Extract from an article by Grant Gumina
Today, there are more vendors and solutions than ever for IT infrastructure buyers to choose from. Despite the confusion this causes, decision makers are certain of two things:
- In the next five years, their infrastructure will resemble a hybrid cloud.
- They need to start building tools, processes and entire businesses powered by AI and machine learning before a digital-native competitor disrupts them.
Until recently, enterprise-ready file storage in the cloud simply didn’t exist, so customers have been held on-prem hostages with their legacy file storage vendors lacking the business models and technological know-how to build cloud file storage. (The good news is that a new generation of file storage is becoming available that embraces the best features of object storage while continuing to provide the speed and versatility of file.) But as things generally stand, current realities have resulted in legacy vendors tricking the market to think AI/ML is only about ultra-high performance model training use cases, where massive amounts of data need to be processed via a converged solution consisting of computing, storage and GPUs in a single product.
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