The rise of compute intensive workloads and the adoption of the cloud has driven organizations to adopt a decoupled architecture for modern workloads – one in which compute scales independently from storage. While this enables scaling elasticity, it introduces new problems – how do you co-locate data with compute, how do you unify data across multiple remote clouds, how do you keep storage and I/O service costs down and many more.
Enter Alluxio, a virtual unified file system, which sits between compute and storage that allows you to realize the benefits of a hybrid cloud architecture with the same performance and lower costs.
In this webinar, we will discuss:
- Why leading enterprises are adopting hybrid cloud architectures with compute and storage disaggregated
- The new challenges that this new paradigm introduces
- An introduction to Alluxio and the unified data solution it provides for hybrid environments
The rise of compute intensive workloads and the adoption of the cloud has driven organizations to adopt a decoupled architecture for modern workloads – one in which compute scales independently from storage. While this enables scaling elasticity, it introduces new problems – how do you co-locate data with compute, how do you unify data across multiple remote clouds, how do you keep storage and I/O service costs down and many more.
Enter Alluxio, a virtual unified file system, which sits between compute and storage that allows you to realize the benefits of a hybrid cloud architecture with the same performance and lower costs.
In this webinar, we will discuss:
- Why leading enterprises are adopting hybrid cloud architectures with compute and storage disaggregated
- The new challenges that this new paradigm introduces
- An introduction to Alluxio and the unified data solution it provides for hybrid environments
Videos:
Presentation Slides:
Complete the form below to access the full overview:
.png)
Videos
In this talk, Bin Fan, VP of Technology at Alluxio, explores how to enable efficient data access across distributed GPU infrastructure, achieving low-latency performance for feature stores and RAG workloads.