Run:ai - AI Optimization and Orchestration
Run:ai is a cutting-edge platform designed to transform your AI infrastructure, enabling faster development, optimized resource utilization, and leadership in AI innovation. Built specifically for AI workloads and specialized for GPUs, Run:ai ensures that your AI initiatives are always at the forefront of technological advancements.
Key Features
- CLI & GUI Workspaces: Provides tools and environments for seamless AI development.
- Open Source Frameworks: Supports popular frameworks like Llama-2, Falcon, and Mixtral.
- Multi-Cluster Management: Offers comprehensive dashboards and reporting for workload management.
- Resource Access Policy: Ensures secure and controlled access to resources.
Benefits
- Maximum Efficiency: Achieve up to 10x more workloads on the same infrastructure through dynamic scheduling and GPU fractioning.
- Secured & Controlled: Implements fair-share scheduling, quota management, and policy enforcement for robust security.
- Full Visibility: Provides insights into infrastructure and workload utilization across various environments.
Use Cases
- AI Workload Scheduler: Optimizes resource management across the entire AI lifecycle.
- GPU Fractioning: Increases cost efficiency in notebook farms and inference environments.
- Node Pooling: Controls heterogeneous AI clusters with quotas, priorities, and policies.
Run:ai empowers organizations to innovate faster, run more efficiently, and deploy more models rapidly. Whether you're a research institution or a production-focused company, Run:ai offers the tools and infrastructure needed to stay ahead in the AI race.
Real-World Impact
- Accelerated AI Development: Companies like Wayve have transitioned from research to production with Run:ai's help.
- Boosted GPU Efficiency: Organizations such as BNY Mellon have achieved 10x more GPU efficiency.
Discover how Run:ai can revolutionize your AI infrastructure and drive your projects to new heights.
