Accelerating Bioinformatics AI Use Cases with Kubernetes

Explore how to leverage Kubernetes and OpenStack for computationally intensive bioinformatics AI workloads in this 37-minute conference talk. Learn about the intersection of bioinformatics and artificial intelligence, focusing on Protein Language Models (PLMs) and their applications in analyzing biological data, including examples like Google's AlphaFold and Meta's ESM research. Discover practical approaches to fine-tuning PLMs for SARS-CoV-2 spike protein classification while managing the complex GPU resource requirements these tasks demand. Examine best practices for sharing Nvidia GPUs through techniques like MIG, Time Slicing, and MPS within an open source technology stack. Understand how to orchestrate these workflows using Argo Workflows and integrate Kubernetes-based solutions with traditional HPC cluster technologies such as Slurm commonly found in research laboratories. Gain insights into applying DevOps and MLOps methodologies to streamline both training and inference tasks in bioinformatics research environments.