Run:ai - Accelerate AI Development with Run:ai
Transform your AI infrastructure with Run:ai's platform to accelerate development, optimize resources, and lead the race in AI innovation. Built specifically for AI and specialized for GPUs, Run:ai provides tools and solutions to enhance AI workload scheduling, GPU fractioning, node pooling, container orchestration, and more.
Run:ai Product Information
What is Run:ai?
Run:ai offers a comprehensive AI Dev Ecosystem including CLI & GUI Workspaces, Open Source Frameworks, AI Workload Scheduler, and dedicated solutions for optimizing resource management. The platform provides full visibility into infrastructure and workload utilization across clouds and on-premise, enabling maximum efficiency and control. Run:ai is designed to deploy on any infrastructure and Kubernetes, supporting GPU, CPU, ASIC, storage, and networking.
How to Use Run:ai?
Accelerate AI development and time-to-market with Run:ai's AI platform. Utilize the dynamic scheduling, GPU pooling, GPU fractioning, fair-share scheduling, quota management, and policy enforcement capabilities to boost GPU availability and multiply the return on your AI investment. The platform also integrates with LLMs for inference and training, enabling rapid AI development and deployment of models.
Core Features of Run:ai
- AI Workload Scheduler
- GPU Fractioning
- Node Pooling
- Container Orchestration
- Dynamic Scheduling
- Quota Management
- Policy Enforcement
- Integration with LLMs
Use Cases of Run:ai
- Accelerated AI development and time-to-market
- Optimized GPU resource management
- Maximum efficiency and control of infrastructure
- Supports deployment on any infrastructure and Kubernetes
- Rapid AI development and deployment of models
Run:ai Badge
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