Join us with David Loshin, President of Knowledge Integrity, and Sridhar Venkatesh, SVP of Product at Alluxio, to learn more about the infrastructure hurdles associated with AI/ML model training and deployment and how to overcome them. Topics include:
- The challenges of AI and model training
- GPU utilization in machine learning and the need for specialized hardware
- Managing data access and maintaining a source of truth in data lakes
- Best practices for optimizing ML training
Join us with David Loshin, President of Knowledge Integrity, and Sridhar Venkatesh, SVP of Product at Alluxio, to learn more about the infrastructure hurdles associated with AI/ML model training and deployment and how to overcome them. Topics include:
- The challenges of AI and model training
- GPU utilization in machine learning and the need for specialized hardware
- Managing data access and maintaining a source of truth in data lakes
- Best practices for optimizing ML training
Videos:
Presentation Slides:
Complete the form below to access the full overview:
.png)
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