Supermicro alliance tackles the storage bottlenecks holding back enterprise AI
The conversation around storage modernization used to revolve around capacity. Today, the dialogue centers on the role of storage as a strategic requirement for AI readiness. This doesn’t mean that storage’s transformation is simple. Many organizations are seeking to build AI on top of storage architectures that were designed before the AI era. These legacy environments are marked by fragmented silos and aging systems that complicate delivery of AI initiatives.
To resolve this dilemma, organizations are adopting storage infrastructure that can provide critical elements of performance, flexibility and efficiency, according to Allen Liu (pictured, right), senior product manager of architecture solutions at Super Micro Computer Inc.
“For Supermicro, what we want to do is … keep the performance and scale,” Liu said. “Second, we want to keep flexibility and composability so that makes sure the module can be used to assemble your solution. And the third is the efficiency. The efficiency is not only about performance, it’s not only about capacity, it’s also about usability, the TCO and all our solutions that make things all together work.”
