Maximizing Efficiency and Reducing S3 Egress Cost with Hybrid Cloud Data Access
Accelerate AWS Workloads with Alluxio
Getting started with Alluxio on AWS for epic performance, low latency, and reduced S3 cloud costs
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Deploy Alluxio, the high performance data access layer for machine learning, analytics, and AI, in your existing AWS cloud environment for boosted GPU utilization, unified data access, faster model training, and lower cloud costs.
Alluxio Deployment in a Multi-Region Environment
For a multi-region data environment in AWS, you should deploy Alluxio in the region that the analytics or AI/ML workloads are running in. Alluxio can improve the performance of data access requests when it caches data on-demand, reducing egress cost and S3 API costs at the same time.
If you’re using Alluxio to improve data access performance in a single region, directly run Alluxio in that same region as shown in the below diagram.
Alluxio Deployment on EC2 Instances
Alluxio provides an AWS CloudFormation template to launch Alluxio master node and worker nodes on AWS infrastructure and creates resources include: EC2 Instances, Auto Scaling Group for Alluxio Workers, Security Group rules for intra-node communications and optional external access, and integration with your existing VPC and subnets.
Running Alluxio on EMR / Alluxio AWS EMR Bootstrap Integration
Alluxio EMR bootstrap provides an easy and flexible way to integrate Alluxio with various compute frameworks. Enabling data locality and accessibility for major compute frameworks like PyTorch, Ray, Triono, Presto, and Spark on S3, Alluxio brings comparable performance to HPC storage with scalability, availability, and faster time to insights.
Learn moreAlluxio accelerates AI workloads for enterprises across the globe
Why Alluxio + AWS
Navigating cloud costs can be complex and unpredictable. Alluxio offers intelligent data management that enables up to 90% of cloud storage cost savings.
Unified Data Access across Regions
Alluxio enables fast and on-demand data loading instead of replicating training data to local storage, eliminating the need to replicate data from multiple storage silos to the main data lake.
Significantly reduced S3 Egress Costs
Alluxio minimizes network egress costs by caching data, eliminating the need to fetch data from cross-region data lakes repeatedly, which results in ~50% reduction in S3 Egress cost.
Increase GPU Utilization with Existing Data Lake
Alluxio increases your GPU utilization to up to 90%. It brings data up to speed with GPU cycles and accelerates model training and model serving. Alluxio also helps you turn commodity storage into as performant as specialized storage at a lower cost.
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