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

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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 

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

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Nir Lubliner

Head of Partnerships

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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

Sandeep Brahmarouthu

Strategic Account Director

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

Josh Smith

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Roi Raiten

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Itay Vallach

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Analyst

Alex Belugin

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Raz Rotenberg

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Compute optimization for AI/ML teams

Antonio Rivera

Country Sales & Channel Director

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Sales  Executive , Business Development Manager

Keren Zebida

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Ronen Dar

HR Business Partner

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Placement officer for female IDF recruitments

Neta Skublevitz

Run:AI

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