Session will present data caching strategies for data analytics and AI; attend demonstration of its open source data platform in booth #29
SAN MATEO, CA – June 19, 2023 - Alluxio, the developer of the open source data platform that simplifies the management of large-scale analytics and AI/ML applications, today announced its participation at Data + AI Summit, taking place June 26 – 29, 2023 at Moscone Center, San Francisco, CA and virtually. Alluxio will also showcase its open source data platform in booth #29 during the event.
Alluxio Session at Data + AI Summit
Wednesday, June 28 at 3:30 PM PDT – “Data Caching Strategies For Data Analytics And AI,” by Beinan Wang, Senior Staff Software Engineer, Alluxio; and Chunxu Tang, Research Scientist, Alluxio
The increasing popularity of data analytics and artificial intelligence (AI) has led to a dramatic increase in the volume of data being used in these fields, creating a growing need for an enhanced computational capability. Cache plays a crucial role as an accelerator for data and AI computations, but it is important to note that these domains have different data access patterns, requiring different cache strategies. In this session, attendees will benefit from observations about data access patterns in the analytical SQL and AI training domains based on practical experience with large-scale systems. Beinan and Chunxu will discuss the evaluation results of various caching strategies for analytical SQL and AI and provide caching recommendations for different use cases. Over the years, they have learned some best practices from big internet companies about the following aspects of their journey:
- Traffic pattern for analytical SQL and cache strategy recommendation
- Traffic pattern for AI training and how to measure the cache efficiency for different AI training process
- Cache capacity planning based on real-time metrics of the working set
- Adaptive caching admission and eviction for uncertain traffic patterns
The Alluxio Exhibit
Alluxio is a Bronze Sponsor of Data + AI Summit. In booth #29, Alluxio will be offering free architecture assessments and cloud savings estimates. To book your assessment, register here and a Solutions Engineer will reach out to you to confirm a time slot. Alluxio will also be giving product demos and use case overviews at booth #29. Stop by to play some games during break time for a chance to win a drone!
Data + AI Summit registration is open here. Get a discounted full conference pass with this code: SPCUSrodttusd.
Tweet this: @Alluxio announces its participation at #DataAISummit #cloud #opensource #analytics #AI https://bit.ly/3Mw77io
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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Alluxio provides a powerful unified framework for managing AI workloads across various distributed environments. By leveraging its capabilities, organizations can optimize their data access and processing, ensuring that AI models are trained efficiently and effectively.
Alluxio Enterprise AI serves as a robust distributed filesystem designed to streamline the management of AI workloads across various infrastructure environments. This platform enables seamless data sharing across business units and geographical locations, effectively eliminating the bottlenecks typically associated with data lake silos.