How to Maximize Resources and Efficiency for Artificial Intelligence, Machine Learning and Edge Compute – Liqid Briefing Note

Composable infrastructure, whereby resources are disaggregated and may be re-composed on the fly, stands to serve a number of key, future-forward IT infrastructure requirements. Resources may be added and then returned for use by a different application on the fly. Those resources can also be better utilized, because they are not left sitting idle, tied to a singular application or system. Serving the most demanding workloads requires a composable architecture that can get granular, essentially treating the IT infrastructure as trays of compute, storage and networking resources down to the levels of graphics processing units (GPUs) and solid-state drives (SSDs), for optimal efficiency. Liqid provides software (The Liqid Command Center) and a top of rack peripheral component interconnect express (PCIe) switch that enables bare metal resources (including GPUs, field-programmable gate array (FPGAs), central processing units (CPUs), Non-Volatile Memory Express (NVMe), network interface cards (NICs), and Intel Optane memory) to be disaggregated and then dynamically provisioned over a PCIe fabric.