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Deploying a high-performance ML storage infrastructure

Amazon FSx for Lustre powers the most demanding HPC workloads, including ML training, AI, EDA, financial modeling, weather forecasting, and video rendering and transcoding
for tens of thousands of customers.

Enterprises of all sizes have adopted FSx for Lustre because it accelerates compute workloads with shared storage that provides sub-millisecond latencies, up to hundreds of GBs per second of throughput, and millions of IOPS.

In this session, we’ll discuss the benefits of a fully managed Lustre service that runs at scale and is easily configured with a few clicks of the management console. You will learn how to optimize Lustre price and performance with a range of deployment options, including storage type, performance tier, and replication level. We’ll show how customers are using FSx for Lustre to accelerate workloads and augment their compute during peak workload periods.

Previous Video
How to cost-effectively train and deploy generative AI models with AWS Trainium and AWS Inferentia
How to cost-effectively train and deploy generative AI models with AWS Trainium and AWS Inferentia

Learn how AWS Trainium and AWS Inferentia can help you with faster, lower cost, and energy efficient traini...

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Redefining supercomputing on AWS
Redefining supercomputing on AWS

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