When you hear the terms “artificial intelligence” (AI) and “machine learning” (ML) (and let’s be honest, if you have even a sliver of interest in technology, it’s difficult not to), hyperconverged infrastructure (HCI) may not be the first thing that comes to mind. However, HCI is beginning to play an important role in high-performance use cases like AI and ML with its ability to capture, process, and reduce vast quantities of data at the source of creation in a small form factor. In this blog, the third in a 3-part series on hyperconverged infrastructure, we’ll examine the role HCI is playing in deploying a complete AI solution. If you’d like to read the previous blogs, you can read about the role that HCI plays in enabling a disaster recovery solution and how it is changing the dynamics for edge computing and remote offices.  






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