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:
Amelia Wong
amelia@alluxio.com
.png)
News & Press
SAN MATEO, Calif. — JUNE 3, 2026 — Alluxio, the developer of a leading large-scale caching solution for AI, today announced a solution designed to help organizations maximize GPU utilization and improve the efficiency of AI workloads on Oracle Cloud Infrastructure (OCI). By combining Alluxio’s data acceleration capabilities with OCI’s high-performance AI infrastructure, organizations can reduce data bottlenecks and keep GPUs continuously fed with data for training and inference.
SAN MATEO, Calif., Aug. 27, 2025 -- Alluxio, the AI and data-acceleration platform, today announced strong results for the second quarter of its 2026 fiscal year. During the quarter, the company launched Alluxio Enterprise AI 3.7, a major release that delivers sub-millisecond TTFB (time to first byte) latency for AI workloads accessing data on cloud storage.
Alluxio, supplier of open source virtual distributed file systems, announced Alluxio Enterprise AI 3.6. This delivers capabilities for model distribution, model training checkpoint writing optimization, and enhanced multi-tenancy support. It can, we’re told, accelerate AI model deployment cycles, reduce training time, and ensure data access across cloud environments. The new release uses Alluxio Distributed Cache to accelerate model distribution workloads; by placing the cache in each region, model files need only be copied from the Model Repository to the Alluxio Distributed Cache once per region rather than once per server.