Run:ai is a cutting-edge platform designed to **optimize and orchestrate GPU compute resources** for AI and Deep Learning workloads. With NVIDIA’s recent acquisition, Run:ai is now even more powerful, helping businesses **accelerate AI development** and **maximize GPU utilization**.

What are the features of Run?

* **AI Workload Scheduler**: Optimizes resource management for the entire AI lifecycle. * **GPU Fractioning**: Increases cost efficiency for Notebook Farms and Inference environments. * **Node Pooling**: Manages heterogeneous AI clusters with quotas, priorities, and policies. * **Container Orchestration**: Streamlines distributed containerized workloads on Cloud-Native AI Clusters.

What are the use cases of Run?

* **AI Development**: Accelerate AI research and development with dynamic resource allocation. * **Inference & Training**: Efficiently manage GPU resources for model training and deployment. * **Multi-Cluster Management**: Gain full visibility and control over AI infrastructure across clouds and on-premise environments.

* **Launch Workspaces**: Use the CLI or GUI to create customized workspaces with your favorite tools and frameworks. * **Queue Batch Jobs**: Run distributed training with a single command line. * **Deploy Models**: Manage and deploy inference models from one centralized platform.