Environmental concerns are emerging in datacenters. Composable GPU solution makes GPU sharing easier without sacrificing performance. Less GPU units will be required to support the system when computing resources are precisely allocated among servers. The composable architecture helps to reduce energy consumption as well as material wastes in datacenters.
GPUs play a big role in AI training projects, and the number of units needed to accelerate AI training process depends on the project scale. Composable GPU solution allows users to add or remove GPUs effortlessly to align with any AI, machine and deep learning applications while keeping your operation budgets under control. A highly flexible and scalable system improves training efficiency in AI labs.
SaaS and PaaS are backed up by powerful IT systems. As business grow, more and more servers will be required for various workloads. Faster system deployment allows you to deliver your software products to the end users in shorter time. Composable GPU solution improves agility to scale up and scale out your system, meeting different performance requirements while reduce unnecessary hardware purchases.
Composable GPU solution increases agility when dealing with dynamic user needs. Just like storage, GPUs can be pooled and allocated to different hosts upon request. Accelerator cards are expensive capital investments for IaaS business and the ability to alter GPUs among hosts on demand to meet different customer requirement can significantly reduce IT cost.
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