Distributed Training
AI Infrastructure
A file system that manages storage and access to files across multiple networked computers.
Detailed Explanation
Distributed File Systems (DFS) enable multiple computers to share and manage files seamlessly over a network. They ensure data consistency, fault tolerance, and efficient access by distributing storage across several nodes. This setup improves scalability, performance, and availability, allowing users to access files as if they were on a local drive, thus supporting large-scale data processing and AI workloads efficiently.
Use Cases
- •Use case: AI teams access and process massive datasets across multiple servers seamlessly, ensuring scalable and reliable data storage for machine learning training.
Related Terms
Other terms in the AI Infrastructure category