SAN MATEO, Calif., May 20, 2025 (GLOBE NEWSWIRE) -- Alluxio, the AI and data acceleration platform, today announced the release of Alluxio Enterprise AI 3.6, delivering breakthrough capabilities for model distribution, model training checkpoint writing optimization, and enhanced multi-tenancy support. This latest version enables organizations to dramatically accelerate AI model deployment cycles, reduce training time, and ensure seamless data access across cloud environments.
AI-driven organizations face increasing challenges as model sizes grow and inference infrastructures span multiple regions. Distributing large models from training to production environments introduces significant latency issues and escalating cloud costs, while lengthy checkpoint writing processes substantially slow down the model training cycle.
“We are excited to announce that we have extended our AI acceleration platform beyond model training to also accelerate and simplify the process of distributing AI models to production inference serving environments,” said Haoyuan (HY) Li, Founder and CEO of Alluxio. “By collaborating with customers at the forefront of AI, we continue to push the boundaries of what anyone thought possible just a year ago.”
Alluxio Enterprise AI version 3.6 includes the following key features:
This release also introduces several enhancements to Alluxio administrators:
Availability
Alluxio Enterprise AI version 3.6 is available for download here: https://www.alluxio.io/demo
Supporting Resources
About Alluxio
Alluxio is a leading provider of accelerated data access platforms for AI workloads. Alluxio’s distributed caching layer accelerates AI and data-intensive workloads by enabling high-speed data access across diverse storage systems. By creating a global namespace, Alluxio unifies data from multiple sources—on-premises and in the cloud—into a single, logical view, eliminating the need for data duplication or complex data movement.
Designed for scalability and performance, Alluxio brings data closer to compute frameworks like TensorFlow, PyTorch, and Spark, significantly reducing I/O bottlenecks and latency. Its intelligent caching, data locality optimization, and seamless integration with modern data platforms make it a powerful solution for teams building and scaling AI pipelines across hybrid and multi-cloud environments. Backed by leading investors, Alluxio powers technology, internet, financial services, and telecom companies, including 9 out of the top 10 internet companies globally. To learn more, visit www.alluxio.io.
Media Contact:
Beth Winkowski
Winkowski Public Relations, LLC for Alluxio
978-649-7189
beth@alluxio.com