Run

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About Run

Run is a groundbreaking AI optimization and orchestration tool designed to maximize GPU utilization for AI development. This platform dynamically manages AI workloads and resources, ensuring that AI initiatives are accelerated and run efficiently. With full visibility into AI infrastructure, workloads, and user interactions, Run streamlines operations and boosts productivity. Key features include an AI Workload Scheduler for optimized resource management, GPU Fractioning for cost efficiency, Node Pooling for managing heterogeneous AI clusters, Container Orchestration for distributed workloads, and Dynamic Resource Management promising up to 10x more workloads on the same infrastructure. Run is ideal for AI research institutions, tech enterprises, healthcare, and automotive industries, making it indispensable for large-scale AI initiatives.

Key Features

• AI Workload Scheduler: Optimizes resource management tailored for the entire AI lifecycle.
• GPU Fractioning: Enhances cost efficiency in environments like Notebook Farms and Inference environments by allowing fractional use of GPUs.
• Node Pooling: Manages heterogeneous AI clusters with quotas, priorities, and policies at the node pool level.
• Container Orchestration: Facilitates the orchestration of distributed containerized workloads on cloud-native AI clusters.
• Dynamic Resource Management: With features like GPU pooling and dynamic scheduling, Run.ai promises up to 10x more workloads on the same infrastructure.

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