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.