Pain drives the adoption of new IT solutions. The need for inexpensive shared storage for VMware virtualization drove the proliferation of storage area networks (SANs) — the massive data storage systems that are now a staple in modern data centers. High on-prem IT costs to run applications and store the massive amounts of data created and managed by SANs drove the adoption of cloud computing, enabling organizations to economically access applications and expensive, high-value resources such as storage to power native applications.
Meet the new challenge: AI and machine learning (AI+ML). The ability to share high-speed NVMe flash storage resources can no longer match the performance required to effectively calculate that data in real time for AI+ML operations. Graphics processing (GPU) resources that can calculate data three-dimensionally (i.e., visual computing), versus linear, transactional calculations of traditional CPUs, have been introduced into the data center ecosystem to improve data performance to meet the needs of AI+ML.
Pain drives the adoption of new IT solutions. The need for inexpensive shared storage for VMware virtualization drove the proliferation of storage area networks (SANs) — the massive data storage systems that are now a staple in modern data centers. High on-prem IT costs to run applications and store the massive amounts of data created and managed by SANs drove the adoption of cloud computing, enabling organizations to economically access applications and expensive, high-value resources such as storage to power native applications.
Meet the new challenge: AI and machine learning (AI+ML). The ability to share high-speed NVMe flash storage resources can no longer match the performance required to effectively calculate that data in real time for AI+ML operations. Graphics processing (GPU) resources that can calculate data three-dimensionally (i.e., visual computing), versus linear, transactional calculations of traditional CPUs, have been introduced into the data center ecosystem to improve data performance to meet the needs of AI+ML.
