Shawn Sun from Alluxio will present the journey of using Alluxio as the storage system for Kubernetes through Container Storage Interface (CSI) plugin and Alluxio CSI driver. This talk will cover the challenges we are facing with traditional setup in the AI/ML training jobs, and how Alluxio CSI driver manages to address them. It will also talk about a recent change to the driver that made it more sturdy and robust.
ALLUXIO DAY XII 2022
April 28, 2022
Shawn Sun from Alluxio will present the journey of using Alluxio as the storage system for Kubernetes through Container Storage Interface (CSI) plugin and Alluxio CSI driver. This talk will cover the challenges we are facing with traditional setup in the AI/ML training jobs, and how Alluxio CSI driver manages to address them. It will also talk about a recent change to the driver that made it more sturdy and robust.
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Videos
TorchTitan is a proof-of-concept for Large-scale LLM training using native PyTorch. It is a repo that showcases PyTorch's latest distributed training features in a clean, minimal codebase.
In this talk, Tianyu will share TorchTitan’s design and optimizations for the Llama 3.1 family of LLMs, spanning 8 billion to 405 billion parameters, and showcase its performance, composability, and scalability.
As large-scale machine learning becomes increasingly GPU-centric, modern high-performance hardware like NVMe storage and RDMA networks (InfiniBand or specialized NICs) are becoming more widespread. To fully leverage these resources, it’s crucial to build a balanced architecture that avoids GPU underutilization. In this talk, we will explore various strategies to address this challenge by effectively utilizing these advanced hardware components. Specifically, we will present experimental results from building a Kubernetes-native distributed caching layer, utilizing NVMe storage and high-speed RDMA networks to optimize data access for PyTorch training.