On-Demand Videos
In this talk, Ojus Save walks you through a demo of how to build AI applications on Zoom. This demo shows you an AI agent that receives transcript data from RTMS and then decides if it has to create action items based on the transcripts that are received.
In this talk, Sandeep Joshi, , Senior Manager at NVIDIA, shares how to accelerate the data access between GPU and storage for AI. Sandeep will dive into two options: CPU- initiated GPUDirect Storage and GPU-initiated SCADA.
Bin Fan, VP of Technology at Alluxio, introduces how Alluxio, a software layer transparently sits between application and S3 (or other object stores), provides sub-ms time to first byte (TTFB) solution, with up to 45x lower latency.
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ALLUXIO DAY IX 2022
January 21, 2022
Video: Presentation Slides: Industrial Bank's Alluxio Deployment from Alluxio, Inc.
ALLUXIO DAY IX 2022
January 21, 2022
ALLUXIO DAY IX 2022
January 21, 2022
ALLUXIO DAY VIII 2021
December 14, 2021
Feifei Cai & Hao Zhu from WeRide provide an overview of Alluxio + Spark use case, which has been deployed and running in production to accelerate auto data tagging in the autonomous driving development.
ALLUXIO DAY VIII 2021
December 14, 2021
This talk will introduce Apache Iceberg and its place in a modern and open data platform. It will cover the motivation for creating Iceberg at Netflix, as well as the data architecture that Iceberg makes possible.
ALLUXIO DAY VIII 2021
December 14, 2021
This talk provides an overview of the read-after-write data consistent mechanism in the Alluxio system. Alluxio Core Maintainer and Presto Committer share their recent work on Alluxio and Apache Iceberg integration, as well as some recent work from the Presto community on Iceberg connector.
ALLUXIO DAY VI 2021
October 12, 2021
Apache Spark and Alluxio were both born in UC Berkeley’s AMPLab as research projects. As an open source data orchestration platform, Alluxio is able to achieve seamless docking and acceleration of different data sources, and improve the efficiency and fault tolerance of Spark’s big data computing business.
Alluxio has been deployed and running on a large scale managing petabytes level data in the production environment of companies such as Microsoft, Tiktok, Tencent, Singapore Development Bank, China Unicom, etc.
This talk shares the designs and use cases of the Alluxio and Spark integrated solutions, as well as the best practice and “what not to do” in designing and implementing Alluxio distributed systems.
ALLUXIO DAY VI 2021
October 12, 2021
In this talk, we will provide a complete picture of the Hudi platform components, along with their unique design choices. We will then deep dive into two important areas of active development going forward – table metadata management and caching. Specifically, we will discuss gaps in the data lake ecosystem around these aspects and provide strawman design approaches for Hudi aims to solve them going forward.
ALLUXIO DAY VI 2021
October 12, 2021
This talk discusses the opportunities and problems when Uber meets Alluxio. Zhongting from Uber will provide an overview of Uber traffic, cloud, distribution, invalidation, and consistent hashing. Beinan from Alluxio will provide a deep dive of metadata and monitoring metrics.
ALLUXIO DAY VI 2021
October 12, 2021
This talk describes the design of shadow cache, a lightweight component to track the working set size of Alluxio cache. Shadow cache can keep track of the working set size over the past window dynamically, and is implemented by a series of bloom filters. We’ve deployed the shadow cache in Facebook Presto and leverage the result to understand the system bottleneck and help with routing design decisions.
Alluxio’s capabilities as a Data Orchestration framework have encouraged users to onboard more of their data-driven applications to an Alluxio powered data access layer. Driven by strong interests from our open-source community, the core team of Alluxio started to re-design an efficient and transparent way for users to leverage data orchestration through the POSIX interface. This effort has a lot of progress with the collaboration with engineers from Microsoft, Alibaba and Tencent. Particularly, we have introduced a new JNI-based FUSE implementation to support POSIX data access, created a more efficient way to integrate Alluxio with FUSE service, as well as many improvements in relevant data operations like more efficient distributedLoad, optimizations on listing or calculating directories with a massive amount of files, which are common in model training. We will also share our engineering lessons and roadmap in future releases to support Machine Learning applications.
ALLUXIO WEBINAR
Driven by strong interests from our open source community, the Alluxio core engineering team re-designed things to come up with a more efficient and transparent way for users to leverage data orchestration through the POSIX interface. This enables much better performance for ML workloads where data is accessed via the POSIX interface.
In this 20 minute community session, you’ll hear from Lu Qiu, one of Alluxio’s lead engineers on the POSIX implementation project.
In this session, you’ll learn:
- How Alluxio’s new JNI-based FUSE implementation supports more efficient POSIX data access
- How improvements to multiple data operations, including distributedLoad, optimizations on listing or calculating directories with a massive amounts of files, etc., improve performance. In model training
- How these latest enhancements improve performance on TensorFlow and PyTorch training workloads, even with GPU-based training and compute