AI Workload Storage Options
AI Workload Storage Options


Author: Google Cloud Tech – Duration: 00:03:54
High-performance AI and machine learning workloads require equally high-performance storage. This video explores Google Cloud's top storage recommendations for keeping your expensive accelerators fully saturated during AI training and inference. We're looking at Managed Luster for its unmatched throughput and Google Cloud Storage (GCS) with GCS FUSE and Anywhere Cache for its flexibility and cost-effectiveness. Discover the right storage solution to lay the foundation for your AI applications. Chapters: 0:00 – Introduction 0:31 – Storage Training for AI: Managed Luster 1:19 – Training Alternative: Google Cloud Storage with GCS FUSE 2:08 – Storage for Inference: GCS with Anywhere Cache 2:32 – Inference Alternative: Managed Luster 2:55 – Summary of Storage Recommendations 3:25 – Conclusion Resources: High Parallel File System performance → https://goo.gle/ra-managed-lustre
Optimize AI and ML workloads with Cloud Storage FUSE → https://goo.gle/ra-gcs-fuse
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloud #GCSFUSE #CloudStorage Speakers: Drew Brown products mentioned: AI infrastructure, cloud storage






