GPU Sharing

GPUs Are What Drive High Performance  Computing Today

Through GPU sharing, IT teams can expect more efficient GPU utilization. GPU sharing ultimately enables multiple users or applications to share the computational resources of a single GPU, thus increasing efficiency. GPU sharing is commonly used in cloud computing environments, where multiple users can access the same physical GPU through a remote connection, as well as in high-performance computing systems, where multiple applications can share the resources of a single GPU to achieve faster computation times.

You can unlock more of your GPUs’ power with GigaIO’s rack-scale composable infrastructure which frees GPUs from servers, more than doubling utilization through precise, dynamic CPU/GPU composition. FabreX Enables breakthrough configurations, with lower acquisition, operating, and lifecycle costs and drives cloud-like agility without the cloud cost.

GPU Sharing allows for:

• A significant cost savings
• Accessibility
• Resource Pooling
• Reduced Maintenance
• Increased Collaboration