Alluxio recently announced that it raised $50 million in Series C funding led by a leading global investment firm, according to a press release on the company’s website. The news comes on the heels of the vendor’s April 2020 B round which saw Alluxio secure more than $15 million in venture capital. The round included participation from new and existing investors and brings the company’s total raised to more than $70 million since its founding in 2015. Alluxio also announced new AI and machine learning support for its main platform on the same day.
Alluxio enables data orchestration for compute in any cloud. The product unifies data silos on-prem across any cloud to provide data locality, accessibility, and elasticity. Alluxio is scalable to over a billion files in a single cluster, and its distributed architecture is built on three core components including Alluxio Master (manages file and object metadata), Alluxio Worker (manages node-local space), and Alluxio Client (AI/ML application interface). The product also includes support for hyperscale workloads, flexible APIs, security and monitoring, and management.
Alluxio plans to use the investment to expand its presence in Asia, continue expanding its product capabilities and scale go-to-market initiatives. With the new AI and machine learning support in version 2.7, its product can parallelize data loading, data preprocessing, and training pipelines. Alluxio 2.7 also provides enhanced performance insights and support for open table formats like Apache Hudi and Iceberg. Other new features include data loading at scale, ease of use on Kubernetes, and insight-driven dynamic cache sizing for Presto.
In a media statement on the news, Alluxio Founder and CEO Haoyuan Li said: “To stay competitive, leading companies in all sectors are in their digitalization journey. In this, more and more enterprise architectures have shifted to hybrid and multi-cloud environments for data-driven applications. While this shift allows for more flexibility and agility, it also means having to separate compute from storage, creating new challenges in how data needs to be managed and orchestrated across frameworks, clouds, and storage systems. The funding will help us further catalyze our growth and global expansion plan as we help more businesses solve the most complex data challenges in today’s world.”
Read What’s New in Alluxio 2.7: Enhanced Scalability, Stability and Major Improvements in AI/ML Training Efficiency in the company’s blog to learn more.
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