Run:ai - AI Infrastructure Management for Innovators

Run:ai delivers a transformative AI infrastructure management platform, optimising GPU utilisation and workload orchestration.

It integrates AI lifecycle support, strategic resource management, and dynamic accelerators, maximizing operational efficiency and reducing the need for manual intervention. This enables enterprises to scale AI initiatives economically while aligning with business goals.

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Key Challenges Driven By AI Transformation

  • Growing data science teams and rapidly evolving ecosystems
  • Distributed compute resources with no / limited centralization
  • Strategically aligning resources to dynamic business requirements
  • Diverse AI workloads patterns and resource requirements
  • GPU starvation / overprovisioning

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Solution - AI Infrastructure Management

AI Infrastructure Management represents a transformative approach to managing and optimising AI resources and operations within an enterprise. It is an ecosystem designed to overcome the inherent challenges in traditional AI infrastructure by being dynamic, strategic, and integrally aligned with business objectives.

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The Run:ai Platform

Run:ai offers the leading infrastructure management platform that revolutionises the way enterprises manage and optimise their AI and machine learning operations. This platform is specifically designed to address the unique challenges of AI infrastructure, enhancing efficiency, scalability, and flexibility.

 

Improved Productivity, Faster Time to Market

Zero touch resources

Promote practitioner productivity with the Run:ai GUI. Run:ai makes it simple for a practitioner to access compute and run workloads without being a technical expert. Workspaces and templates were built with end users in mind.

 

Tool flexibility

Provide ultimate flexibility to practitioners to integrate experiment tracking tools and development frameworks. With Run:ai's rich integration options you can work with your favorite ML stack right away.

 

Cloud-like elasticity

Run:ai's Scheduler assures near on-demand access to GPUs from a finite resource pool. Dynamic MIG and GPU Fractioning give you full flexibility when more GPU power is needed.

 

 

Centralised Visibility and Control

Fully-utilised compute

With features like GPU Scheduling, Quota Management, GPU Fractioning and Dynamic MIG (Multi Instance GPU) Run:ai's platforms can help you squeeze more from the same infrastructure, on-prem and in the cloud.

 

Enterprise visibility

Real-time and historical metrics by job, workload, and team in a single Dashboard. Assign compute guarantees to critical workloads, promote oversubscription, and react to business needs easily.

 

Central policy control

 

Our built-in Identity Management system integration, and Policies mechanism, allow you to control which team has access to which resources, create node pools, and manage risk.

 

Why Run:AI

Efficient Utilisation of Compute Resources

Maximises GPU efficiency, reducing additional hardware needs

Strategic Resource Management

Aligns resources with business objectives for operational efficiency and competitive advantage

Scalability and Agility

Enhances the ability to quickly scale AI initiatives, ensuring agility and competitiveness

Comprehensive AI Lifecycle Support

Accelerates innovation and shortens the path from idea to implementation

Integration and Collaboration

Fosters innovation through seamless integration with leading technologies

Operational Efficiency

Reduces operational costs, freeing up resources for strategic initiatives

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