

Run:ai
Transform your AI infrastructure with Run:ai to accelerate development, optimize resources, and lead the race in AI innovation.
Cost / License
- Subscription
- Proprietary
Platforms
- Online
- Software as a Service (SaaS)
Features
- Orchestration
- Kubernetes
- AI-Powered
- Container Orchestration
- Resource management
Tags
- optimize-resources
- workload-automation
- machine-learning-platform
- gpu-computing
- resource-allocation
- workload-management
- resource-optimization
Run:ai News & Activities
Recent News
- POX published news article about Run:ai
NVIDIA acquires Kubernetes-based workload management software provider Run:ai for $700MNVIDIA has announced it has officially entered a definitive agreement to acquire Run:ai, a software...
Recent activities
kdi23 added Run:ai as alternative to VideoGen API
taam-cloud added Run:ai as alternative to Taam Cloud
POX added Run:ai as alternative to Hugging Face Generative AI Services and NetMind
POX added Run:ai as alternative to NVIDIA NIM and AWS Neuron
Run:ai information
What is Run:ai?
Transform your AI infrastructure with Run:ai to accelerate development, optimize resources, and lead the race in AI innovation.
Built for AI. Specialized for GPUs. Designed with an eye on the future, Run:ai’s platform ensures your AI initiatives can always take advantage of cutting edge breakthroughs.
Run:ai Cluster Engine We’ve built the Cluster Engine so you could speedup your AI initiatives and lead the race.
- AI Workload Scheduler: Optimize resource management with a Workload Scheduler tailored for the entire AI life cycle
- GPU Fractioning: Increase cost efficiency of Notebook Farms and Inference environments with Fractional GPUs
- Node Pooling: Control heterogeneous AI Clusters with quotas, priorities and policies at the Node Pool level
- Container Orchestration: Orchestrate distributed containerized workloads on Cloud-Native AI Clusters
Meet your new AI cluster; Utilized. Scalable. Under control.
- 10x More Workloads on the Same Infrastructure: With Run:ai’s dynamic scheduling, GPU pooling, GPU fractioning, and more
- Fair-Share Scheduling, Quota Management, Priorities, and Policies: With Run:ai Workload Scheduler, Node Pools, policy enforcement, and more
- Insights Into Infrastructure and Workload Utilization Across Clouds and On-Premise: With overview dashboards, historical analytics, and consumption reports
Your new AI dev platform; Simple. Scalable. Open.
- Notebooks on Demand: Launch customized workspaces with your favorite tools and frameworks
- Training & Fine-tuning: Queue batch jobs and run distributed training with a single command line
- Private LLMs: Deploy and manage your inference models from one place







