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
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
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Videos
Deepseek’s recent announcement of the Fire-flyer File System (3FS) has sparked excitement across the AI infra community, promising a breakthrough in how machine learning models access and process data.
In this webinar, an expert in distributed systems and AI infrastructure will take you inside Deepseek 3FS, the purpose-built file system for handling large files and high-bandwidth workloads. We’ll break down how 3FS optimizes data access and speeds up AI workloads as well as the design tradeoffs made to maximize throughput for AI workloads.
This webinar you’ll learn about how 3FS works under the hood, including:
✅ The system architecture
✅ Core software components
✅ Read/write flows
✅ Data distribution/placement algorithms
✅ Cluster/node management and disaster recovery
Whether you’re an AI researcher, ML engineer, or infrastructure architect, this deep dive will give you the technical insights you need to determine if 3FS is the right solution for you.