Run:AI
Run:AI

Run:AI

Run complex AI training and inference workloads at maximum speed and cost efficiency using Run:AI’s Compute Orchestration Platform on-prem or in the cloud.
Run:AI Overview
Run:AI’s Compute Orchestration Platform speeds up data science initiatives by pooling all available GPU resources and then dynamically allocating resources as you need them. One-click execution of experiments, no code changes required by the user, and most importantly, no more waiting around to access GPUs. Run:AI automates provisioning of multiple GPU or fractions of GPU across teams, users, clusters and nodes, and IT gains control and visibility over the full AI infrastructure stack through comprehensive, easy-to-use dashboards.
Product Links
Deploys On
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Other Public Cloud
  • Kubernetes
  • Private Cloud or Datacenter
  • SaaS

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GPU Virtualization and Capacity Management on Kubernetes with Run.ai
Run:AI Details
Benefits
• Meet the SLA of your AI/ML in production / inference with optimal speeds and better utilization of existing compute resources.
• Enables execution of AI/ML initiatives according to business priorities through defined policies.
• The Run:AI GUI gives IT leaders a holistic view of GPU infrastructure utilization, usage patterns, workload wait times, and costs.
• Enables flexible pooling and sharing of resources between users and teams.
• Converts spare capacity to speed by automatically distributing your model training tasks over multiple GPUs when they're available.
• Uses fractions of GPU to run multiple inferencing on the same GPU for cost savings.
Features
• Automated scheduling based on set policies and user priority for consumption of GPU compute on-prem and in the cloud
• Run multiple workloads on the same hardware with dynamic resource allocation
• Simple integration via Kubernetes plug-in
• Build and run ML pipelines (Integrated with Kubeflow)
• One-click execution of experiments, no need for data scientists to code
Run:AI Vendor Information
Vendor Overview

Run:AI’s Compute Orchestration Platform speeds up data science initiatives by pooling all available GPU resources and then dynamically allocating resources as you need them. One-click execution of experiments, no code changes required by the user, and most importantly, no more waiting around to access GPUs. Run:AI automates provisioning of multiple GPU or fractions of GPU across teams, users, clusters and nodes, and IT gains control and visibility over the full AI infrastructure stack through comprehensive, easy-to-use dashboards.

Vendor Details
Year Founded
2018
HQ Location
Tel Aviv, Tel Aviv, Israel
Ownership
Private
Run:AI Articles
Run:AI

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