Dynamic GPU Fractions are very well-suited for environments with fluctuating workload demands, like AI research and development, where workloads often vary in intensity over time 🚀 Researchers conducting experiments or developing models may require varying levels of GPU resources depending on the complexity of the task at hand. With Run:ai's Dynamic GPU Fractions, these workloads can dynamically adjust their resource allocation to match their specific requirements, ensuring optimal performance without over-allocating resources. Want all the details of how Run:ai's GPU Fractioning works? Check out the full blog here--> https://lnkd.in/dDUgMpm3 #runaifeature #GPUFractioning #FractionGPUs #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #MachineLearningInfrastructure #runai #aistack #ml
Run:ai
Software Development
Tel Aviv, Israel 24,008 followers
Squeeze more from your GPU Cluster and streamline AI development with Run:ai
About us
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.
- Website
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http://www.run.ai
External link for Run:ai
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Tel Aviv, Israel
- Type
- Privately Held
- Founded
- 2018
Locations
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Primary
17 Ha'arbaa Street
Tel Aviv, Israel 60198, IL
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85 Delancey st
The Yard
New York, NY 10002, US
Employees at Run:ai
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Shahar Kaminitz
Tech Entrepreneur. Founder & CEO at Worklight, Insert. Author of the novel "Human Resources".
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Maya Gordon
Sr. Partner Marketing Manager at Run:ai
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Menny Hamburger
Software Engineer at Run:AI
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Sam Heywood
Vice President Product Marketing @ Run:ai | Global Product Marketing Leader
Updates
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Did you know we released a Hugging Face integration with Run:ai’s Version2.18? This exciting new integration ensures users can leverage the latest advancements in LLMs without the hassle of complex configurations, further enhancing productivity and innovation in AI-driven projects 🚀 💥 By combining Run:ai's resource orchestration capabilities with Hugging Face's state-of-the-art transformers, organizations can now accelerate their AI development while maintaining flexibility and control! #runaiintegration #huggingfaceintegration #runaiv218 #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI#AIScaling#MachineLearningInfrastructure #runai #aistack #ml
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This week we're bringing you RunTalks with Karan Jain, Machine Learning GTM for Amazon Sagemaker at Amazon Web Services (AWS) 🚀 🤸♀️ Run:ai's Hayley Grossman sat down with Karan to discuss how transformative the industry has become since we saw GenAI take off, how the entire ecosystem has come together, and how synergies have been created where they never existed before! It's clear GenAI has made space for everyone all working together for the mission of making peoples lives easier, and Karans journey into the industry was pretty fascinating. Starting in engineering, he transitioned to Product Marketing, working across electric vehicles, the Financial Services Industry, and Client devices, to moving to cloud, and then ultimately machine learning ⚙️ They discussed how staying innovative means embracing "the never ending learning journey" and how amazingly AWS fosters that culture internally to ensure they're always at the cutting edge of technological evolution. Check out the full episode here--> https://hubs.li/Q02LFr1z0 #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #runaiseries #MachineLearningInfrastructure #runai #aistack #ml #runtalks
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Did you know Run:ai integrates with #ArgoWorkflows? At run:ai we prioritize customer needs over everything else! We develop for our users to ensure a time and cost saving AI Infrastructure and that's why we integrate with SO many tools! Check out all our integrations here --> https://hubs.li/Q02LphMf0 #runaiintegrations #techintegration #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #MachineLearningInfrastructure #runai #aistack #ml
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Have you met NVIDIA's NIM technology? A short while back, when we were recording our Beers with Engineers series, Run:ai's Ekin Karabulut got to talk to Adam Tetelman, Engineering Architect at NVIDIA to see what NVIDIA's NIM's are all about 🚀 Did you know you can instantly deploy GenAI with NVIDIA NIM microservices? 🤸♀️ If you haven't met NIMs yet, now is a good time to understand if this easy-to-use solution could change your AI infrastructure. NIMs has the potential to elevate your inferencing and model deployment, saving time and effort You can actively play with NIMs online, totally for free. Hear about NIMs, straight from Adam! #NVIDIANIM #Beerswithengineers #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #NIMS #CloudAI #AIScaling #MachineLearningInfrastructure #runai #aistack #ml
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This week we’re sharing our Runtalks with Doron Sterlicht, Head of R&D for Amdocs technology, starting off with some amazing advice if you're just starting out in your AI journey 🚀 He leads Amdocs GenAI AmAIz Platform, the telecommunications platform they’re building with NVIDIA to disrupt the telecoms operations industry! Doron talks about how they’re not only deploying copilots within their own products, but also looking at use cases and personas they can augment with the AI- supercharged by their expertise in the telecoms space 💥 Run:ai's Hayley Grossman gets into the nitty gritty about Dorons journey, how to cultivating an innovative culture, the complexities and challenges of building their product and so much more… Check out the full episode here—> https://hubs.li/Q02KTVLJ0 #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #runaiseries #MachineLearningInfrastructure #runai #aistack #ml #runtalks
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Distributed training is crucial for accelerating training times and handling models that can't fit into a single GPU. PyTorch simplifies this with Data Parallelism and various Model Parallelism techniques. When diving into distributed training using PyTorch, you'll frequently encounter PyTorch Elastic (Torch Elastic), brought to you by Hagay Sharon and Ekin Karabulut Our new blog introduces PyTorch Elastic jobs, how they differ from regular distributed jobs, and how to leverage them as a Run:ai user, check out the full article here--> https://lnkd.in/da9y_NRH #MLblog #aiblog #newblogalert #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #AIScaling#MachineLearningInfrastructure #runai #ml
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It's episode 9 of RunTalks and we're back with one of our favorites, the product strategy guru himself- Gijsbert Janssen van Doorn! Gijs is not only an ex runner but now takes NVIDIA's Global DGX Platform's Technical sales & strategy to another level 🚀 We got to pick his brain about what the next few years in AI are likely to look like and get the scoop from the inside 😉 We discussed sustainability 🌍 and what an amazing job NVIDIA is doing with their products to ensure minimal energy use and efficient cooling that's sustainable too! As well as accelerated computing, the SuperPod certification Run received, what it means, and SO much more! Check out the full episode here--> https://hubs.li/Q02J_kTz0 #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #runaiseries #MachineLearningInfrastructure #runai #aistack #ml #runtalks
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Last week we released Run:ai v2.18 and the reaction is already getting us excited for what’s to come next! V2.18 brought new features such as GPU Memory SWAP and Real-Time Email Notifications, as well as an integration with Hugging Face and so much more! Did you get the chance to catch up on what’s new with Run:ai 2.18? Check out the blog of all blogs, on everything you need to know--> https://lnkd.in/dEST7_AZ Are you ready for a demo? Head over to run.ai/demo #newversionrelease #aiblog #newblogalert #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #MachineLearningInfrastructure #ml
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This week we announced our new partnership with Vultr with a shared solution brief 💪 our awesome partners took it a step further and created a blog on not only how our solutions work in tandem but why it makes sense to use Vultr and Run:ai together 🚀 Want to know more? Check out the blog here--> https://hubs.li/Q02JxJt40 #partnerblog #MLblog #aiblog #newblogalert #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #AIScaling#MachineLearningInfrastructure #runai #ml