The DBS team was tasked to solve their compute capacity problem. They wanted to provide faster insights and analyze data for a range of use cases but didn’t have the ability to scale compute elastically on-prem.
One use case that challenged them was customer call analysis. With the millions of customer calls they get every year, DBS manages over 50TB of customer data and audio files. This data needed to reside on-prem for compliance reasons. With on-prem compute limitations, they looked to the public cloud to analyze this data and selected “zero-copy” bursting as the best approach.
In this tech talk, we’ll discuss why DBS turned to Alluxio’s bursting approach to help solve these challenges. Vitaliy Baklikov, SVP at DBS, will discuss:
- Challenges and inefficiencies with their prior data stack
- Moving to a disaggregated data stack using Alluxio
- Bursting data without persisting in the cloud
- An overview of Alluxio’s “zero-copy” hybrid bursting solution
The DBS team was tasked to solve their compute capacity problem. They wanted to provide faster insights and analyze data for a range of use cases but didn’t have the ability to scale compute elastically on-prem.
One use case that challenged them was customer call analysis. With the millions of customer calls they get every year, DBS manages over 50TB of customer data and audio files. This data needed to reside on-prem for compliance reasons. With on-prem compute limitations, they looked to the public cloud to analyze this data and selected “zero-copy” bursting as the best approach.
In this tech talk, we’ll discuss why DBS turned to Alluxio’s bursting approach to help solve these challenges. Vitaliy Baklikov, SVP at DBS, will discuss:
- Challenges and inefficiencies with their prior data stack
- Moving to a disaggregated data stack using Alluxio
- Bursting data without persisting in the cloud
- An overview of Alluxio’s “zero-copy” hybrid bursting solution
Videos:
Presentation Slides:
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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.