Leverage GPUs Anywhere with Alluxio Enterprise AI 3.2 release

Enables 97%+ GPU utilization, features new native integration with Python ecosystem and more.


ALLUXIO WEBINAR | What’s new in Alluxio Enterprise AI 3.2: Leverage GPU Anywhere, Pythonic Filesystem API, Write Checkpointing and more

In today’s AI-driven world, organizations face unprecedented demands for powerful AI infrastructure to fuel their model training and serving workloads. Performance bottlenecks, cost inefficiencies, and management complexities pose significant challenges for AI platform teams supporting large-scale model training and serving. On July 9, 2024, we introduced Alluxio Enterprise AI 3.2, a groundbreaking solution designed to address these critical issues in the ever-evolving AI landscape.

In this webinar, Shouwei Chen, product manager at Alluxio, will introduce exciting new features of Alluxio Enterprise AI 3.2: leveraging GPU resources anywhere, enhanced I/O performance with 97%+ GPU utilizationk, achieving the same performance as HPC storage, new Python FileSystem API, and other new features, include advanced cache management, rolling upgrades, and CSI failover.

The Alluxio Data Platform powers many of the most critical data-driven applications in the world.

Why Alluxio

Uniquely positioned between compute and storage, Alluxio provides a single pane of glass for enterprises to manage data and AI workloads across diverse infrastructure environments with ease. Alluxio Data Platform has two product offerings – Alluxio Enterprise Data and Alluxio Enterprise AI. Choose the product offering based on your workload’s needs, and enjoy epic performance, seamless data access, simplified data engineering, and cost savings. 

Data and AI Infrastructure Challenges



Trusted by the World’s Leading Organizations

“Alluxio has proven to be a valuable solution in addressing the data access challenges of hybrid cloud for Comcast. It has provided us with faster data access, reduced egress costs, and streamlined data management, resulting in more efficient and effective data value creation for the organization.”

“At Uber, we run Alluxio to accelerate all sorts of business-critical analytics queries at a large scale. Alluxio provides consistent performance in our big data processing use cases. As compute-storage separation continues to be the trend along with containerization in big data, we believe a unified layer …”

“With the introduction of Alluxio, we are seeing better performance, increased manageability, and lowered costs. We plan to implement Alluxio as the default cross-region data access in all clusters in the main data lake.”

End-to-End Machine Learning Pipeline Demo

Alluxio’s Senior Solutions Engineer Tarik Bennett walks through a short end-to-end machine learning pipeline demo with Alluxio integrated. See how Alluxio can be provisioned or mounted as a local folder for the PyTorch dataloader, delivering 90%+ GPU utilization and dramatically accelerating data loading times. 

1. Data Preparation

2. Setting up the Model

3. Setting up the PyTorch Profiler

4. Model Training


PyTorch Model Training & Performance Tuning


Solving the Data Loading Challenge for Machine Learning with Alluxio


Efficient Data Access Strategies For Large-scale AI

Sign-up for a Live Demo or Book a Meeting with a Solutions Engineer