Unique GPU Abstraction capabilities “virtualize” all available GPU resources and ensure that users can easily access GPU fractions, multiple GPUs or clusters of GPUs
Run more experiments by simply sharing a single GPU. No specific GPU or code changes required.
Train models faster by pooling all GPU resources and allowing data scientists to use more GPUs when available.
Take models to production and run inference anywhere from on-premises, to edge, to cloud.