Run.ai

AI Enablers, Computing, Technologies
Deep Learning
Founder alumni from military unit 8200

Business Overview

Run deep learning experiments at maximum speed and cost efficiency. We optimize, distribute and manage your training workloads transparently, allowing your data science group to stop worrying about compute-related inefficiencies and experiment in shorter, more cost efficient cycles. We’re offering our platform to select data science teams. If you’d like to apply for a free trial – or just receive some super interesting stories about deep learning and parallel computing – leave your email here

Operating Status
Active
Founded
January 2018
Employees
23
Business model
B2B
Funding stage
Series B
Business stage
Launched
Revenue status
Revenue Generating
Total funding
$43 Million
Sectors
AI Enablers, Computing, Technologies, Virtualization

Founders

Run.ai
Ronen Dar
CTO
AI Expert
Run.ai
Omri Geller
CEO
AI Expert

Board Members and Advisors

Run.ai
Haim Sadger
Board Member
Run.ai
Ayala Peterburg
Board Member
Run.ai
Yonatan Mandelbaum
Board Observer
Run.ai
Rona Segev
Board Member

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.
Funding Growth Multiple
3.2x

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

January 2021
Series B
$30 M
April 2019
Series A
$10 M
April 2018
Seed
$3 M

AI Technology Stack

AI Description

Run:AI’s Deep Learning (DL) orchestration platform helps organizations manage Graphics Processing Unit (GPU) resource allocation and increase cluster utilization. Run:AI pools compute resources and then applies advanced scheduling to dynamically set policies and orchestrate jobs. IT gains full control over GPU utilization across nodes, clusters, and sites, while data scientists speed DL initiatives by accessing compute when and how they need it.

AI employees
5
AI types
Deep Learning
AI tools
Docker, Kubernetes
AI hardware
GPU

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