Artificial Intelligence (AI) and Machine Learning (ML) workloads are fundamentally different from any other workload. These workloads deal in data sets measured in dozens of petabytes of capacity, and large percentages of it can go from dormant to active at any moment. The high storage requirement and highly active data set make using all-flash arrays or even large flash caches impractical.
IT planners need to rethink their designs to create infrastructures that are highly parallel and leverage high capacity hard disk drives to strike the right balance of performance and capacity. These infrastructures also need metadata efficiency, since AI and ML workloads are metadata heavy.
Join Storage Switzerland and Panasas for our on demand webinar “Designing Storage Infrastructures for AI and ML Workloads.”
In 30 minutes, learn:
- Why all organizations need to prepare for AI and ML
- The challenges of AI/ML at scale
- Why current storage infrastructures can’t meet the AI/ML at scale challenge
- Requirements of an At-Scale AI/ML Storage Infrastructure
Register and get access to our exclusive eBook “Is Your Storage Infrastructure Ready for the Coming AI Wave?”.
Twelve years ago George Crump founded Storage Switzerland with one simple goal; to educate IT professionals about all aspects of data center storage. He is the primary contributor to Storage Switzerland and is a heavily sought after public speaker. With over 25 years of experience designing storage solutions for data centers across the US, he has seen the birth of such technologies as RAID, NAS and SAN, Virtualization, Cloud and Enterprise Flash. Prior to founding Storage Switzerland he was CTO at one of the nation's largest storage integrators where he was in charge of technology testing, integration and product selection.
