In today’s AI-driven world, organizations face unprecedented demands for powerful AI infrastructure to fuel their model training and serving workloads. Performance bottlenecks, cost inefficiencies, and management complexities pose significant challenges for AI platform teams supporting large-scale model training and serving. On July 9, 2024, we introduced Alluxio Enterprise AI 3.2, a groundbreaking solution designed to address these critical issues in the ever-evolving AI landscape.
In this webinar, Shouwei Chen introduced exciting new features of Alluxio Enterprise AI 3.2:
- Leveraging GPU resources anywhere accessing remote data with the same local performance
- Enhanced I/O performance with 97%+ GPU utilization for popular language model training benchmarks
- Achieving the same performance as HPC storage on existing data lake without additional HPC storage infrastructure
- New Python FileSystem API to seamlessly integrate with Python applications like Ray
- Other new features, include advanced cache management, rolling upgrades, and CSI failover
In today’s AI-driven world, organizations face unprecedented demands for powerful AI infrastructure to fuel their model training and serving workloads. Performance bottlenecks, cost inefficiencies, and management complexities pose significant challenges for AI platform teams supporting large-scale model training and serving. On July 9, 2024, we introduced Alluxio Enterprise AI 3.2, a groundbreaking solution designed to address these critical issues in the ever-evolving AI landscape.
In this webinar, Shouwei Chen introduced exciting new features of Alluxio Enterprise AI 3.2:
- Leveraging GPU resources anywhere accessing remote data with the same local performance
- Enhanced I/O performance with 97%+ GPU utilization for popular language model training benchmarks
- Achieving the same performance as HPC storage on existing data lake without additional HPC storage infrastructure
- New Python FileSystem API to seamlessly integrate with Python applications like Ray
- Other new features, include advanced cache management, rolling upgrades, and CSI failover
Video:
Presentation slides:
In today’s AI-driven world, organizations face unprecedented demands for powerful AI infrastructure to fuel their model training and serving workloads. Performance bottlenecks, cost inefficiencies, and management complexities pose significant challenges for AI platform teams supporting large-scale model training and serving. On July 9, 2024, we introduced Alluxio Enterprise AI 3.2, a groundbreaking solution designed to address these critical issues in the ever-evolving AI landscape.
In this webinar, Shouwei Chen introduced exciting new features of Alluxio Enterprise AI 3.2:
- Leveraging GPU resources anywhere accessing remote data with the same local performance
- Enhanced I/O performance with 97%+ GPU utilization for popular language model training benchmarks
- Achieving the same performance as HPC storage on existing data lake without additional HPC storage infrastructure
- New Python FileSystem API to seamlessly integrate with Python applications like Ray
- Other new features, include advanced cache management, rolling upgrades, and CSI failover
Videos:
Presentation Slides:
Complete the form below to access the full overview:
.png)
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.