Challenges and considerations for hosting LMM applications in production

MLOps Coffee Sessions #178 with LLMs in Production Conference part 2 LLM on K8s Panel, Manjot Pahwa, Rahul Parundekar, and Patrick Barker hosted by Outerbounds, Inc.'s Shrinand Javadekar. // Abstract Large Language Models require a new set of tools... or do they? K8s is a beast and we like it that way. How can we best leverage all the battle-hardened tech that K8s has to offer to make sure that our LLMs go brrrrrrr. Let's talk about it in this chat. // Bio Shrinand Javadekar Shri Javadekar is currently an engineer at Outerbounds, focussed on building a fully managed, large-scale platform for running data-intensive ML/AI workloads. Earlier, he spent time trying to start an MLOps company for which he was a co-founder and head of engineering. He led the design, development, and operations of Kubernetes-based infrastructure at Intuit, running thousands of applications, built by hundreds of teams and transacting billions of $$. He has been a founding engineer of the Argo open-source project and also spent precious time at multiple startups that were acquired by large organizations like EMC/Dell and VMWare. Manjot Pahwa Manjot is an investor at Lightspeed India and focuses on SaaS and enterprise tech. She has had an operating career of over a decade within the space of fintech, SaaS, and developer tools spanning various geos such as the US, Singapore, and India. Before joining Lightspeed, Manjot headed Stripe in India, successfully obtaining the payment aggregator license, growing the team from ~10 to 100+, and driving acquisitions in the region during that time. Rahul Parundekar Rahul has 13+ years of experience building AI solutions and leading teams. He is passionate about building Artificial Intelligence (A.I.) solutions for improving the Human Experience. He is currently the founder of A.I. Hero - a platform to help you fix and enrich your data with ML. At AI Hero, he has also been a big proponent of declarative MLOps - using Kubernetes to operationalize the training and serving lifecycle of ML models and has published several tutorials on his Medium blog. Before AI Hero, he was the Director of Data Science (ML Engineering) at Figure-Eight (acquired by Appen), a data annotation company, where he built out a data pipeline and ML model serving architecture serving 36 models (NLP, Computer Vision, Audio, etc.) and traffic of up to 1M predictions per day. Patrick Barker Patrick started his career in Big Data back when that was cool, then moved into Kubernetes near its inception. He has put major features into the Kubernetes API and built several platforms on top of it. In recent years he has moved into AI, with a focus on distributed machine learning. He is now working with a startup to reshape the world of AI agents. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links ⁠Website: https://www.angellist.com/venture/relay Foundation by Isaac Asimov: https://www.amazon.com/Foundation-Isaac-Asimov/dp/0553293354 AngelList Relay blog: https://www.angellist.com/blog/introducing-angellist-relay --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Shri on LinkedIn: https://www.linkedin.com/in/shrijavadekar/ Connect with Manjot on LinkedIn: https://www.linkedin.com/in/manjotpahwa/ Connect with Rahul on LinkedIn: https://www.linkedin.com/in/rparundekar/ Connect with Patrick on LinkedIn: https://www.linkedin.com/in/patrickbarkerco/