Run:ai helps companies execute on their AI initiatives quickly, while keeping budgets under control, virtualizing expensive hardware resources in order to pool, share and allocate your resources efficiently.

TLV Partners

S Capital

Insight Partners

Tiger Global Management

Run:ai

By now we should all be thinking about best practices for high performing orchestration of our GPUs for building ML models, ensuring utilization amid the shortage, and optimize our resources for time and cost efficiency. 

So, hows your setup looking?

If you're looking for insightful advice from a place of proven results and successful experience, check out Run:ai's CTO and Co-Founder, Ronen Dar, on all things GPU Orchestration for Building ML Models, in this new article by Data Driven --> 

https://hubs.li/Q02jZTRS0

#runaiinthepress #runaifounder #datadriven #aiinfrastructure #aiinnovation 

This week we're stepping up our integration videos, with Steve Blow guiding us through how to run multi-node distributed training with PyTorch and Run:ai 💪 

He talks us through the set up, and the selection of bespoke options so you can decide how you run your workloads, environments, add commands for the whole cluster or break down by nodes, specify your data sources for attachment and so much more. 

Check out the full video to see if you should be running multi-node distributed training and how it could truly benefit your AI workflow--> 

#pytorchrunai #distributedtraining #aiinfrastructure #aiinnovation #devenvironments #runai 

This year Run:ai is bringing you a new series to keep us up to date on all the latest technical innovations and AI products, deep diving into infrastructure, and getting the incredible insights from the experts building AI, on the ground. 

We're kicking off the series with Oren Toledano, CEO and Co-Founder of Swimm. 

He gives us the scoop on their new product that gives developers and coders an AI platform to build their code. 

We discuss how their just four year old startup has gone from strength to strength, now pivoting to the world of AI, and we touched on how the GPU shortage is impacting them, as well as talking us through his personal tech journey. 

Check out the full episode for an inspirational Monday Watch, watch the full video here --> https://lnkd.in/dBKJm5qG 

#aispotlight #aiceo #aicommunity #aiinfrastructure #runai #swimm #aiinnovation #developer #mlops #devops 

I have some exciting news to share with you.
If you are working on GPU-intensive tasks and want to use NVIDIA Multi Instance GPU (MIG) mode, but you don't have access to the GPUs that support it. There is a solution!. With Run:ai and assistance from the team OCF Limited you can split any GPU into smaller slices and get all the benefits of MIG mode. This is especially useful for those running NVIDIA L40s and L40, which can run multiple workloads with high performance and efficiency. If you want to learn more then please contact me for a chat and a demo.

#ai #gpu #deeplearning #hpc #genai 

Andrew Dean Yael Dor

Happy February 1st LinkedIn-ners! 

We're looking at the month ahead and needless to say we're excited, because in true Run:ai style we're going to be all over the world 🌎 

A big bunch of Runners are all heading to Miami this weekend for our Sales Kick-off. It will be an amalgamation of extreme product learning, content creation, customer stories and lots of fun, and while we're there we'll be celebrating our new product release (coming soon to a GPU near you).

Then, we'll simultaneously be in Singapore and London! ✈ 

In london we're throwing an innovative and exclusive event with our partners Weights & Biases, where Steve Blow and Gourab De will be sharing their insights to ensure effective MLOps in the future. While in Singapore we'll be hanging out with our other partners Fujitsu at their booth at Super Compute Asia. 

Join us on our journey, so we can help yours. To the best month of 2024 yet 👊 

#february #bringiton #goingglobal #runaiglobal #singapore #london #miami #TelAviv 

HSTS

DNSSEC

Person Schema

U.S. Server Location

Apple Mobile Web App Capable

Apple Mobile Web App Status Bar Style

UNPKG

Envoy

Hetzner

Hubspot Hosted

Director Technical Product Marketing

Gijsbert Janssen

Engineering

Itay Vallach

Sales and Support

Limor Elias

Lior Balan

Vice President, Americas

Ryan Mills

Marketing and Product

Sandeep Brahmarouthu

Alon Lavian

Product Manager

Gal Revach

Senior Product Manager

Hagay Sharon

Hila Nuri

Lior Gal

Daniel Aronovitz

Rona Segev

Haim Sadger

Ayala (Aya) Peterburg

Lonne Jaffe

Omri Geller

CEO & Co-Founder

Ronen Dar

CTO, Co-Founder

Onur Aksoy

Vice President EMEA

Software Acquired Companies With Fewer Than 100 Employees (Top 10K)

Software Companies With Less Than $10M in Revenue (Top 10K)

Software Companies With Less Than $500M in Revenue (Top 10K)

Middle East Artificial Intelligence (AI) Female Founded Companies

Run:AI develops a compute-management platform for AI. By centralizing and virtualizing GPU compute resources, Run:AI provides visibility and control over resource prioritization and allocation while simplifying workflows and removing infrastructure hassles for data scientists. This ensures AI projects are mapped to business goals and yields significant improvement in the productivity of data science teams, allowing them to build and train concurrent models without resource limitations.

IT and research teams retain control and gain real-time visibility – including seeing and provisioning run-time, queueing, and GPU utilization of each job. A virtual pool of resources enables researchers to view and allocate compute resources across multiple sites – whether on-premises or in the cloud. The Run:AI platform is built on top of Kubernetes, enabling simple integration with leading open source frameworks.
Run:AI was founded on 2018 and is headquartered in Tel-Aviv, Israel.

Series C - Run:AI

Series B - Run:AI

Series A - Run:AI

Seed Round - Run:AI

Tel Aviv

Israel

Asia

Run:AI

Amid Adversity: Israeli Tech M&A Focuses On High-Value Deals In 2024

CoreWeave Partners with Run:ai on AI Inference

AI Startup Deal-Making Gaining Momentum — Is That Good?

Justice Department reportedly investigating Nvidia’s Run:ai acquisition

Run:ai Joins Vultr Cloud Alliance, Supports AI Initiatives With AI Workload Orchestration Platform

Vultr And Run:ai Partner To Enhance AI Infrastructure

AI resource management solutions for OpenShift integration

Global Funding And M&A Picked Up In Q2, While AI Funding Mushroomed

Run:ai integrates into OpenShift for efficient AI resource management

Manages AI clusters, optimizing GPU utilization through dynamic scheduling, pooling, and fractioning.

Provides visibility and control over AI infrastructure, workloads, and user access, supporting multi-cluster management.

Schedules AI workloads across clusters, optimizing resource management and efficiency.

Allows fractional GPU allocation to increase cost efficiency in various environments.

Manages heterogeneous AI clusters with quotas, priorities, and policies at the node pool level.

Orchestrates containerized workloads on cloud-native AI clusters.

India

Singapore

United States

North America

Kenya

Africa

United Kingdom

Europe

DeepCode provides an AI-powered code review service.

DeepCode

Unqork is a technology company developing a codeless as a service (CaaS) platform.

Unqork

Lightlytics

MayaData

SAP HANA Cloud offers cloud-based database and data management services.

SAP HANA Cloud

Databricks offers a unified analytics platform for data engineering, data science, and machine learning.

Databricks Data Intelligence Platform

Saturn Cloud provides a data science platform for Python.

Saturn Cloud

Vertex AI offers modern machine learning services, with pre-trained models and tailored model generation.

Vertex AI

understand.ai is a competitor of Run:AI, generating 87% of Run:AI's revenue.

understand.ai

Allegro AI

Cameyo

Run:AI has built the world’s first compute-management platform for AI, providing visibility and control over resource prioritization and allocation while simplifying workflows for data scientists. It aims to impact the AI revolution and empower AI infrastructure and innovation.

Head of Customer Success & AI Solutions

Head Of Innovation

AI group manager

Software Group Manager

Big Data & Middleware platforms Group Lead

Academic Coordinator

Head of Customer Success & AI Solutions , Run:ai

Pini Solomovitz

Sr. Partner Marketing Manager

Global Channel Marketing Manager

Channel Marketing Specialist

Channel Sales Support

Web Administrator of Internal Portals

Information Specialist

Sr. Partner Marketing Manager at Run:ai

Maya Gordon

Co-Founder & CEO

CEO and Co-Founder

Technologist

Teaching Assistant

Director of Solutions Engineering

Head of Solutions Engineering

Solutions Engineering Lead

Solutions Architect

Senior Presales Engineer

Domain Expert

Professional Services Engineer

DevOps Engineer

Sales Operations Coordinator

Director of Solutions Engineering at Run:AI

Guy Salton

Director of Enterprise Sales

EMEA, Director of Business Development and Sales

Sergeant First Class

Director of Enterprise Sales at Run:AI

Director Of Sales And Business Development APAC

Vice President Sales Marketing APAC

Regional Director Of Sales And Marketing for Japan & Korea

Pre Sale Engineer

Hardware Engineer

Director Of Sales And Business Development APAC at Run:AI

Nir Lubliner

Head of Partnerships

Global Business Development, Google Cloud

Senior Manager, Global Business Development

Head of Business Development

Business Development

Various Sales & Marketing roles

Intern

Global Head of Business Development and Partnerships @ Run:ai | ex-AWS, ex-Google, ex-Cloudera | Data and AI | Duke MBA

Strategic Account Director

Enterprise Account Executive

Head of Key Accounts

Commercial Sales

🏃🏽 Running Enterprise AI Transformations || Optimizing AI Resource Capacity & Planning

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