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
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
Video:
Slack with speakers, experts, and community members.
Join the Alluxio Global Online Meetup Group.
Videos:
Presentation Slides:
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Videos
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.
In this talk, Pritish Udgata from Adobe provides a comprehensive overview of implementation challenges and solutions for LLM agents.
Topic include:
- CoT vs RAG vs Agentic AI
- Anatomy of an agent
- Single Agent with MCP
- Multi Agents with A2A
- Implementation Challenges and Solutions