John Edwards

Author Archives: John Edwards

AI tackles workload management challenges in the data center

As data center workloads spiral upward, a growing number of enterprises are looking to artificial intelligence (AI), hoping that technology will enable them to reduce the management burden on IT teams while boosting efficiency and slashing expenses.AI promises to automate the movement of workloads to the most efficient infrastructure in real time, both inside the data center as well as in a hybrid-cloud setting comprised of on-prem, cloud, and edge environments. As AI transforms workload management, future data centers may look far different than today's facilities. One possible scenario is a collection of small, interconnected edge data centers, all managed by a remote administrator.To read this article in full, please click here

AI tackles workload management challenges in the data center

As data center workloads spiral upward, a growing number of enterprises are looking to artificial intelligence (AI), hoping that technology will enable them to reduce the management burden on IT teams while boosting efficiency and slashing expenses.AI promises to automate the movement of workloads to the most efficient infrastructure in real time, both inside the data center as well as in a hybrid-cloud setting comprised of on-prem, cloud, and edge environments. As AI transforms workload management, future data centers may look far different than today's facilities. One possible scenario is a collection of small, interconnected edge data centers, all managed by a remote administrator.To read this article in full, please click here

AI tackles data-center workload management

As data center workloads spiral upward, a growing number of enterprises are looking to artificial intelligence (AI), hoping that technology will enable them to reduce the management burden on IT teams while boosting efficiency and slashing expenses.AI promises to automate the movement of workloads to the most efficient infrastructure in real time, both inside the data center as well as in a hybrid-cloud setting comprised of on-prem, cloud, and edge environments. As AI transforms workload management, future data centers may look far different than today's facilities. One possible scenario is a collection of small, interconnected edge data centers, all managed by a remote administrator.To read this article in full, please click here

AI tackles data-center workload management

As data center workloads spiral upward, a growing number of enterprises are looking to artificial intelligence (AI), hoping that technology will enable them to reduce the management burden on IT teams while boosting efficiency and slashing expenses.AI promises to automate the movement of workloads to the most efficient infrastructure in real time, both inside the data center as well as in a hybrid-cloud setting comprised of on-prem, cloud, and edge environments. As AI transforms workload management, future data centers may look far different than today's facilities. One possible scenario is a collection of small, interconnected edge data centers, all managed by a remote administrator.To read this article in full, please click here

NVMe over TCP: How it supercharges SSD storage using standard IP networks

Soon after data centers began transitioning from hard drives to solid-state drives (SSD), the NVMe protocol arrived to support high-performance, direct-attached PCIe SSDs. NVMe was followed by NVMe over Fabrics (NVMe-oF), which was designed to efficiently support hyperscale remote SSD pools, effectively replacing direct-attached storage (DAS) to become the default protocol for disaggregated storage within a cloud infrastructure.To read this article in full, please click here

NVMe over TCP: How it supercharges SSD storage using standard IP networks

Soon after data centers began transitioning from hard drives to solid-state drives (SSD), the NVMe protocol arrived to support high-performance, direct-attached PCIe SSDs. NVMe was followed by NVMe over Fabrics (NVMe-oF), which was designed to efficiently support hyperscale remote SSD pools, effectively replacing direct-attached storage (DAS) to become the default protocol for disaggregated storage within a cloud infrastructure.To read this article in full, please click here

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