SAN MATEO, CA – June 15, 2022 - Alluxio, the developer of the open source data orchestration platform for data driven workloads such as large-scale analytics and AI/ML, today announced it will present a session at the Linux Foundation’s Open Source Summit about strategies for building super-contributors in an open source community. The event is being held June 20 – 24 in Austin, TX and virtual.
Session Title: “Building Super-Contributors in Alluxio Open Source Community”
Session Time: Friday, June 24 at 2:50 pm – 3:20 pm CT
Session Presenters: Bin Fan, Founding Engineer & VP of Open Source, Alluxio; Jasmine Wang, Community Manager & DevRel, Alluxio
Session Details: The lack of community engagement is one of the most significant barriers to the survival of open source projects. The Alluxio open source community experimented with different approaches to nurture the community. In this talk, Bin Fan will share the story and findings of engaging the Alluxio community over the past six years. For example, rather than simply point-scoring and giving badges, introducing gamification turns very effective to understanding and influencing human behaviors. There is a delicate balance of triggers, ability, and motivation to find the “happy path” for contributors – the perfect amount of challenge and competition to keep them interested while preventing boredom. He will also discuss other pillars of community building (e.g., localization) and how to bring together the different pillars to build an everlasting and vibrant community. With innovative techniques, open source projects can create deeper engagements and turn ordinary community members into super-contributors.
To register for Open Source Summit, please go to the event’s registration page to purchase a registration.
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About Alluxio
Alluxio, a leading provider of the high performance data platform for analytics and AI, accelerates time-to-value of data and AI initiatives and maximizes infrastructure ROI. Uniquely positioned at the intersection of compute and storage systems, Alluxio has a universal view of workloads on the data platform across stages of a data pipeline. This enables Alluxio to provide high performance data access regardless of where the data resides, simplify data engineering, optimize GPU utilization, and reduce cloud and storage costs. With Alluxio, organizations can achieve magnitudes faster model training and serving without the need for specialized storage, and build AI infrastructure on existing data lakes. 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
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News & Press
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.
Alluxio announced the release of Alluxio Enterprise AI 3.6, delivering advanced capabilities for model distribution, model training checkpoint writing optimization, and enhanced multi-tenancy support. This latest version enables organizations to accelerate AI model deployment cycles, reduce training time, and ensure seamless data access across cloud environments. New features in this release include high-performance model distribution, fast model training checkpoint writing, a new management console, and more.