What is Run?
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.
How to use Run?
- 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.
