ChalkTalk Video: High-Performance Storage for Machine Learning

Use cases like machine learning, deep learning and artificial intelligence all require massive amounts of performance. These systems use dedicated GPU accelerators for training machine learning algorithms and massive amounts of network bandwidth. These environments also push today’s all-flash systems to their breaking point. NVMe flash systems will help, but the problem is that most systems on the market today are block-based where most of these deep learning applications are designed for file systems. The problem here is most file systems are decades old and not optimized to take advantage of these new architectures. They are also ignorant of cloud resources.

WekaIO CEO and Co-founder Liran Zvibel joins Storage Switzerland for a ChalkTalk discussion on the limitations of current file systems and the need for a new file system that is optimized for NVMe and can leverage the cloud to burst workloads there.

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.

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