MLOps.community Berlin Meetup 05

Hello Community!

Get your calendars marked for the 14th of September as we come together for a new edition of our MLOps.community Berlin Meetup at GetYourGuide.

We will have 2 main talks, multiple lightning talks and a trivia quiz in which you can win cool prizes! Make sure to be on time (see agenda below) to take part in the trivia.

📌 Meetup Speakers:

1️⃣ Ekin Karabulut - GPU: ‘Greatly Problematic Units’? - Tales from the Trenches of Resource Allocation

About the talk: In the realm of AI, GPUs play a crucial role in data science projects. Yet, squeezing the most out of them is a challenge, particularly for data scientists with limited resources and time. This talk explores the often-overlooked world of GPU orchestration and allocation with a dash of humour. We’ll address common mistakes like underutilization, static assignments, and resource sharing pitfalls. Introducing Genv, an open-source tool, we’ll transform these challenges into opportunities for seamless and efficient AI workflows.

About Ekin: Meet Ekin, a passionate data scientist, and GPU enthusiast. During her Master’s studies, Ekin dove into the privacy implications of federated learning with deep neural networks while also gaining practical experience as a data scientist. Through her journey, she observed inefficiencies in GPU usage both in the research and industry settings. As a Data Scientist at Run:ai she thus established the “AI Infrastructure Club” Discord server - to discuss all things GPU-related, exchange ideas, and support each other in making the most out of GPUs. To further streamline GPU usage for data scientists, Ekin and the Run:ai team actively work on “Genv,” a fully open-source project to use and share GPUs efficiently.

2️⃣ Andrei Vishniakov - Craft, Scale, Win: Your ML Platform Journey!

About the talk: Many companies at some point face a need to have some ML Platform to accelerate ML adoption. How can you get one and make sure your team can maintain it in the long run? This talk will give you a practical guide on how to approach ML Platform building: What options do we have, and what are the drawbacks? How do you ensure the stability of your ML Platform in a world where new MLOps tools pop up every week and make your ML Platform usable by Data Scientists?

About Andrei: Andrei is a Machine Learning Engineer based in Berlin with a strong passion for building ML Platforms at scale. Having 10+ years of industry experience in total and 5+ years solely building ML Platform Solutions. His experience as a “Full Stack Data Scientist” helps a lot to feel platform users’ pain points and help solve them. Currently, he's working on making MLOps simple for all at ZenML (a startup from Munich). Previously he worked at HelloFresh, one of the biggest Meal Kit delivery companies in the world, where he was building an ML Platform for Data Science, Data Engineering, and Data Analytics teams from scratch.

The complete meetup agenda is the following:

• 6:00 pm - Open the doors & Food
• 6:30 pm - Trivia quiz
• 7:00 pm - Talk 1️⃣
• 7:30 pm - Break
• 7:50 pm - Talk 2️⃣
• 8:20 pm - Lightning talks (5 min each)
• Lightning Talk 1: Martin Jewell (MLOps Engineer at GetYourGuide) - Branch-based Model Experimentation
• Lightning Talk 2: Nick Jetten (Co-founder/CEO Enjins, co-founder Deeploy) - Productionizing ML in a Scale-up Setting
• 8:45 pm - Socialize

We are looking forward to seeing you there!

🔒 Code of Conduct: Please familiarize yourself with our Code of Conduct before attending the event. We strive to create an inclusive and respectful environment for all participants. By joining us, you agree to abide by the guidelines outlined in our Code of Conduct. You can find it here.