNEDL
00:00 – Introduction
00:19 - Customer Use Cases: CFD and Healthcare Life Sciences
00:58 - Addressing HPC and Generative AI Workload Needs
1:34 - Three Ways to Achieve Energy Efficiency
Join the NVIDIA Developer Program: https://nvda.ws/3OhiXfl
Read and subscribe to the NVIDIA Technical Blog: https://nvda.ws/3XHae9F
#EnergyEfficiency #HPC #Datacenter #cloudcomputing #GenerativeAI
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