Run:ai

It's been a while since we've shared a RunTalks and this week Run:ai's Hayley Grossman discusses the AI industry and Infrastructure with Tyler Mattikow, Lambdas CTO. Tyler shares great advice for people hoping to join the industry as well as endless insights on building AI, the current trends and some more we can expect to come! ✌️Don't miss it- Watch the full interview here--> https://hubs.li/Q02DwWqH0 #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #runaiseries #MachineLearningInfrastructure #runai #aistack #ml #runtalks

Did you know that Run:ai and Oracle partnered up to share our tech with the world, so you can get your products to market faster? 🚀 If you missed it, this week we’re sharing Oracles blog on how to use Run:ai on OCI, discussing the cloud native approach to maximizing GPU utilization and accelerating AI workloads Learn how Run:ai on OCI can help organizations scale their AI capabilities, without corresponding, increasing operational complexities and costs! Read the full blog here—> https://hubs.ly/Q02DwWrv0 #MLblog #aiblog #newblogalert #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #AIScaling#MachineLearningInfrastructure #runai #ml

Last night we collaborated with NVIDIA to bring the #GenerativeAI Meetup to Bristol 🤩 We had a full house join us as we heard from NVIDIA's Snehal D., Steve Blow from Run:ai, Fan Wu from TurinTech AI, and techSPARK's very own Ben Shorrock. We demystified generative AI and gained insights into how to gain efficiency in AI workloads 💭 It was a full house at the beautiful St George's Bristol, as AI practitioners, researchers and enthusiasts came together to learn and connect. And not even the football could cut short the energy as conversations carried on long after the event 🗣️ As AI continues to impact the tech community we're going to continue to support, connect and educate our community. If you're looking at how to implement AI in your business then our AI Meetup will be what you're looking for 🔗 https://hubs.li/Q02DnnZG0 #AI #ArtificialIntelligence #BristolMeetup

Industry sectors all have specific demands and challenges when building out #AI infrastructure. However many aspects around optimisation, utilisation and management remain constant and cross sector. For example this FSI use case could also be applied to Manufacturing or Pharma to help drive strategic business initiatives. This is how just one Global bank scaled AI efficiently across regions and teams with Run:ai - does it ring true across other sectors? Absolutely!

It's here 🚨 We're in Boston with NVIDIA and Weights & Biases putting on our "Future of AI Infrastructure and MLOps" event! We're sharing all the industry insights to ensure our industry can continue to develop and grow, more efficiently and seamlessly, and what a line up we have for you 🤸♀️ NVIDIA's Director of Enterprise Generative AI Product Marketing, Amanda Saunders will give a talk, along with Weights & Biases ML Engineering Manager, Jack Bailin and Run:ai's Solutions Consultant, Wes Carroll If you didn't get a chance to secure a spot for this one, they'll be many more to come 😉 watch this space for details #techevent #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #AIScaling #MachineLearningInfrastructure #runai #aistack #ml #aiinnovation

In this weeks episode of RunTalks, we're sharing our talk with Sandeep Singh, Senior Solutions Architect for Microsoft. In this interview Run:ai's Hayley Grossman got Sandeeps take on how to leverage solutions to combat challenges from a perspective of shaping the industry. They talked about how open-source and early adoption, and how the beautifully aligned mission between Microsoft and NVIDIA to empower people to achieve more, is paving the way for ultimate success! They discussed the growing ecosystem, how the community effort is elevating the progression pace and what's next? Check out the full interview here, it won't disappoint--> https://hubs.ly/Q02B42g-0 #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #runaiseries #MachineLearningInfrastructure #runai #aistack #ml #runtalks

Do you know about the updates Run:ai's Workloads got in version 2.17? 🚀 We majorly updated the user interface giving you complete and seamless access, visibility and control from one centralized dashboard. This means you can see everything going on within your clusters 🙌 We've added a standardized API that's compatible with any workload, meaning unparalleled flexibility in the most convenient way. Don't miss the chance to level up your AI Infrastructure, get your demo now--> https://hubs.li/Q02B3xnR0 #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI#AIScaling#MachineLearningInfrastructure #runai #aistack #ml

That's a wrap 🎬 For the last couple of months we've had the chance to speak to AI leaders and practitioners paving the way for the incredibly technology still to come and get their thoughts on everything from research to dev and trend forecasting. After sharing insights from our friends at Komodor, Swimm, Venturfy, Weights & Biases, get-ikigai, Red Hat, TechTalk Media Group and more, we've come to an end of season 1 We got all the inside scoop on what their teams are working on and what they thing our industry will look like in the near and far future. And of course infrastructure was 🔝of the discussion list, with open-source coming a close second! So if you missed the series and want all the latest from the practitioners growing with the industry, watch the full series here--> https://hubs.li/Q02zNfFc0 #aispotlight #runseries #runai #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #aispotlight #runaiseries #MachineLearningInfrastructure #runai #aistack #ml

If you haven't heard- we're getting back together with Weights & Biases to discuss the Future of AI Infrastructure and MLOps 🤸♀️🚀💥 Organizations face similar challenges in building AI, including fast-changing conditions, users expecting exceptional AI experiences, and managing massive, complex datasets. ⚙️And GPU availability remains a key constraint for many in scaling AI value! Join us to gain cutting-edge insights, strategies, and solutions for navigating the dynamic landscape of AI in regulated environments. Make sure you don't miss out on the opportunity to network with like-minded individuals, engage in thought-provoking discussions, and discover how collaboration between Weights & Biases and Run:ai are revolutionizing the future of AI infrastructure! Our discussion will be led by Run:ai's Wes Carroll and Jack Bailin from W&B Spaces are limited! So, register now to secure your spot--> https://hubs.li/Q02zCmLm0 #techevent #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #AIScaling #MachineLearningInfrastructure #runai #aistack #ml #solutionsengineer #aiinnovation

It's that time of the week again- if you missed the latest episode, save it for later and grab a cold one, and get comfy for our next Beers with Engineers 🍻 In this new session Run:ai's Ekin Karabulut got to get into the nitty gritty of NIMS with Adam Tetelman, Principal Engineering Architect, Product Architecture at NVIDIA We got a first insight at GTC but in this episode we're getting all the details! They discuss what NIMS is all about and what sets them apart from usual dev processes, how you can actually go onto ai.nvidia and play with them right now on your web browser, made for developers and totally free 😍 and so much more. Check out the full episode here for everything you need to know about NIMS and have a few laughs with us along the way--> https://hubs.li/Q02zB8G80 #beerswithengineers #aiinfrastructure #AIOps #mlops #AIDevOps #GPUComputing #CloudAI #AIScaling #runaiseries #MachineLearningInfrastructure #runai #aistack #ml