GPU Share is a platform that allows developers and researchers to share and access underutilized GPU resources. Inspired by “sllm – Split a GPU node with other developers, unlimited tokens,” this service addresses the high cost and limited availability of powerful GPUs. Users can rent out their idle GPUs or access a pool of shared GPUs for tasks like AI model training, scientific simulations, and machine learning development. The platform handles scheduling, resource allocation, and billing, making GPU access more affordable and accessible.