Run:AI
Transform your AI infrastructure with Run:ai to accelerate development, optimize resources, and lead the race in AI innovation.
We facilitate AI Innovation by providing the software layer implicit in empowering AI infrastructure and innovation. By mastering deep technologies across Artificial Intelligence, Containers, Kubernetes, and GPUs, we enable the breaking of barriers and give people the tools to succeed both individually and collectively, revolutionizing the world with AI.
We believe in good DNA at the core of our brand. We believe if people are given the tools to succeed, so will a company. We believe in innovative acceleration, and that good infrastructure is at the heart of all technological success. We simplify and optimize to enable AI to surpass the curve, and succeed.
“Rapid AI development is what this is all about for us. What Run:ai helps us do is to move from a company doing pure research, to a company with results in production.”
Siddharth SharmaSr. Research Engineer, WayveAutonomous vehicle company Wayve ends GPU scheduling "Horror"
A multinational company, focused on innovations in computer vision technology, managed to go from 28% GPU utilization to optimization of over 70%, and achieve a 2x increase in the speed of their training models with Run:ai.
Benefits to working with Run:AI
Run:ai Dev
Accelerate AI development with comprehensive life cycle support from concept to deployment with:
- Preconfigured workspaces
- Model training and fine-tuning
- Optimize inference costs
Run:ai Control Plane
Take control and get visibility into your AI infrastructure, workloads, and users:
- Control resource allocations
- Enterprise readiness
- Gain visibility into AI Clusters
Run:ai Cluster Engine
Dynamically manage AI workloads and resources for optimal GPU utilization with:
- AI Workload Scheduler
- Fractional GPUs
- Node Pools
Interested in working with this partner?
- Run:ai Solutions Brief
The hidden challenges in AI Infrastructure and optimal AI Infrastructure management - Scaling Up AI/ML with Kubernetes
A white paper explains the basics of Kubernetes scheduling and some of the things to consicer when implementing Kubernetes architecture to orchestrated containerized AI workloads. - How one company went from 28% GPU utilization to 73% with Run:ai
A multinational company, focused on innovations in computer vision technology, managed to go from 28% GPU utilization to optimization of over 70%, and achieve a 2X increase in the speed of their... - Machine Scheduling for AI Workloads on GPUs
This white paper addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization,...
