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.

George Crump is the Chief Marketing Officer at VergeIO, the leader in Ultraconverged Infrastructure. Prior to VergeIO he was Chief Product Strategist at StorONE. Before assuming roles with innovative technology vendors, George spent almost 14 years as the founder and lead analyst at Storage Switzerland. In his spare time, he continues to write blogs on Storage Switzerland to educate IT professionals on all aspects of data center storage. He is the primary contributor to Storage Switzerland and is a heavily sought-after public speaker. With over 30 years of experience designing storage solutions for data centers across the US, he has seen the birth of such technologies as RAID, NAS, SAN, Virtualization, Cloud, and Enterprise Flash. Before 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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